Pub Date : 2024-03-03DOI: 10.17775/CSEEJPES.2022.05990
Chenxi Fan;Kaishun Xiahou;Lei Wang;Q. H. Wu
This paper presents a long short-term memory (LSTM)-based fault detection method to detect the multiple open-circuit switch faults of modular multilevel converter (MMC) systems with full-bridge sub-modules (FB-SMs). Eighteen sensor signals of grid voltages, grid currents and capacitance voltages of MMC for single and multi-switch faults are collected as sampling data. The output signal characteristics of four types of single switch faults of FB-SM, as well as double switch faults in the same and different phases of MMC, are analyzed under the conditions of load variations and control command changes. A multi-layer LSTM network is devised to deeply extract the fault characteristics of MMC under different faults and operation conditions, and a Softmax layer detects the fault types. Simulation results have confirmed that the proposed LSTM-based method has better detection performance compared with three other methods: K-nearest neighbor (KNN), naive bayes (NB) and recurrent neural network (RNN). In addition, it is highly robust to model uncertainties and Gaussian noise. The validity of the proposed method is further demonstrated by experiment studies conducted on a hardware-in-the-loop (HIL) testing platform.
{"title":"Data-Driven Fault Detection of Multiple Open-Circuit Faults for MMC Systems Based on Long Short-Term Memory Networks","authors":"Chenxi Fan;Kaishun Xiahou;Lei Wang;Q. H. Wu","doi":"10.17775/CSEEJPES.2022.05990","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.05990","url":null,"abstract":"This paper presents a long short-term memory (LSTM)-based fault detection method to detect the multiple open-circuit switch faults of modular multilevel converter (MMC) systems with full-bridge sub-modules (FB-SMs). Eighteen sensor signals of grid voltages, grid currents and capacitance voltages of MMC for single and multi-switch faults are collected as sampling data. The output signal characteristics of four types of single switch faults of FB-SM, as well as double switch faults in the same and different phases of MMC, are analyzed under the conditions of load variations and control command changes. A multi-layer LSTM network is devised to deeply extract the fault characteristics of MMC under different faults and operation conditions, and a Softmax layer detects the fault types. Simulation results have confirmed that the proposed LSTM-based method has better detection performance compared with three other methods: K-nearest neighbor (KNN), naive bayes (NB) and recurrent neural network (RNN). In addition, it is highly robust to model uncertainties and Gaussian noise. The validity of the proposed method is further demonstrated by experiment studies conducted on a hardware-in-the-loop (HIL) testing platform.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 4","pages":"1563-1574"},"PeriodicalIF":6.9,"publicationDate":"2024-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10520155","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141966191","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 : 2024-03-03DOI: 10.17775/CSEEJPES.2022.00590
Bo Zhang;Xiong Du;Shangning Tan;Junliang Liu;Haijiao Wang;Yiding Jin
Interaction between the converter and the grid may lead to harmonic oscillations. The impedance-based method is an effective way to deal with the stability issue. In this study, the impedance-based method is used to investigate the small-signal stability of a cascaded 12-pulse line-commutated converter-based high-voltage direct current (LCC-HVDC) transmission system. In the modeling part, the impedance models of the single rectifier and inverter are established respectively with consideration to the effect of frequency coupling, which has improved the accuracy of the models. Based on the models, the AC impedance models of the cascaded LCC-HVDC transmission system are established both on the rectifier and inverter side. In the stability analysis part, the stability of the system is analyzed under different working conditions. The simulation results reveal that the established impedance model can properly represent the stability of this system. The findings of this study can provide a theoretical reference for the stability design and oscillation suppression strategy of LCC-HVDC transmission systems and LCC interconnected systems.
