Pub Date : 2025-02-21DOI: 10.17775/CSEEJPES.2023.07930
Zeyu Liu;Yun Zhou;Donghan Feng;Shaolun Xu;Yin Yi;Hengjie Li;Haojing Wang
Due to the centralization of charging stations (CSs), CSs are organized as charging station alliances (CSAs) in the commercial competition. Under this situation, this paper studies the profit-oriented dynamic pricing strategy of CSAs. As the practicability basis, a privacy-protected bidirectional real-time information interaction framework is designed, under which the status of EVs is utilized as the reference for pricing, and the prices of CSs are the reference for charging decisions. Based on this framework, the decision-making models of EVs and CSs are established, in which the uncertainty caused by the information asymmetry between EVs and CSs and the bounded rationality of EV users are integrated. To solve the pricing decision model, the evolutionary game theory is adopted to describe the dynamic pricing game among CSAs, the equilibrium of which gives the optimal pricing strategy. Finally, the case study conducted in an urban area of Shanghai, China, validates the practicability of the framework and the effectiveness of the dynamic pricing strategy.
{"title":"Dynamic Pricing of Electric Vehicle Charging Station Alliances Under Information Asymmetry","authors":"Zeyu Liu;Yun Zhou;Donghan Feng;Shaolun Xu;Yin Yi;Hengjie Li;Haojing Wang","doi":"10.17775/CSEEJPES.2023.07930","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.07930","url":null,"abstract":"Due to the centralization of charging stations (CSs), CSs are organized as charging station alliances (CSAs) in the commercial competition. Under this situation, this paper studies the profit-oriented dynamic pricing strategy of CSAs. As the practicability basis, a privacy-protected bidirectional real-time information interaction framework is designed, under which the status of EVs is utilized as the reference for pricing, and the prices of CSs are the reference for charging decisions. Based on this framework, the decision-making models of EVs and CSs are established, in which the uncertainty caused by the information asymmetry between EVs and CSs and the bounded rationality of EV users are integrated. To solve the pricing decision model, the evolutionary game theory is adopted to describe the dynamic pricing game among CSAs, the equilibrium of which gives the optimal pricing strategy. Finally, the case study conducted in an urban area of Shanghai, China, validates the practicability of the framework and the effectiveness of the dynamic pricing strategy.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"12 1","pages":"481-494"},"PeriodicalIF":5.9,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10899783","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146147679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-21DOI: 10.17775/CSEEJPES.2024.05670
Meiyi Li;Javad Mohammadi
The ever-increasing integration of stochastic renewable energy sources into power systems operation is making the supply-demand balance more challenging. While joint chance-constrained methods are equipped to model these complexities and uncertainties, solving these problems using traditional iterative solvers is often time-consuming, limiting their suitability for real-time applications. To overcome the shortcomings of today's solvers, we propose a fast, scalable, and explainable machine learning-based optimization proxy. Our solution, called Learning to Optimize the Optimization of Joint Chance-Constrained Problems $(mathcal{LOOP}-mathcal{JCCP})$, is iteration-free and solves the underlying problem in a single-shot. Our model uses a polyhedral reformulation of the original problem to manage constraint violations and ensure solution feasibility across various scenarios through customizable probability settings. To this end, we build on our recent deterministic solution $(mathcal{LOOP}-mathcal{LC} 2.0)$ by incorporating a set aggregator module to handle uncertain sample sets of varying sizes and complexities. Our results verify the feasibility of our near-optimal solutions for joint chance-constrained power dispatch scenarios. Additionally, our feasibility guarantees increase the transparency and interpretability of our method, which is essential for operators to trust the outcomes. We showcase the effectiveness of our model in solving the stochastic energy management problem of Virtual Power Plants (VPPs). Our theoretical analysis, supported by empirical evidence, reveals strong flexibility in parameter tuning, adaptability to diverse datasets, and significantly improved computational speed.
