Pub Date : 2016-10-01DOI: 10.1109/APPEEC.2016.7779712
Zhenlin Huang, L. Guan, Xingwang Chen, P. Shen, Jie Zhang
Since High Voltage Direct Current (HVDC) has overload-ability and quickly adjustable features, by rapidly modulating HVDC power in an AC/DC grid, HVDC can compensate power imbalance between sending-grid and receiving-grid and enhance transient stability after a heavy disturbance. In previous studies, the feasibility and effectiveness of an automatic real-time control strategy of HVDC in a single HVDC link system have been discussed. This paper focuses on the application of this control strategy in a multi-HVDC links system and the mutual influence between different HVDC links. Simulations in a transient simulation model of China Southern Power Grid (CSG) by the EMTDC/PSCAD software show that the coordinated control of multi-HVDC links contributes a significant improvement of the system transient stability after a large disturbance. When all of the four HVDC lines in CSG involve in the coordinated control, the stability of the system will be most obviously improved after a large disturbance. Meanwhile the mutual influence between the HVDC links is very limited.
高压直流(High Voltage Direct Current, HVDC)具有过载能力和快速可调的特点，通过快速调制交直流电网中的高压直流功率，可以补偿发、受电网之间的功率不平衡，增强强扰动后的暂态稳定性。在以往的研究中，已经讨论了单个HVDC链路系统中HVDC自动实时控制策略的可行性和有效性。本文重点研究了该控制策略在多直流线路系统中的应用，以及不同直流线路之间的相互影响。利用EMTDC/PSCAD软件对南方电网暂态仿真模型进行了仿真，结果表明，多直流线路的协同控制对大扰动后系统暂态稳定性有显著改善。当CSG内的4条高压直流线路全部参与协调控制时，大扰动后系统的稳定性得到最明显的改善。同时，直流输电线路之间的相互影响非常有限。
{"title":"Study on a coordinate control strategy of multi-HVDC links to improve transient stability in China Southern Power Grid","authors":"Zhenlin Huang, L. Guan, Xingwang Chen, P. Shen, Jie Zhang","doi":"10.1109/APPEEC.2016.7779712","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779712","url":null,"abstract":"Since High Voltage Direct Current (HVDC) has overload-ability and quickly adjustable features, by rapidly modulating HVDC power in an AC/DC grid, HVDC can compensate power imbalance between sending-grid and receiving-grid and enhance transient stability after a heavy disturbance. In previous studies, the feasibility and effectiveness of an automatic real-time control strategy of HVDC in a single HVDC link system have been discussed. This paper focuses on the application of this control strategy in a multi-HVDC links system and the mutual influence between different HVDC links. Simulations in a transient simulation model of China Southern Power Grid (CSG) by the EMTDC/PSCAD software show that the coordinated control of multi-HVDC links contributes a significant improvement of the system transient stability after a large disturbance. When all of the four HVDC lines in CSG involve in the coordinated control, the stability of the system will be most obviously improved after a large disturbance. Meanwhile the mutual influence between the HVDC links is very limited.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129561164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/APPEEC.2016.7779620
Peng Chen, Zetao Jiang, Zongshun Tang, L. Guan
The electricity feed-in tariff has a profound influence on economic efficiency of a combined cooling heating and power (CCHP) micro-systems. In this paper, economic analysis of a CCHP micro-grid system is performed in different electricity feed-in tariff cases, based on a comprehensive CCHP micro-grid system framework and mathematical model considering energy storage equipment, electrical heating equipment and electrical cooling equipment. Then, the influences of electricity feed-in tariff on system design and capacity sizing of the equipment are studied.