{"title":"Impedance Modeling and Stability Analysis of LCC-HVDC Transmission System","authors":"Bo Zhang;Xiong Du;Shangning Tan;Junliang Liu;Haijiao Wang;Yiding Jin","doi":"10.17775/CSEEJPES.2022.00590","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.00590","url":null,"abstract":"Interaction between the converter and the grid may lead to harmonic oscillations. The impedance-based method is an effective way to deal with the stability issue. In this study, the impedance-based method is used to investigate the small-signal stability of a cascaded 12-pulse line-commutated converter-based high-voltage direct current (LCC-HVDC) transmission system. In the modeling part, the impedance models of the single rectifier and inverter are established respectively with consideration to the effect of frequency coupling, which has improved the accuracy of the models. Based on the models, the AC impedance models of the cascaded LCC-HVDC transmission system are established both on the rectifier and inverter side. In the stability analysis part, the stability of the system is analyzed under different working conditions. The simulation results reveal that the established impedance model can properly represent the stability of this system. The findings of this study can provide a theoretical reference for the stability design and oscillation suppression strategy of LCC-HVDC transmission systems and LCC interconnected systems.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"12 1","pages":"366-376"},"PeriodicalIF":5.9,"publicationDate":"2024-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10520154","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146147710","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 : 2024-03-03DOI: 10.17775/CSEEJPES.2022.07880
Shouqi Jiang;Huanyu Zhao;Guoqing Li;Yechun Xin;Lixin Wang;Weiru Wang
A DC grid based on half-bridge modular multilevel converters (HB-MMC) is a feasible means to realize the friendly grid connection of renewable energy. To solve problems such as the high cost and technical difficulty of DC circuit breakers (DCCB), a coordinated control method for fault current suppression of DC grid connecting wind power is proposed. The key influencing factors of DC fault current are revealed by fault characteristics analysis, and an adaptive current-limiting control method for MMC is proposed, whose parameter selection principles are designed to ensure the safe operation of equipment while achieving effective suppression of fault current. In addition, a novel configuration method of dissipative resistors with the current-limiting function is proposed, which can solve the problem of surplus power in the DC grid and reduce the current stress of converter valves. Based on this, a coordination scheme of dissipative resistors, the adaptive current-limiting control method, and DCCBs are proposed to block fault current, effectively reducing the manufacturing difficulty and cost of DCCB. Finally, a four-terminal DC grid simulation model is built based on the RTLAB OP5600 real-time digital simulation platform, and the effectiveness and feasibility of the proposed methods are verified.
{"title":"Coordinated Suppression Method of Fault Current for DC Grid with Novel Dissipative Resistors Topology","authors":"Shouqi Jiang;Huanyu Zhao;Guoqing Li;Yechun Xin;Lixin Wang;Weiru Wang","doi":"10.17775/CSEEJPES.2022.07880","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.07880","url":null,"abstract":"A DC grid based on half-bridge modular multilevel converters (HB-MMC) is a feasible means to realize the friendly grid connection of renewable energy. To solve problems such as the high cost and technical difficulty of DC circuit breakers (DCCB), a coordinated control method for fault current suppression of DC grid connecting wind power is proposed. The key influencing factors of DC fault current are revealed by fault characteristics analysis, and an adaptive current-limiting control method for MMC is proposed, whose parameter selection principles are designed to ensure the safe operation of equipment while achieving effective suppression of fault current. In addition, a novel configuration method of dissipative resistors with the current-limiting function is proposed, which can solve the problem of surplus power in the DC grid and reduce the current stress of converter valves. Based on this, a coordination scheme of dissipative resistors, the adaptive current-limiting control method, and DCCBs are proposed to block fault current, effectively reducing the manufacturing difficulty and cost of DCCB. Finally, a four-terminal DC grid simulation model is built based on the RTLAB OP5600 real-time digital simulation platform, and the effectiveness and feasibility of the proposed methods are verified.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 6","pages":"2371-2383"},"PeriodicalIF":6.9,"publicationDate":"2024-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10520187","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859145","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 : 2024-03-03DOI: 10.17775/CSEEJPES.2022.08660
Jizhong Zhu;Cong Zeng;Yun Liu;Xuancong Xu
In terms of the multi-area optimal power flow (OPF) problem, the optimized objectives are always a fuel cost function expressed by a second-order polynomial. However, the valve-point loading effect, whose cost curve is a transcendental function formed by the superposition of the sine and polynomial function, will make the objective function non-convex and non-differentiable. Conventional distributed optimization technologies can hardly make a solution directly. Therefore, it is necessary to realize a distributed solution for multi-area OPF from another point of view. In this paper, we constitute a new double-layer optimization mechanism. The proposed distributed meta-heuristic optimization (DMHO) algorithm is put on the top layer to optimize the dispatching of each area, and in each iteration a distributed power flow calculation method is embedded as the bottom layer to minimize the mismatch of power balance. Numerical experiments demonstrate that the proposed approach not only implements a multi-area OPF distributed solution but also accelerates the convergence rate, improves the solution accuracy and enhances the robustness. In addition, a fully decentralized computation experiment is performed in an actual distributed environment to test its practicability and computation efficiency.