{"title":"Learning to Optimize Joint Chance-Constrained Power Dispatch Problems","authors":"Meiyi Li;Javad Mohammadi","doi":"10.17775/CSEEJPES.2024.05670","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2024.05670","url":null,"abstract":"The ever-increasing integration of stochastic renewable energy sources into power systems operation is making the supply-demand balance more challenging. While joint chance-constrained methods are equipped to model these complexities and uncertainties, solving these problems using traditional iterative solvers is often time-consuming, limiting their suitability for real-time applications. To overcome the shortcomings of today's solvers, we propose a fast, scalable, and explainable machine learning-based optimization proxy. Our solution, called Learning to Optimize the Optimization of Joint Chance-Constrained Problems <tex>$(mathcal{LOOP}-mathcal{JCCP})$</tex>, is iteration-free and solves the underlying problem in a single-shot. Our model uses a polyhedral reformulation of the original problem to manage constraint violations and ensure solution feasibility across various scenarios through customizable probability settings. To this end, we build on our recent deterministic solution <tex>$(mathcal{LOOP}-mathcal{LC} 2.0)$</tex> by incorporating a set aggregator module to handle uncertain sample sets of varying sizes and complexities. Our results verify the feasibility of our near-optimal solutions for joint chance-constrained power dispatch scenarios. Additionally, our feasibility guarantees increase the transparency and interpretability of our method, which is essential for operators to trust the outcomes. We showcase the effectiveness of our model in solving the stochastic energy management problem of Virtual Power Plants (VPPs). Our theoretical analysis, supported by empirical evidence, reveals strong flexibility in parameter tuning, adaptability to diverse datasets, and significantly improved computational speed.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"11 3","pages":"1060-1069"},"PeriodicalIF":6.9,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10899781","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144243744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The partial discharge occurring in the weak part of the insulation of a converter transformer results in the formation of a large number of bubbles in the insulating oil. The migration, deformation, and other dynamic behaviors of bubbles in the region of a strong electric field can cause them to easily accumulate into “small bridges” of impurities that can lead to breakdown of the oil gap. The authors of this study experimentally investigate and discuss the mechanisms of migration and deformation of bubbles in oil during partial discharge under composite AC/DC voltage to clarify their dynamic behaviors. The influence of the initial position of the bubbles on their trajectory of migration and velocity as well as the morphological changes occurring in them are analyzed using numerical simulations. The results show that the bubbles move away from the strong electric field due to the action of the dielectrophoretic force. The interface of the bubbles is longitudinally stretched under the action of the electrostrictive force and the vertical component of the drag force and gradually recovers to assume a spherical shape under the influence of surface tension and the horizontal component of the drag force.
{"title":"Investigating the Dynamic Behavior of Bubbles in Oil During Partial Discharge","authors":"Hongbin Wu;Hongshun Liu;Yifan Wang;Pengfei Lu;Luyao Liu;Hanliang Lin;Dongxin He;Qingmin Li;Qingquan Li;Weijiang Chen","doi":"10.17775/CSEEJPES.2023.07060","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.07060","url":null,"abstract":"The partial discharge occurring in the weak part of the insulation of a converter transformer results in the formation of a large number of bubbles in the insulating oil. The migration, deformation, and other dynamic behaviors of bubbles in the region of a strong electric field can cause them to easily accumulate into “small bridges” of impurities that can lead to breakdown of the oil gap. The authors of this study experimentally investigate and discuss the mechanisms of migration and deformation of bubbles in oil during partial discharge under composite AC/DC voltage to clarify their dynamic behaviors. The influence of the initial position of the bubbles on their trajectory of migration and velocity as well as the morphological changes occurring in them are analyzed using numerical simulations. The results show that the bubbles move away from the strong electric field due to the action of the dielectrophoretic force. The interface of the bubbles is longitudinally stretched under the action of the electrostrictive force and the vertical component of the drag force and gradually recovers to assume a spherical shape under the influence of surface tension and the horizontal component of the drag force.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"12 1","pages":"547-556"},"PeriodicalIF":5.9,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10899800","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146147681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The integration of blockchain technology with energy community trading represents a promising frontier in the energy sector, offering innovative solutions to challenges in energy trading and management. This review conducts a systematic investigation of the potential benefits, applications and challenges of blockchain in facilitating multi-level energy trading for energy communities. Firstly, the background information of the blockchain and Internet of Things (IoT) is provided, along with an elucidation of their integration architecture for energy communities. Building on this foundation, the applications of blockchain in transactive energy communities are analyzed from three perspectives: community-level energy trading, regional-level energy trading, and grid-level energy trading. Following that, the currently known projects and pilots on blockchain-based trans active energy are comprehensively summarized. Finally, key challenges in implementing blockchain-based energy trading for local energy communities are discussed, providing guidance for future research.