{"title":"Effect of electricity feed-in tariff on the planning of CCHP Micro-systems","authors":"Peng Chen, Zetao Jiang, Zongshun Tang, L. Guan","doi":"10.1109/APPEEC.2016.7779620","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779620","url":null,"abstract":"The electricity feed-in tariff has a profound influence on economic efficiency of a combined cooling heating and power (CCHP) micro-systems. In this paper, economic analysis of a CCHP micro-grid system is performed in different electricity feed-in tariff cases, based on a comprehensive CCHP micro-grid system framework and mathematical model considering energy storage equipment, electrical heating equipment and electrical cooling equipment. Then, the influences of electricity feed-in tariff on system design and capacity sizing of the equipment are studied.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128462579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Plug-in electric bus (PEB) is regarded as a promising mode of public transport in the future. This paper proposes two real-time coordinated charging strategies to improve the charging costs of electric bus fast charging station (EBFCS) by responding to the Time-of-Use (TOU) electricity prices. At first, a mixed integer linear programming (MILP) based optimal charging strategy is formulated by considering the constraints of PEB charging needs, continuous charging and distribution transformer capacity. To reduce the computation time, a suboptimal strategy is presented with a two-stage model. At the first stage, an ideal charging load profile is optimized without consideration of continuous charging; at the second stage, the continuous charging loads are scheduled to follow the ideal profile through heuristic method. In case studies, charging costs and load profiles under the distribution transformer are respectively simulated under optimal charging strategy, suboptimal charging strategy and uncoordinated charging scenarios. Simulation results demonstrate that the proposed two strategies reduce both the charging costs and the peak load effectively. Comparison between two strategies indicates that the suboptimal charging strategy improves computation efficiency dramatically with only a little charging cost increment.
{"title":"Coordinated charging strategies for electric bus fast charging stations","authors":"Huimiao Chen, Zechun Hu, Zhiwei Xu, Jiayi Li, Honggang Zhang, Xue Xia, Konghong Ning, Mingwei Peng","doi":"10.1109/APPEEC.2016.7779677","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779677","url":null,"abstract":"Plug-in electric bus (PEB) is regarded as a promising mode of public transport in the future. This paper proposes two real-time coordinated charging strategies to improve the charging costs of electric bus fast charging station (EBFCS) by responding to the Time-of-Use (TOU) electricity prices. At first, a mixed integer linear programming (MILP) based optimal charging strategy is formulated by considering the constraints of PEB charging needs, continuous charging and distribution transformer capacity. To reduce the computation time, a suboptimal strategy is presented with a two-stage model. At the first stage, an ideal charging load profile is optimized without consideration of continuous charging; at the second stage, the continuous charging loads are scheduled to follow the ideal profile through heuristic method. In case studies, charging costs and load profiles under the distribution transformer are respectively simulated under optimal charging strategy, suboptimal charging strategy and uncoordinated charging scenarios. Simulation results demonstrate that the proposed two strategies reduce both the charging costs and the peak load effectively. Comparison between two strategies indicates that the suboptimal charging strategy improves computation efficiency dramatically with only a little charging cost increment.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124720593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/APPEEC.2016.7779766
Pengwei Sun, Xifan Wang, Yangkai Hu, C. Xie, L. Ning
Modular multilevel matrix converter (M3C) is a competitive frequency converter option to be used in fractional frequency transmission system (FFTS). However, the previous literatures about M3C seldom study its harmonic issue and arm capacitor parameter selection principle. This paper analyzes the harmonic components of the electrical quantities of M3C by circular iteration and provides the principle of the arm capacitor parameters selection. Finally, the validity of the analysis is confirmed by simulation in PSCAD/EMTDC.
{"title":"The harmonic analysis and the arm capacitor parameters selection of module multilevel matrix converter","authors":"Pengwei Sun, Xifan Wang, Yangkai Hu, C. Xie, L. Ning","doi":"10.1109/APPEEC.2016.7779766","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779766","url":null,"abstract":"Modular multilevel matrix converter (M3C) is a competitive frequency converter option to be used in fractional frequency transmission system (FFTS). However, the previous literatures about M3C seldom study its harmonic issue and arm capacitor parameter selection principle. This paper analyzes the harmonic components of the electrical quantities of M3C by circular iteration and provides the principle of the arm capacitor parameters selection. Finally, the validity of the analysis is confirmed by simulation in PSCAD/EMTDC.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124966104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/APPEEC.2016.7779920
Pai Li, Gaofeng Fan, Weisheng Wang, Yuehui Huang, Lin Zhang
Renewable energy curtailment has become a severe problem in some regional power networks of China. To alleviate the curtailment, optimizing the integrated wind and solar power capacities becomes an urgent need. This paper proposes an improved method to optimize the wind and solar power capacity based on the time sequence simulation technology. An optimization model is proposed to maximize the environmental benefit for a regional power network with considering the constraints of system power balance, thermal unit peak load regulation ability, system spinning reserve, power and heating coupling of the co-generation unit and tie-line transmission capacity. To handle the transmission capacity constraint, the regional power network is aggregated for simplicity. The annual wind and solar power time sequences are incorporated as inputs for optimization. By giving a series of scenarios with different proportion of wind and solar energy, the optimal capacities are obtained by comparing the environmental benefit and the curtailment. Case studies are conducted with a provincial power network of China and testing results verify the effectiveness of the proposed method.