{"title":"Double-Layer Optimization Mechanism for Multi-Area OPF Considering Valve-Point Loading Effect","authors":"Jizhong Zhu;Cong Zeng;Yun Liu;Xuancong Xu","doi":"10.17775/CSEEJPES.2022.08660","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.08660","url":null,"abstract":"In terms of the multi-area optimal power flow (OPF) problem, the optimized objectives are always a fuel cost function expressed by a second-order polynomial. However, the valve-point loading effect, whose cost curve is a transcendental function formed by the superposition of the sine and polynomial function, will make the objective function non-convex and non-differentiable. Conventional distributed optimization technologies can hardly make a solution directly. Therefore, it is necessary to realize a distributed solution for multi-area OPF from another point of view. In this paper, we constitute a new double-layer optimization mechanism. The proposed distributed meta-heuristic optimization (DMHO) algorithm is put on the top layer to optimize the dispatching of each area, and in each iteration a distributed power flow calculation method is embedded as the bottom layer to minimize the mismatch of power balance. Numerical experiments demonstrate that the proposed approach not only implements a multi-area OPF distributed solution but also accelerates the convergence rate, improves the solution accuracy and enhances the robustness. In addition, a fully decentralized computation experiment is performed in an actual distributed environment to test its practicability and computation efficiency.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"11 2","pages":"683-691"},"PeriodicalIF":6.9,"publicationDate":"2024-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10520186","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143860894","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}
Highly reliable wind power prediction is feasible and promising for smart grids integrated with large amounts of wind power. However, the strong fluctuation features of wind power make wind power less predictable. This paper proposes a novel wind power prediction approach, incorporating wind power ex-ante and ex-post decomposition and correction. Firstly, the initial wind power during the wind power decomposition stage is decomposed into trend, fluctuation, and residual data, respectively, and the corresponding preliminary prediction models are developed, respectively. Secondly, in the error correction stage, the errors produced by the preliminary prediction model are corrected by persistence methods to compensate for final prediction errors. Moreover, the proposed model's comprehensive deterministic and probabilistic analysis is investigated in depth. Finally, the outcomes of numerical simulations demonstrate that the proposed approach can achieve good performance since it can reduce wind power forecast errors compared to other established deterministic models and uncertainty models.
{"title":"Ex-Ante and Ex-Post Decomposition Strategy for Ultra-Short-Term Wind Power Prediction","authors":"Peng Lu;Zhuo Li;Lin Ye;Ming Pei;Yingying Zheng;Yongning Zhao","doi":"10.17775/CSEEJPES.2022.07000","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.07000","url":null,"abstract":"Highly reliable wind power prediction is feasible and promising for smart grids integrated with large amounts of wind power. However, the strong fluctuation features of wind power make wind power less predictable. This paper proposes a novel wind power prediction approach, incorporating wind power ex-ante and ex-post decomposition and correction. Firstly, the initial wind power during the wind power decomposition stage is decomposed into trend, fluctuation, and residual data, respectively, and the corresponding preliminary prediction models are developed, respectively. Secondly, in the error correction stage, the errors produced by the preliminary prediction model are corrected by persistence methods to compensate for final prediction errors. Moreover, the proposed model's comprehensive deterministic and probabilistic analysis is investigated in depth. Finally, the outcomes of numerical simulations demonstrate that the proposed approach can achieve good performance since it can reduce wind power forecast errors compared to other established deterministic models and uncertainty models.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"11 4","pages":"1454-1465"},"PeriodicalIF":5.9,"publicationDate":"2024-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10520160","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144831808","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 : 2024-03-03DOI: 10.17775/CSEEJPES.2022.07470
Haoyuan Yan;Tianyang Zhao;Zhanglei Guan
The rapid development of electric vehicles (EVs) is strengthening the bi-directional interactions between electric power networks (EPNs) and transportation networks (TNs) while providing opportunities to enhance the resilience of power systems towards extreme events. To quantify the temporal and spatial flexibility of EVs for charging and discharging, a novel dynamic traffic assignment (DTA) problem is proposed. The DTA problem is based on a link transmission model (LTM) with extended charging links, depicting the interaction between EVs and power systems. It models the charging rates as continuous variables by an energy boundary model. To consider the evacuation requirements of TNs and the uncertainties of traffic conditions, the DTA problem is extended to a two-stage distributionally robust version. It is further incorporated into a two-stage distributionally robust unit commitment problem to balance the enhancement of EPNs and the performance of TNs. The problem is reformulated into a mixed-integer linear programming problem and solved by off-the-shelf commercial solvers. Case studies are performed on two test networks. The effectiveness is verified by the numerical results, e.g., reducing the load shedding amount without increasing the unmet traffic demand.