{"title":"Exploring the Potential of IoT-Blockchain Integration Technology for Energy Community Trading: Opportunities, Benefits, and Challenges","authors":"Wenhu Tang;Xuehua Xie;Yunlin Huang;Tong Qian;Weiwei Li;Xiuzhang Li;Zhao Xu","doi":"10.17775/CSEEJPES.2024.02160","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2024.02160","url":null,"abstract":"The integration of blockchain technology with energy community trading represents a promising frontier in the energy sector, offering innovative solutions to challenges in energy trading and management. This review conducts a systematic investigation of the potential benefits, applications and challenges of blockchain in facilitating multi-level energy trading for energy communities. Firstly, the background information of the blockchain and Internet of Things (IoT) is provided, along with an elucidation of their integration architecture for energy communities. Building on this foundation, the applications of blockchain in transactive energy communities are analyzed from three perspectives: community-level energy trading, regional-level energy trading, and grid-level energy trading. Following that, the currently known projects and pilots on blockchain-based trans active energy are comprehensively summarized. Finally, key challenges in implementing blockchain-based energy trading for local energy communities are discussed, providing guidance for future research.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"11 2","pages":"521-537"},"PeriodicalIF":6.9,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10899788","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143860863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-21DOI: 10.17775/CSEEJPES.2024.06310
Hanchi Zhang;Hongyang Zhou;Filipe Faria da Silva;Claus Leth Bak
An increasing number of large-scale renewable plants are generating abundant electricity. As power-to-gas and power-to-x technologies become promising ways to utilize surplus electricity to enhance the flexibility of energy systems, an innovative gas-electricity integrated transmission system (GEITS) to co-transmit electricity and hydrogen or other gas products is proposed, with the foreseeable advantages of compact structure, lower installation cost, and larger energy capacity. This paper investigates the feasibility of GEITS, suggests a design guideline, and gives the operation technical parameters of GEITS in different application scenarios. The dimensions and operating pressures of GEITS benchmark natural gas pipelines and then the nominal voltages of GEITS are calculated based on the electrical strength of high-pressure hydrogen. The nominal ampacities of GEITS are evaluated by temperature-rising simulations, which are larger than those of other transmission lines. Furthermore, high-pressure flowing hydrogen acting as an electrical insulator is a novel topic, and it is investigated via experimental validation on a scale model. Although the effect of 0.4 m/s flowing hydrogen on discharge characteristics has not been observed compared to static hydrogen, the discharge is impaired in 2.4 m/s flowing nitrogen. Future works will investigate the electrical strength of high-pressure long-distance hydrogen gaps under lightning impulse tests and the discharge phenomenon in higher flowing-velocity hydrogen. Methane and methane blended with hydrogen with higher insulation performance can increase the nominal voltages.
{"title":"Feasibility Analysis and Design of Gas-Electricity Integrated Transmission System","authors":"Hanchi Zhang;Hongyang Zhou;Filipe Faria da Silva;Claus Leth Bak","doi":"10.17775/CSEEJPES.2024.06310","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2024.06310","url":null,"abstract":"An increasing number of large-scale renewable plants are generating abundant electricity. As power-to-gas and power-to-x technologies become promising ways to utilize surplus electricity to enhance the flexibility of energy systems, an innovative gas-electricity integrated transmission system (GEITS) to co-transmit electricity and hydrogen or other gas products is proposed, with the foreseeable advantages of compact structure, lower installation cost, and larger energy capacity. This paper investigates the feasibility of GEITS, suggests a design guideline, and gives the operation technical parameters of GEITS in different application scenarios. The dimensions and operating pressures of GEITS benchmark natural gas pipelines and then the nominal voltages of GEITS are calculated based on the electrical strength of high-pressure hydrogen. The nominal ampacities of GEITS are evaluated by temperature-rising simulations, which are larger than those of other transmission lines. Furthermore, high-pressure flowing hydrogen acting as an electrical insulator is a novel topic, and it is investigated via experimental validation on a scale model. Although the effect of 0.4 m/s flowing hydrogen on discharge characteristics has not been observed compared to static hydrogen, the discharge is impaired in 2.4 m/s flowing nitrogen. Future works will investigate the electrical strength of high-pressure long-distance hydrogen gaps under lightning impulse tests and the discharge phenomenon in higher flowing-velocity hydrogen. Methane and methane blended with hydrogen with higher insulation performance can increase the nominal voltages.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"11 2","pages":"595-606"},"PeriodicalIF":6.9,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10899793","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143860948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the field of power systems, insulating polymers have been found to have extensive applications due to their outstanding properties. However, these materials are susceptible to defects arising from various factors during production and operation, which may progress and potentially lead to safety incidents. This paper comprehensively reviews non-destructive testing (NDT) techniques for insulating polymers. Based on the physical principles underlying these methods, they are categorized into electrical testing methods, non-electrical passive testing methods, and non-electrical active testing methods. The paper offers a retrospective assessment of the applications of these methods in insulating polymers. Finally, evaluation of the applicability, advantages, and limitations of these diverse methods is systematically conducted, aiming to facilitate the targeted selection of the optimal NDT method in engineering applications.
