Power-to-hydrogen by electrolysis (PtHE) is a promising technology in the carbon-neutral evolution of energy. PtHE not only contributes to renewable energy integration but also accelerates decarbonization in industrial sectors through green hydrogen production. This paper presents a comprehensive review of PtHE technology. First, technical solutions in PtHE technology are introduced to clarify pros and cons of one another. Besides, the multiphysics coupling and the multi-energy flow are investigated to reveal the insight mechanism during operation of compactly assembled industrial PtHE plants. Then, the development trends of core components in PtHE plants, including electrocatalysts, electrode plates and operation strategy, are reviewed, respectively. Research thrusts needed for PtHE in carbon-neutral transition are also summarized. Finally, three configurations of the PtHE plant in energy system integration are introduced, which can achieve renewable energy integration and efficient energy utilization.
{"title":"Power-to-Hydrogen by Electrolysis in Carbon Neutrality: Technology Overview and Future Development","authors":"Zhiyao Zhong;Jiakun Fang;Kewei Hu;Danji Huang;Xiaomeng Ai;Xiaobo Yang;Jinyu Wen;Yuan Pan;Shijie Cheng","doi":"10.17775/CSEEJPES.2022.08850","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.08850","url":null,"abstract":"Power-to-hydrogen by electrolysis (PtHE) is a promising technology in the carbon-neutral evolution of energy. PtHE not only contributes to renewable energy integration but also accelerates decarbonization in industrial sectors through green hydrogen production. This paper presents a comprehensive review of PtHE technology. First, technical solutions in PtHE technology are introduced to clarify pros and cons of one another. Besides, the multiphysics coupling and the multi-energy flow are investigated to reveal the insight mechanism during operation of compactly assembled industrial PtHE plants. Then, the development trends of core components in PtHE plants, including electrocatalysts, electrode plates and operation strategy, are reviewed, respectively. Research thrusts needed for PtHE in carbon-neutral transition are also summarized. Finally, three configurations of the PtHE plant in energy system integration are introduced, which can achieve renewable energy integration and efficient energy utilization.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7054730/10213441/10165640.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50352010","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 : 2023-06-27DOI: 10.17775/CSEEJPES.2022.09040
Xuewei Wu;Bin Zhang;Mads Pagh Nielsen;Zhe Chen
This paper proposes a neural network based feasible region approximation model of a district heating system (DHS), and it is intended to be used for optimal operation of integrated electricity and heating system (IEHS) considering privacy protection. In this model, a neural network is trained to approximate the feasible region of the DHS operation and then is reformulated as a set of mixed-integer linear constraints. Based on the received approximation models of DHSs and detailed electricity system model, the electricity operator conducts centralized optimization, and then sends specific heating generation plans back to corresponding heating operators. Furthermore, subsequent optimization is formulated for each DHS to obtain detailed operation strategy based on received heating generation plan. In this scheme, optimization of the IEHS could be achieved and privacy protection requirement is satisfied since the feasible region approximation model does not contain detailed system parameters. Case studies conducted on a small-scale system demonstrate accuracy of the proposed strategy and a large-scale system verify its application possibility.