{"title":"Proactive Resilience Enhancement of Power Systems with Link Transmission Model-Based Dynamic Traffic Assignment Among Electric Vehicles","authors":"Haoyuan Yan;Tianyang Zhao;Zhanglei Guan","doi":"10.17775/CSEEJPES.2022.07470","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.07470","url":null,"abstract":"The rapid development of electric vehicles (EVs) is strengthening the bi-directional interactions between electric power networks (EPNs) and transportation networks (TNs) while providing opportunities to enhance the resilience of power systems towards extreme events. To quantify the temporal and spatial flexibility of EVs for charging and discharging, a novel dynamic traffic assignment (DTA) problem is proposed. The DTA problem is based on a link transmission model (LTM) with extended charging links, depicting the interaction between EVs and power systems. It models the charging rates as continuous variables by an energy boundary model. To consider the evacuation requirements of TNs and the uncertainties of traffic conditions, the DTA problem is extended to a two-stage distributionally robust version. It is further incorporated into a two-stage distributionally robust unit commitment problem to balance the enhancement of EPNs and the performance of TNs. The problem is reformulated into a mixed-integer linear programming problem and solved by off-the-shelf commercial solvers. Case studies are performed on two test networks. The effectiveness is verified by the numerical results, e.g., reducing the load shedding amount without increasing the unmet traffic demand.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 3","pages":"1320-1330"},"PeriodicalIF":7.1,"publicationDate":"2024-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10520179","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141304077","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 : 2024-03-03DOI: 10.17775/CSEEJPES.2022.07590
Qingfeng Ding;Qianliang Liu;Hui Shi;Jing Luo
The performance of smart grid under the demand response (DR) control depends on the behavior of its network, which involves differences for multi-category DRs. In this paper, a distributed wireless network (DWN) is proposed for the demand transmission under smart grid, where all DR projects are divided into the emergency DR and the general DR by the latency difference. In the proposed DWN, a pseudo-double-hop transmission architecture is designed to handle the emergency DR locally and general DRs centrally, respectively. Furthermore, an analysis framework based on communication and computing performance is used to certify the reliability and effectiveness of DWN. Based on the framework, the closed-form expressions are derived for the asymptotic outage and computing probability, the results of which are used to investigate the performance of emergency and general DRs. Numerical results validate the reliability and effectiveness of the proposed network and reveal the effect of various parameters on the performance of DR. Notably, the local solution can handle, in terms of the emergency DR, the emergency tasks in time, and the centralized processing solution can update and process the general DR.