{"title":"Review of Non-Destructive Testing Methods for Defects in Insulating Polymers","authors":"Liming Wang;Yanxin Tu;Bin Cao;Yuhao Liu;Hongwei Mei;Lishuai Liu;Fanghui Yin","doi":"10.17775/CSEEJPES.2023.08020","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.08020","url":null,"abstract":"In the field of power systems, insulating polymers have been found to have extensive applications due to their outstanding properties. However, these materials are susceptible to defects arising from various factors during production and operation, which may progress and potentially lead to safety incidents. This paper comprehensively reviews non-destructive testing (NDT) techniques for insulating polymers. Based on the physical principles underlying these methods, they are categorized into electrical testing methods, non-electrical passive testing methods, and non-electrical active testing methods. The paper offers a retrospective assessment of the applications of these methods in insulating polymers. Finally, evaluation of the applicability, advantages, and limitations of these diverse methods is systematically conducted, aiming to facilitate the targeted selection of the optimal NDT method in engineering applications.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"11 3","pages":"1380-1397"},"PeriodicalIF":6.9,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10838230","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144243860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Large-scale renewable energy transmission via the voltage source converter (VSC) based high-voltage direct current (HVDC) is a crucial development direction for constructing a new-typed power system in China. However, renewable energy is characterized by volatility, intermittency, and randomness. When the sending-end modular multilevel converter (MMC) cannot adapt to the rapid fluctuations in renewable energy output, its energy balance will be disrupted by the active power difference between the AC and DC sides, causing issues such as wideband oscillations and exacerbated circulating currents. To solve the problem mentioned above, a novel energy balance-based control method for MMCs connected to wind farms is proposed in this paper, enabling the MM C to effectively adapt to fluctuations in renewable energy output and naturally maintain circulating current at a relatively low level. Firstly, the evolution principle illustrating topology decomposition and reconfiguration of the MMC is revealed. Secondly, the control method for AC internal voltage is proposed, which combines the energy balance between the half MMCs and voltage amplitude support. Thirdly, the DC internal voltage is defined, and its control method is proposed based on the MMC's overall energy balance. Then, independent control of each bridge arm is achieved by integrating the energy balance of the bridge arms with both the AC and DC internal voltages. Finally, an electromagnetic transient simulation model is built with PSCADIEMTDC, and the efficacy and practicality of the proposed method are demonstrated through extensive simulation experiments.