{"title":"Neural Network Based Fea sible Region Approximation Model for Optimal Operation of Integrated Electricity and Heating System","authors":"Xuewei Wu;Bin Zhang;Mads Pagh Nielsen;Zhe Chen","doi":"10.17775/CSEEJPES.2022.09040","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.09040","url":null,"abstract":"This paper proposes a neural network based feasible region approximation model of a district heating system (DHS), and it is intended to be used for optimal operation of integrated electricity and heating system (IEHS) considering privacy protection. In this model, a neural network is trained to approximate the feasible region of the DHS operation and then is reformulated as a set of mixed-integer linear constraints. Based on the received approximation models of DHSs and detailed electricity system model, the electricity operator conducts centralized optimization, and then sends specific heating generation plans back to corresponding heating operators. Furthermore, subsequent optimization is formulated for each DHS to obtain detailed operation strategy based on received heating generation plan. In this scheme, optimization of the IEHS could be achieved and privacy protection requirement is satisfied since the feasible region approximation model does not contain detailed system parameters. Case studies conducted on a small-scale system demonstrate accuracy of the proposed strategy and a large-scale system verify its application possibility.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7054730/10288371/10165682.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50327523","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 : 2023-06-27DOI: 10.17775/CSEEJPES.2022.04620
Wenwen Zhang;Longlong Chen;Xiaoguang Wei;Guangfu Tang;Lei Qi;Chong Gao;Zhiyuan He
Because of its controlled power factor and no commutation failure, current source converter (CSC) made up of reverse-blocking IGCTs (RB-IGCTs) offers broad application prospects in the field of HVDC system. Valve voltage and power operating range as the most important operating characteristics should be paid attention to but they are always contradictory. First, the relationship between valve voltage and modulation index is obtained. In particular, valve voltage of converter under the three typical modulation methods is compared, analyzed, and verified. Second, with the help of the independent control strategy and coordinated control strategy of both ends, power operating ranges of the three modulation methods are comprehensively analyzed and compared. Third, in order to solve power coupling at a low active power, the improved coordination control strategy at both ends in this paper is proposed and the relationships among active power, reactive power, DC current and phase angle difference are given in detail. Finally, a 500 kV/3 kA simulation system was built in PSCAD/EMTDC to obtain comparison results of the key operating characteristics of CSC under different modulation methods and the converter can realize unity power operation under random active power after adopting the improved coordinated control strategy, and DC current does not decrease to zero, verifying effectiveness of the coordinated control strategy.
{"title":"Comparisons and Improvements of Key Operating Characteristics of Current Source Converter Applied in HVDC System","authors":"Wenwen Zhang;Longlong Chen;Xiaoguang Wei;Guangfu Tang;Lei Qi;Chong Gao;Zhiyuan He","doi":"10.17775/CSEEJPES.2022.04620","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.04620","url":null,"abstract":"Because of its controlled power factor and no commutation failure, current source converter (CSC) made up of reverse-blocking IGCTs (RB-IGCTs) offers broad application prospects in the field of HVDC system. Valve voltage and power operating range as the most important operating characteristics should be paid attention to but they are always contradictory. First, the relationship between valve voltage and modulation index is obtained. In particular, valve voltage of converter under the three typical modulation methods is compared, analyzed, and verified. Second, with the help of the independent control strategy and coordinated control strategy of both ends, power operating ranges of the three modulation methods are comprehensively analyzed and compared. Third, in order to solve power coupling at a low active power, the improved coordination control strategy at both ends in this paper is proposed and the relationships among active power, reactive power, DC current and phase angle difference are given in detail. Finally, a 500 kV/3 kA simulation system was built in PSCAD/EMTDC to obtain comparison results of the key operating characteristics of CSC under different modulation methods and the converter can realize unity power operation under random active power after adopting the improved coordinated control strategy, and DC current does not decrease to zero, verifying effectiveness of the coordinated control strategy.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7054730/10288371/10165668.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50327608","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 : 2023-06-27DOI: 10.17775/CSEEJPES.2022.00720
Danman Wu;Wei Wei;Jiayu Bai;Shengwei Mei
With growing public awareness of decarbonization and increasing penetration of renewable generation, energy storage is in great need. Advanced adiabatic compressed air energy storage (AA-CAES) is capable of producing power, heating and cooling, making it an ideal choice of an environmental-friendly energy hub. This paper proposes an energy and exergy efficiency analysis for an AA-CAES based trigeneration energy hub. Impact of power storage and heat load supply rates on energy output efficiency and total exergy losses are analyzed. Based on the proposed model, optimal configuration of power storage and heat load supply rates can be determined under different purposes. According to basic thermodynamic principles, the proposed method calculates trigeneration capability estimates considering energy grade difference and multi-dimension energy distribution, which can demonstrate more energy conversion properties of the system. Case studies verify that the proposed method can provide various characteristic analyses for an energy hub and its application in actual systems proves computation accuracy. Integrative energy efficiency is improved compared to pursuing maximum electricity-to-electricity efficiency.