{"title":"Demand Response Management with Latency Difference in Distributed Wireless Network","authors":"Qingfeng Ding;Qianliang Liu;Hui Shi;Jing Luo","doi":"10.17775/CSEEJPES.2022.07590","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.07590","url":null,"abstract":"The performance of smart grid under the demand response (DR) control depends on the behavior of its network, which involves differences for multi-category DRs. In this paper, a distributed wireless network (DWN) is proposed for the demand transmission under smart grid, where all DR projects are divided into the emergency DR and the general DR by the latency difference. In the proposed DWN, a pseudo-double-hop transmission architecture is designed to handle the emergency DR locally and general DRs centrally, respectively. Furthermore, an analysis framework based on communication and computing performance is used to certify the reliability and effectiveness of DWN. Based on the framework, the closed-form expressions are derived for the asymptotic outage and computing probability, the results of which are used to investigate the performance of emergency and general DRs. Numerical results validate the reliability and effectiveness of the proposed network and reveal the effect of various parameters on the performance of DR. Notably, the local solution can handle, in terms of the emergency DR, the emergency tasks in time, and the centralized processing solution can update and process the general DR.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"11 3","pages":"1312-1321"},"PeriodicalIF":6.9,"publicationDate":"2024-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10520185","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144243748","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 : 2024-03-03DOI: 10.17775/CSEEJPES.2023.00310
Yuerong Yang;Shunjiang Lin;Qiong Wang;Mingbo Liu;Qifeng Li
An optimal preventive-corrective control model for static voltage stability under multiple $N-1$ contingencies considering the wind power uncertainty is established in this paper. The objective is to minimize the control variable adjustment cost including the load shedding cost of each contingency. The chance constraints of the static voltage stability margins (SVSMs) in the normal operation state and after each $N-1$ contingency are included. The approximate functions between the probability density functions (PDFs) of SVSMs and load shedding quantity with respect to preventive control variables are obtained to transform the expectation of load shedding quantity and the SVSM chance constraints into deterministic expressions. An approximate sequential convex quadratically constrained quadratic programming iteration method is proposed to solve the optimal control model. In each iteration, the approximate expressions and range are determined by the generated data samples. Moreover, a fast approximation calculation method of second-order matrices is proposed. By the naive Bayes classifier, the most severe $N-1$ contingencies are selected to replace all the contingencies to be added to the optimization model to improve the computational efficiency. Case studies on the IEEE-39 bus system and an actual provincial power grid demonstrate the effectiveness and efficiency of the proposed method.
{"title":"Preventive-Corrective Control for Static Voltage Stability Under Multiple $N-1$ Contingencies Considering Wind Power Uncertainty","authors":"Yuerong Yang;Shunjiang Lin;Qiong Wang;Mingbo Liu;Qifeng Li","doi":"10.17775/CSEEJPES.2023.00310","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.00310","url":null,"abstract":"An optimal preventive-corrective control model for static voltage stability under multiple <tex>$N-1$</tex> contingencies considering the wind power uncertainty is established in this paper. The objective is to minimize the control variable adjustment cost including the load shedding cost of each contingency. The chance constraints of the static voltage stability margins (SVSMs) in the normal operation state and after each <tex>$N-1$</tex> contingency are included. The approximate functions between the probability density functions (PDFs) of SVSMs and load shedding quantity with respect to preventive control variables are obtained to transform the expectation of load shedding quantity and the SVSM chance constraints into deterministic expressions. An approximate sequential convex quadratically constrained quadratic programming iteration method is proposed to solve the optimal control model. In each iteration, the approximate expressions and range are determined by the generated data samples. Moreover, a fast approximation calculation method of second-order matrices is proposed. By the naive Bayes classifier, the most severe <tex>$N-1$</tex> contingencies are selected to replace all the contingencies to be added to the optimization model to improve the computational efficiency. Case studies on the IEEE-39 bus system and an actual provincial power grid demonstrate the effectiveness and efficiency of the proposed method.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"11 4","pages":"1466-1480"},"PeriodicalIF":5.9,"publicationDate":"2024-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10520197","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144831811","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 : 2024-03-03DOI: 10.17775/CSEEJPES.2023.02900
Lunquan Li;Qianhong Chen;Zhiwang Zhan;Bin Liu
Power factor correction (PFC) is widely used in many industry fields. In this paper, a novel multiplexed and paralleled PFC rectifier (MPPR) is proposed. Compared with the paralleled traditional six-switch buck-type PFC rectifier (SSBPR), the proposed one uses fewer switches by multiplexing. And it is beneficial for system hardware design. The commutation states of the rectifier are illustrated in detail. By comparing the active power switches, it is shown that the efficiency of the rectifier is similar to that of the traditional paralleled one. Because the commutation states for the upper and lower parts of the rectifier are different, the controller of the converter is analyzed step by step. The forward duties and the inductor current references are discussed by considering the different input voltages of the upper and lower parts of the MPPR. Then the controller is presented and analyzed. Finally the effectiveness of the MPPR is verified by experiments.