{"title":"Proportion optimization of wind and solar power capacity for regional power network","authors":"Pai Li, Gaofeng Fan, Weisheng Wang, Yuehui Huang, Lin Zhang","doi":"10.1109/APPEEC.2016.7779920","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779920","url":null,"abstract":"Renewable energy curtailment has become a severe problem in some regional power networks of China. To alleviate the curtailment, optimizing the integrated wind and solar power capacities becomes an urgent need. This paper proposes an improved method to optimize the wind and solar power capacity based on the time sequence simulation technology. An optimization model is proposed to maximize the environmental benefit for a regional power network with considering the constraints of system power balance, thermal unit peak load regulation ability, system spinning reserve, power and heating coupling of the co-generation unit and tie-line transmission capacity. To handle the transmission capacity constraint, the regional power network is aggregated for simplicity. The annual wind and solar power time sequences are incorporated as inputs for optimization. By giving a series of scenarios with different proportion of wind and solar energy, the optimal capacities are obtained by comparing the environmental benefit and the curtailment. Case studies are conducted with a provincial power network of China and testing results verify the effectiveness of the proposed method.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126670422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/APPEEC.2016.7779502
G. Lucarelli, Chao Yan, Z. Bie, C. Wang, Tao Ding, Fei Xiong
With the rapid development of renewable energy, the future power system certainly contains a plenty of generators with random output. These uncertain factors usually will aggravate the difficulty of reliability evaluation. On the other hand, the renewable energy generator likes a single wind turbine usually has small capacity. A wind farm has a plenty of wind turbines. The enormous increase of system dimension due to the integration of a plenty of wind turbines will also causes the decrease of system reliability evaluation efficiency. Hence, a high efficient reliability evaluation algorithm aiming at the composite system with the high proportion of renewable energy should be developed. As far as we know, high computation efficiency is an eternal topic of power system reliability evaluation. Recently, a Cross Entropy-Importance Sampling (CE-IS) based reliability evaluation method has been developed successfully in the application to power system reliability evaluation. All cases verify that the method can improve the evaluation efficiency remarkably, especially in those highly reliable systems (i.e. cut-load events are rare events). This paper studies the approach to deal with the composite system reliability evaluation considering the integration of wind energy using Cross Entropy (CE) method, and proposes three different approaches to deal with the problem. Finally, a modified test system with the integration of renewable energy is proposed to compare the effects of these integration approaches.
{"title":"Three approaches to use Cross-Entropy in reliability evaluation of composite system with high peneration wind energy","authors":"G. Lucarelli, Chao Yan, Z. Bie, C. Wang, Tao Ding, Fei Xiong","doi":"10.1109/APPEEC.2016.7779502","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779502","url":null,"abstract":"With the rapid development of renewable energy, the future power system certainly contains a plenty of generators with random output. These uncertain factors usually will aggravate the difficulty of reliability evaluation. On the other hand, the renewable energy generator likes a single wind turbine usually has small capacity. A wind farm has a plenty of wind turbines. The enormous increase of system dimension due to the integration of a plenty of wind turbines will also causes the decrease of system reliability evaluation efficiency. Hence, a high efficient reliability evaluation algorithm aiming at the composite system with the high proportion of renewable energy should be developed. As far as we know, high computation efficiency is an eternal topic of power system reliability evaluation. Recently, a Cross Entropy-Importance Sampling (CE-IS) based reliability evaluation method has been developed successfully in the application to power system reliability evaluation. All cases verify that the method can improve the evaluation efficiency remarkably, especially in those highly reliable systems (i.e. cut-load events are rare events). This paper studies the approach to deal with the composite system reliability evaluation considering the integration of wind energy using Cross Entropy (CE) method, and proposes three different approaches to deal with the problem. Finally, a modified test system with the integration of renewable energy is proposed to compare the effects of these integration approaches.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127032728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/APPEEC.2016.7779470
Lei Dong, Wei Liu, Naishi Chen, T. Pu
With an increasing number of controllable distributed generations (DGs) integrated into active distribution network (ADN), the real-time transmission capacities of communication network and computational capabilities of the control center face enormous challenges. To solve this issue, this paper presents a distributed optimal scheduling method based on consensus algorithm, which has a lower requirement for computing and communication capabilities of the autonomous regions. Law of equal consumed energy ratio is the theoretical basis used in the electric power system's optimal scheduling method. This paper defines incremental cost as the consistent variable. The incremental cost and active power output are calculated and updated by the local controller through the consensus algorithm. After iteration calculations, the incremental cost of all controllable DGs will reach consistency in the autonomous region, which realized the economic dispatch of autonomous region. The simulation results show the effectiveness and feasibility of the method.