{"title":"Energy and Exergy Efficiency Analysis of Advanced Adiabatic Compressed Air Energy Storage Based Trigeneration Energy Hub","authors":"Danman Wu;Wei Wei;Jiayu Bai;Shengwei Mei","doi":"10.17775/CSEEJPES.2022.00720","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.00720","url":null,"abstract":"With growing public awareness of decarbonization and increasing penetration of renewable generation, energy storage is in great need. Advanced adiabatic compressed air energy storage (AA-CAES) is capable of producing power, heating and cooling, making it an ideal choice of an environmental-friendly energy hub. This paper proposes an energy and exergy efficiency analysis for an AA-CAES based trigeneration energy hub. Impact of power storage and heat load supply rates on energy output efficiency and total exergy losses are analyzed. Based on the proposed model, optimal configuration of power storage and heat load supply rates can be determined under different purposes. According to basic thermodynamic principles, the proposed method calculates trigeneration capability estimates considering energy grade difference and multi-dimension energy distribution, which can demonstrate more energy conversion properties of the system. Case studies verify that the proposed method can provide various characteristic analyses for an energy hub and its application in actual systems proves computation accuracy. Integrative energy efficiency is improved compared to pursuing maximum electricity-to-electricity efficiency.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":null,"pages":null},"PeriodicalIF":7.1,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10165680","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138550341","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}
Power system resilience procurement costs in $N$ - $k$ contingencies have gained more prominence as number of extreme events continues to increase. A chain rule is presented in this paper for extracting resilience procurement costs from a fully decomposed locational marginal price (LMP) model. First, power transfer distribution factor (PTDF) matrices with AC power flow (i.e., AC-PTDF) are determined. AC-PTDF and AC-LODF (line outage distribution factor) equations are derived for $N$ - $k$ contingencies and a fully decomposed LMP model is developed where generation and transmission security components are established for specific contingencies. Furthermore, resilience procurement costs can be measured at different buses for the proposed security components. Impact of $N$ - $k$ contingencies on resilience procurement costs at specific buses can be determined as proposed security components will gain more insight for resilience procurement in power systems. The modified IEEE 6-bus and 118-bus systems are adopted to verify effectiveness of the proposed resilience procurement method.
{"title":"Chain Rule for Extracting Resilience Procurement Costs from Locational Marginal Prices","authors":"Yifei Wang;Tong Zhu;Tiancong Chen;Mohammad Shahidehpour;Qingshan Xu","doi":"10.17775/CSEEJPES.2022.04830","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.04830","url":null,"abstract":"Power system resilience procurement costs in \u0000<tex>$N$</tex>\u0000 - \u0000<tex>$k$</tex>\u0000 contingencies have gained more prominence as number of extreme events continues to increase. A chain rule is presented in this paper for extracting resilience procurement costs from a fully decomposed locational marginal price (LMP) model. First, power transfer distribution factor (PTDF) matrices with AC power flow (i.e., AC-PTDF) are determined. AC-PTDF and AC-LODF (line outage distribution factor) equations are derived for \u0000<tex>$N$</tex>\u0000 - \u0000<tex>$k$</tex>\u0000 contingencies and a fully decomposed LMP model is developed where generation and transmission security components are established for specific contingencies. Furthermore, resilience procurement costs can be measured at different buses for the proposed security components. Impact of \u0000<tex>$N$</tex>\u0000 - \u0000<tex>$k$</tex>\u0000 contingencies on resilience procurement costs at specific buses can be determined as proposed security components will gain more insight for resilience procurement in power systems. The modified IEEE 6-bus and 118-bus systems are adopted to verify effectiveness of the proposed resilience procurement method.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":null,"pages":null},"PeriodicalIF":7.1,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10165669","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141304074","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 : 2023-06-27DOI: 10.17775/CSEEJPES.2022.01980
Qing Fu;Yishan Chen;Yixing Su;Yang Hang
To reduce switch numbers and voltage stress in semiconductor devices, this paper proposes a novel single-phase converter combined Active Power Factor Correction (APFC) with switched-capacitor converter. In addition, dynamic voltage regulation and voltage gain are improved by integrating the boost converter and switching capacitor cells. The interstage bulk capacitor is no longer needed. An average current control with redistribution of voltage in cells is proposed to obtain voltage lift ability of the switching capacitor cells and maintain a high-power factor. To study and verify the proposed converter preliminarily, theoretical analysis and simulation are presented in the paper. Furthermore, a 500 W prototype with two different configurations is built for experimental verification. The proposed converter can reach 95.62% of maximum efficiency, 0.99 of power factor, and 3.55% of THD with 600 V output voltage, simultaneously.