{"title":"Novel Control Method for the MMC Connected to Wind Farms","authors":"Xiangyu Pei;Caoyang Jia;Feng Ji;Hui Pang;Guangfu Tang","doi":"10.17775/CSEEJPES.2024.03920","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2024.03920","url":null,"abstract":"Large-scale renewable energy transmission via the voltage source converter (VSC) based high-voltage direct current (HVDC) is a crucial development direction for constructing a new-typed power system in China. However, renewable energy is characterized by volatility, intermittency, and randomness. When the sending-end modular multilevel converter (MMC) cannot adapt to the rapid fluctuations in renewable energy output, its energy balance will be disrupted by the active power difference between the AC and DC sides, causing issues such as wideband oscillations and exacerbated circulating currents. To solve the problem mentioned above, a novel energy balance-based control method for MMCs connected to wind farms is proposed in this paper, enabling the MM C to effectively adapt to fluctuations in renewable energy output and naturally maintain circulating current at a relatively low level. Firstly, the evolution principle illustrating topology decomposition and reconfiguration of the MMC is revealed. Secondly, the control method for AC internal voltage is proposed, which combines the energy balance between the half MMCs and voltage amplitude support. Thirdly, the DC internal voltage is defined, and its control method is proposed based on the MMC's overall energy balance. Then, independent control of each bridge arm is achieved by integrating the energy balance of the bridge arms with both the AC and DC internal voltages. Finally, an electromagnetic transient simulation model is built with PSCADIEMTDC, and the efficacy and practicality of the proposed method are demonstrated through extensive simulation experiments.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"11 2","pages":"481-489"},"PeriodicalIF":6.9,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10838244","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143860891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-10DOI: 10.17775/CSEEJPES.2024.01180
Yuqing Lin;Tianhao Wen;Lei Chen;Yang Liu;Q. H. Wu
Part II of this paper presents a reduced-order stability region (ROSR) based method to estimate the full-order stability region (FOSR) of a large-scale power system. First, we introduce the definitions of FOSR and ROSR, followed by a comprehensive theory that reveals the relationships between them. Since the full-order system can be rewritten as a standard two timescale model and the reduced-order system is regarded as the slow subsystem of it, the proposed theory is derived based on the idea of singular perturbation. With rigorous mathematical proof, the properties of FOSR and ROSR are revealed. Moreover, a modified Energy Augmented Dynamic (EAD) algorithm and a constrained equidistant projection (CEP) approach are employed to estimate the ROSR and FOSR, respectively. The modified EAD algorithm and CEP form a so-called reduced-order stability region mapping (ROSRM) method. Finally, the proposed ROSRM method is applied to the IEEE 10-machine-39-bus power system, and simulation studies confirm its superiority to the traditional energy function method in terms of computational speed and reliability of results.
{"title":"Estimating Transient Stability Regions of Large-Scale Power Systems Part II: Reduced-Order Stability Region with Computational Efficiency","authors":"Yuqing Lin;Tianhao Wen;Lei Chen;Yang Liu;Q. H. Wu","doi":"10.17775/CSEEJPES.2024.01180","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2024.01180","url":null,"abstract":"Part II of this paper presents a reduced-order stability region (ROSR) based method to estimate the full-order stability region (FOSR) of a large-scale power system. First, we introduce the definitions of FOSR and ROSR, followed by a comprehensive theory that reveals the relationships between them. Since the full-order system can be rewritten as a standard two timescale model and the reduced-order system is regarded as the slow subsystem of it, the proposed theory is derived based on the idea of singular perturbation. With rigorous mathematical proof, the properties of FOSR and ROSR are revealed. Moreover, a modified Energy Augmented Dynamic (EAD) algorithm and a constrained equidistant projection (CEP) approach are employed to estimate the ROSR and FOSR, respectively. The modified EAD algorithm and CEP form a so-called reduced-order stability region mapping (ROSRM) method. Finally, the proposed ROSRM method is applied to the IEEE 10-machine-39-bus power system, and simulation studies confirm its superiority to the traditional energy function method in terms of computational speed and reliability of results.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"11 1","pages":"38-50"},"PeriodicalIF":6.9,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10838245","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143430346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-10DOI: 10.17775/CSEEJPES.2023.06350
Guoqing Li;Yuheng Song;Jing Bian;Yanxu Wang;Kefei Yan;Menghan Li
Given the wide application of DC grids, the protection equipment of power grids must be improved during the fault period. This study proposes an integrated multiport flexible voltage clamp circuit breaker with a DC chopper acting on the receiving end converter to solve the DC short circuit fault and surplus power because of AC low-voltage fault; it has a modular design. As a DC circuit breaker, the device utilizes the voltage-clamping principle and thyristor semi-control to remove faults. As the fault current increases, the branch circuit outputs different voltage levels by selecting different gears, thereby controlling the voltage-clamping effect. This device can distinguish between different fault types to prevent secondary shocks in the system. As a DC chopper, the voltage at both ends of the energy dissipation resistor is varied by switching submodules, consuming surplus power to complete AC low-voltage faults and minimizing the impact of low-voltage faults on the system's transmission capacity. Finally, the effectiveness and applicability of the equipment are verified using wind turbines connected to a flexible DC transmission three-terminal power grid model in PSCAD/EMTDC, and two fault simulation types are analyzed. A comparison of the electrical quantities (fault current, system voltage and branch voltage) of the proposed circuit breaker with other similar equipment shows that due to the efficiency of the proposed equipment, the peak fault current is reduced by at least 35.8%. The required voltage stress of key power electronic equipment is reduced by at least 71.5%. Therefore, the equipment ensures that the per-unit voltage of the DC system does not exceed 1.05 during AC fault crossing.