{"title":"Multiplexed and Paralleled PFC Rectifier and Its Control","authors":"Lunquan Li;Qianhong Chen;Zhiwang Zhan;Bin Liu","doi":"10.17775/CSEEJPES.2023.02900","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.02900","url":null,"abstract":"Power factor correction (PFC) is widely used in many industry fields. In this paper, a novel multiplexed and paralleled PFC rectifier (MPPR) is proposed. Compared with the paralleled traditional six-switch buck-type PFC rectifier (SSBPR), the proposed one uses fewer switches by multiplexing. And it is beneficial for system hardware design. The commutation states of the rectifier are illustrated in detail. By comparing the active power switches, it is shown that the efficiency of the rectifier is similar to that of the traditional paralleled one. Because the commutation states for the upper and lower parts of the rectifier are different, the controller of the converter is analyzed step by step. The forward duties and the inductor current references are discussed by considering the different input voltages of the upper and lower parts of the MPPR. Then the controller is presented and analyzed. Finally the effectiveness of the MPPR is verified by experiments.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"11 2","pages":"760-771"},"PeriodicalIF":6.9,"publicationDate":"2024-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10520159","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143856140","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}
Hybrid MMC (Hy-MMC) has broad application prospects because of the negative level output ability in its bridge arm. A Hy-MMC topology with a high-modulation ratio is designed in this paper. A second-harmonic current injection (SHCI) strategy based on Hy-MMC in high-modulation operation is also proposed to improve the power density of Hy-MMC effectively in steady-state operation. The amplitude of SHCI is determined from the perspective of the root mean square (RMS) value of bridge arm current, and the optimal initial phase angle is determined from the multi-objective optimization (capacitor voltage ripple of sub-modules (SMs), power loss, and peak value of bridge arm current). The effectiveness and engineering practicability of the proposed SHCI strategy based on Hy-MMC in high-modulation operation is verified by the electromagnetic transient (EMT) simulation using PSCAD/EMTDC@. The simulation results show that the capacitor voltage ripple of SMs can be effectively decreased by 61.98% or the capacitance can be decreased by 40%. The power loss is also analyzed. In addition, little influence of low capacitance on multi-operation conditions of Hy-MMC is verified by EMT simulation.
{"title":"Capacitance Reduction Method on Hybrid MMC Topology with High Modulation Ratio","authors":"Qiang Fan;Jianzhong Xu;Tian Liang;Venkata Dinavahi;Chengyong Zhao","doi":"10.17775/CSEEJPES.2022.07180","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.07180","url":null,"abstract":"Hybrid MMC (Hy-MMC) has broad application prospects because of the negative level output ability in its bridge arm. A Hy-MMC topology with a high-modulation ratio is designed in this paper. A second-harmonic current injection (SHCI) strategy based on Hy-MMC in high-modulation operation is also proposed to improve the power density of Hy-MMC effectively in steady-state operation. The amplitude of SHCI is determined from the perspective of the root mean square (RMS) value of bridge arm current, and the optimal initial phase angle is determined from the multi-objective optimization (capacitor voltage ripple of sub-modules (SMs), power loss, and peak value of bridge arm current). The effectiveness and engineering practicability of the proposed SHCI strategy based on Hy-MMC in high-modulation operation is verified by the electromagnetic transient (EMT) simulation using PSCAD/EMTDC@. The simulation results show that the capacitor voltage ripple of SMs can be effectively decreased by 61.98% or the capacitance can be decreased by 40%. The power loss is also analyzed. In addition, little influence of low capacitance on multi-operation conditions of Hy-MMC is verified by EMT simulation.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"12 1","pages":"306-315"},"PeriodicalIF":5.9,"publicationDate":"2024-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10520196","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146147711","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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