为了减少半导体器件中的开关数量和电压应力，本文提出了一种新型单相转换器，将有源功率因数校正（APFC）与开关电容器转换器相结合。此外，通过集成升压转换器和开关电容器单元，动态电压调节和电压增益也得到了改善。不再需要级间大容量电容器。为了获得开关电容器单元的电压提升能力并保持高功率因数，提出了一种在单元中重新分配电压的平均电流控制方法。为了初步研究和验证所提出的转换器，本文进行了理论分析和仿真。此外，还制作了一个具有两种不同配置的 500 W 原型进行实验验证。所提出的转换器在 600 V 输出电压下可同时达到 95.62% 的最高效率、0.99 的功率因数和 3.55% 的总谐波失真。
{"title":"Composite Converter Combined APFC with Switched-capacitor Converter","authors":"Qing Fu;Yishan Chen;Yixing Su;Yang Hang","doi":"10.17775/CSEEJPES.2022.01980","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.01980","url":null,"abstract":"To reduce switch numbers and voltage stress in semiconductor devices, this paper proposes a novel single-phase converter combined Active Power Factor Correction (APFC) with switched-capacitor converter. In addition, dynamic voltage regulation and voltage gain are improved by integrating the boost converter and switching capacitor cells. The interstage bulk capacitor is no longer needed. An average current control with redistribution of voltage in cells is proposed to obtain voltage lift ability of the switching capacitor cells and maintain a high-power factor. To study and verify the proposed converter preliminarily, theoretical analysis and simulation are presented in the paper. Furthermore, a 500 W prototype with two different configurations is built for experimental verification. The proposed converter can reach 95.62% of maximum efficiency, 0.99 of power factor, and 3.55% of THD with 600 V output voltage, simultaneously.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":null,"pages":null},"PeriodicalIF":7.1,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10165652","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139695050","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 : 2023-06-27DOI: 10.17775/CSEEJPES.2022.03890
Xiangyong Feng;Shunjiang Lin;Yutao Liang;Guansheng Fan;Mingbo Liu
With more and more offshore wind power being increasingly connected to power grids, fluctuations in offshore wind speeds result in risks of high operation costs. To mitigate this problem, a risk-averse stochastic economic dispatch (ED) model of power system with multiple offshore wind farms (OWFs) is proposed in this paper. In this model, a novel GlueVaR method is used to measure the tail risk of the probability distribution of operation cost. The weighted sum of the expected operation cost and the GlueVaR is used to reflect the risk of operation cost, which can consider different risk requirements including risk aversion and risk neutrality flexibly by adjusting parameters. Then, a risk-averse approximate dynamic programming (ADP) algorithm is designed for solving the proposed model, in which multi-period ED problem is decoupled into a series of single-period ED problems. Besides, GlueVaR is introduced into the approximate value function training process for risk aversion. Finally, a distributed and risk-averse ADP algorithm is constructed based on the alternating direction method of multipliers, which can further decouple single-period ED between transmission system and multiple OWFs for ensuring information privacy. Case studies on the modified IEEE 39-bus system with an OWF and an actual provincial power system with four OWFs demonstrate correctness and efficiency of the proposed model and algorithm.