{"title":"Integrated Multiport Flexible Voltage Clamp Circuit Breaker with DC Chopper Applied to MMC-HVDC System","authors":"Guoqing Li;Yuheng Song;Jing Bian;Yanxu Wang;Kefei Yan;Menghan Li","doi":"10.17775/CSEEJPES.2023.06350","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.06350","url":null,"abstract":"Given the wide application of DC grids, the protection equipment of power grids must be improved during the fault period. This study proposes an integrated multiport flexible voltage clamp circuit breaker with a DC chopper acting on the receiving end converter to solve the DC short circuit fault and surplus power because of AC low-voltage fault; it has a modular design. As a DC circuit breaker, the device utilizes the voltage-clamping principle and thyristor semi-control to remove faults. As the fault current increases, the branch circuit outputs different voltage levels by selecting different gears, thereby controlling the voltage-clamping effect. This device can distinguish between different fault types to prevent secondary shocks in the system. As a DC chopper, the voltage at both ends of the energy dissipation resistor is varied by switching submodules, consuming surplus power to complete AC low-voltage faults and minimizing the impact of low-voltage faults on the system's transmission capacity. Finally, the effectiveness and applicability of the equipment are verified using wind turbines connected to a flexible DC transmission three-terminal power grid model in PSCAD/EMTDC, and two fault simulation types are analyzed. A comparison of the electrical quantities (fault current, system voltage and branch voltage) of the proposed circuit breaker with other similar equipment shows that due to the efficiency of the proposed equipment, the peak fault current is reduced by at least 35.8%. The required voltage stress of key power electronic equipment is reduced by at least 71.5%. Therefore, the equipment ensures that the per-unit voltage of the DC system does not exceed 1.05 during AC fault crossing.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"12 1","pages":"352-365"},"PeriodicalIF":5.9,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10838269","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146147709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-10DOI: 10.17775/CSEEJPES.2024.00240
Yi Wang;Goran Strbac
Large renewable penetration has been witnessed in power systems, resulting in reduced level of system inertia and increasing requirements for frequency response services. There have been plenty of studies developing frequency-constrained operation models for power system security. However, most existing literature only focuses on operational level rather than planning level. To fill this gap, this paper proposes a novel planning model for the optimal sizing problem of integrated power and gas systems, capturing both under and over frequency security requirements. A detailed unit commitment setup considering different ramping rates is incorporated into the planning model to accurately represent the scheduling behavior of each individual generator and accurate inertia calculation. The power importing and exporting behaviors of interconnectors are considered, which can influence the largest loss of generation and demand, accounting for under and over frequency security, respectively. Additionally, a deep learning-based clustering method featured by concurrent and integrated learning is introduced in the planning model to effectively generate representative days. Case studies have been conducted on a coupled 6-bus power and 7-node gas system as well as a 14-bus power and 14-node gas system to verify the effectiveness of the proposed planning model in accurate clustering performance and realistic investment decision making.
{"title":"A Planning Model for Optimal Sizing of Integrated Power and Gas Systems Capturing Frequency Security","authors":"Yi Wang;Goran Strbac","doi":"10.17775/CSEEJPES.2024.00240","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2024.00240","url":null,"abstract":"Large renewable penetration has been witnessed in power systems, resulting in reduced level of system inertia and increasing requirements for frequency response services. There have been plenty of studies developing frequency-constrained operation models for power system security. However, most existing literature only focuses on operational level rather than planning level. To fill this gap, this paper proposes a novel planning model for the optimal sizing problem of integrated power and gas systems, capturing both under and over frequency security requirements. A detailed unit commitment setup considering different ramping rates is incorporated into the planning model to accurately represent the scheduling behavior of each individual generator and accurate inertia calculation. The power importing and exporting behaviors of interconnectors are considered, which can influence the largest loss of generation and demand, accounting for under and over frequency security, respectively. Additionally, a deep learning-based clustering method featured by concurrent and integrated learning is introduced in the planning model to effectively generate representative days. Case studies have been conducted on a coupled 6-bus power and 7-node gas system as well as a 14-bus power and 14-node gas system to verify the effectiveness of the proposed planning model in accurate clustering performance and realistic investment decision making.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"11 2","pages":"580-594"},"PeriodicalIF":6.9,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10838252","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143860825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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