{"title":"Distributed and Risk-Averse ADP Algorithm for Stochastic Economic Dispatch of Power System with Multiple Offshore Wind Farms","authors":"Xiangyong Feng;Shunjiang Lin;Yutao Liang;Guansheng Fan;Mingbo Liu","doi":"10.17775/CSEEJPES.2022.03890","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.03890","url":null,"abstract":"With more and more offshore wind power being increasingly connected to power grids, fluctuations in offshore wind speeds result in risks of high operation costs. To mitigate this problem, a risk-averse stochastic economic dispatch (ED) model of power system with multiple offshore wind farms (OWFs) is proposed in this paper. In this model, a novel GlueVaR method is used to measure the tail risk of the probability distribution of operation cost. The weighted sum of the expected operation cost and the GlueVaR is used to reflect the risk of operation cost, which can consider different risk requirements including risk aversion and risk neutrality flexibly by adjusting parameters. Then, a risk-averse approximate dynamic programming (ADP) algorithm is designed for solving the proposed model, in which multi-period ED problem is decoupled into a series of single-period ED problems. Besides, GlueVaR is introduced into the approximate value function training process for risk aversion. Finally, a distributed and risk-averse ADP algorithm is constructed based on the alternating direction method of multipliers, which can further decouple single-period ED between transmission system and multiple OWFs for ensuring information privacy. Case studies on the modified IEEE 39-bus system with an OWF and an actual provincial power system with four OWFs demonstrate correctness and efficiency of the proposed model and algorithm.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10165662","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142397353","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 : 2023-04-20DOI: 10.17775/CSEEJPES.2022.07110
Qing-Hua Wu;Yuqing Lin;Chao Hong;Yinsheng Su;Tianhao Wen;Yang Liu
Transient stability analysis is a key problem in power system operation and planning. This paper aims at giving a comprehensive review on the modeling ideas and analysis methods for transient stability of large-scale power systems. For model construction, the general modeling of traditional power systems and special modeling for renewable generations and high-voltage direct-current transmissions are introduced. For transient stability analysis, Lyapunov based methods and non-Lyapunov based methods are thoroughly reviewed. In Lyapunov based methods, we focus on the energy function method, the sum-of-squares based method and decentralized stability analysis methods. Meanwhile, in non-Lyapunov based methods, the time-domain simulation, extended equal-area criterion and data-driven based methods are considered. The basic working principles, features and recent research progresses of all the above-mentioned methods are described in detail. In particular, their performances on several aspects, such as computational speed, conservativeness of stability region estimation or stability margin calculation, and adaptability to various types of system models, are mentioned. Finally, a brief discussion of potential directions for future research on transient stability analysis of large-scale power systems is included.
{"title":"Transient Stability Analysis of Large-scale Power Systems: A Survey","authors":"Qing-Hua Wu;Yuqing Lin;Chao Hong;Yinsheng Su;Tianhao Wen;Yang Liu","doi":"10.17775/CSEEJPES.2022.07110","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.07110","url":null,"abstract":"Transient stability analysis is a key problem in power system operation and planning. This paper aims at giving a comprehensive review on the modeling ideas and analysis methods for transient stability of large-scale power systems. For model construction, the general modeling of traditional power systems and special modeling for renewable generations and high-voltage direct-current transmissions are introduced. For transient stability analysis, Lyapunov based methods and non-Lyapunov based methods are thoroughly reviewed. In Lyapunov based methods, we focus on the energy function method, the sum-of-squares based method and decentralized stability analysis methods. Meanwhile, in non-Lyapunov based methods, the time-domain simulation, extended equal-area criterion and data-driven based methods are considered. The basic working principles, features and recent research progresses of all the above-mentioned methods are described in detail. In particular, their performances on several aspects, such as computational speed, conservativeness of stability region estimation or stability margin calculation, and adaptability to various types of system models, are mentioned. Finally, a brief discussion of potential directions for future research on transient stability analysis of large-scale power systems is included.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7054730/10213441/10106217.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50351987","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 : 2023-04-20DOI: 10.17775/CSEEJPES.2022.07240
Mostafa Goodarzi;Qifeng Li
This paper investigates a novel engineering problem, i.e., security-constrained multi-period operation of micro energy-water nexuses. This problem is computationally challenging because of its high nonlinearity, nonconvexity, and large dimension. We propose a two-stage iterative algorithm employing a hybrid physics and data-driven contingency filtering (CF) method and convexification to solve it. The convexified master problem is solved in the first stage by considering the base case operation and binding contingencies set (BCS). The second stage updates BCS using physics-based data-driven methods, which include dynamic and filtered data sets. This method is faster than existing CF methods because it relies on offline optimization problems and contains a limited number of online optimization problems. We validate effectiveness of the proposed method using two different case studies: the IEEE 13-bus power system with the EPANET 8-node water system and the IEEE 33-bus power system with the Otsfeld 13-node water system.
{"title":"Hybrid Physics and Data-driven Contingency Filtering for Security Operation of Micro Energy-water Nexus","authors":"Mostafa Goodarzi;Qifeng Li","doi":"10.17775/CSEEJPES.2022.07240","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.07240","url":null,"abstract":"This paper investigates a novel engineering problem, i.e., security-constrained multi-period operation of micro energy-water nexuses. This problem is computationally challenging because of its high nonlinearity, nonconvexity, and large dimension. We propose a two-stage iterative algorithm employing a hybrid physics and data-driven contingency filtering (CF) method and convexification to solve it. The convexified master problem is solved in the first stage by considering the base case operation and binding contingencies set (BCS). The second stage updates BCS using physics-based data-driven methods, which include dynamic and filtered data sets. This method is faster than existing CF methods because it relies on offline optimization problems and contains a limited number of online optimization problems. We validate effectiveness of the proposed method using two different case studies: the IEEE 13-bus power system with the EPANET 8-node water system and the IEEE 33-bus power system with the Otsfeld 13-node water system.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7054730/10288371/10106218.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50327522","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 : 2023-04-20DOI: 10.17775/CSEEJPES.2022.07710
Junjie Rong;Ming Zhou;Gengyin Li
Global climate changes have created intense natural disasters such as typhoons, which may cause serious damage to power systems. As an emerging renewable energy resource, off-shore wind power has great potential in power systems resilience enhancement with its rapid start-up capability and development of anti-typhoon technology. In this paper, a restoration strategy by offshore wind power considering risk is proposed to speed up the restoration process and enhance system resilience. Specifically, a failure risk model of an individual wind turbine and then the whole wind farm is built for predicting severe weather's impact, with focus on failure probability. Further, a quantification model of resilience enhancement and risk cost, based on customer interruption cost assessment method, is introduced. Then, a two-stage optimized decision-making model is proposed to solve the scheme of offshore wind power and conventional power units in load restoration process. Case studies are undertaken on a modified IEEE RTS-79 system and results indicate the proposed restoration strategy can shorten duration of restoration and reduce customers' economic losses meanwhile ensuring system safety.
{"title":"Resilience-Oriented Restoration Strategy by Offshore Wind Power Considering Risk","authors":"Junjie Rong;Ming Zhou;Gengyin Li","doi":"10.17775/CSEEJPES.2022.07710","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.07710","url":null,"abstract":"Global climate changes have created intense natural disasters such as typhoons, which may cause serious damage to power systems. As an emerging renewable energy resource, off-shore wind power has great potential in power systems resilience enhancement with its rapid start-up capability and development of anti-typhoon technology. In this paper, a restoration strategy by offshore wind power considering risk is proposed to speed up the restoration process and enhance system resilience. Specifically, a failure risk model of an individual wind turbine and then the whole wind farm is built for predicting severe weather's impact, with focus on failure probability. Further, a quantification model of resilience enhancement and risk cost, based on customer interruption cost assessment method, is introduced. Then, a two-stage optimized decision-making model is proposed to solve the scheme of offshore wind power and conventional power units in load restoration process. Case studies are undertaken on a modified IEEE RTS-79 system and results indicate the proposed restoration strategy can shorten duration of restoration and reduce customers' economic losses meanwhile ensuring system safety.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":null,"pages":null},"PeriodicalIF":7.1,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10106210","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138550354","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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