{"title":"Study on regional autonomy of active distribution network based on consensus theory","authors":"Lei Dong, Wei Liu, Naishi Chen, T. Pu","doi":"10.1109/APPEEC.2016.7779470","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779470","url":null,"abstract":"With an increasing number of controllable distributed generations (DGs) integrated into active distribution network (ADN), the real-time transmission capacities of communication network and computational capabilities of the control center face enormous challenges. To solve this issue, this paper presents a distributed optimal scheduling method based on consensus algorithm, which has a lower requirement for computing and communication capabilities of the autonomous regions. Law of equal consumed energy ratio is the theoretical basis used in the electric power system's optimal scheduling method. This paper defines incremental cost as the consistent variable. The incremental cost and active power output are calculated and updated by the local controller through the consensus algorithm. After iteration calculations, the incremental cost of all controllable DGs will reach consistency in the autonomous region, which realized the economic dispatch of autonomous region. The simulation results show the effectiveness and feasibility of the method.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124121404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/APPEEC.2016.7779823
Wang Jianming, Li Chuandong, Wang Qi
VSC-HVDC transmission technology has many features such as independent controllability for active and reactive power, commutation failure free, and available for passive system power supply. So it can be applied when distributed generators are connected, inner cities and remote islands are supplied or synchronous networking is adopted. The operation characteristics of VSC-HVDC cannot be studied without power flow calculation. The existing power flow algorithms are poor at calculation efficiency dealing with node type changing. Based on equation changing method, this paper establishes an improved unified power flow algorithm for AC/DC power system with VSC-HVDC. When node type changes, element and control type of matrix will change accordingly to keep Jacobian matrix dimension constant. Therefore, calculation efficiency is enhanced in equation solving. The validity and superiority of the algorithm is verified by the actual power system data with VSC-HVDC.
{"title":"An improved power flow algorithm using equation changing method for AC/DC power system with VSC-HVDC","authors":"Wang Jianming, Li Chuandong, Wang Qi","doi":"10.1109/APPEEC.2016.7779823","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779823","url":null,"abstract":"VSC-HVDC transmission technology has many features such as independent controllability for active and reactive power, commutation failure free, and available for passive system power supply. So it can be applied when distributed generators are connected, inner cities and remote islands are supplied or synchronous networking is adopted. The operation characteristics of VSC-HVDC cannot be studied without power flow calculation. The existing power flow algorithms are poor at calculation efficiency dealing with node type changing. Based on equation changing method, this paper establishes an improved unified power flow algorithm for AC/DC power system with VSC-HVDC. When node type changes, element and control type of matrix will change accordingly to keep Jacobian matrix dimension constant. Therefore, calculation efficiency is enhanced in equation solving. The validity and superiority of the algorithm is verified by the actual power system data with VSC-HVDC.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"69 1-3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123470422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/APPEEC.2016.7779725
Linan Li, Renfei Che, Hongzhi Zang
This paper works on developing an algorithm based on support vector machines (SVM) which can automatically analyze, characterize, and classify a fault based on its root cause. Only single-phase grounding faults caused by external factors including lightning faults, wildfires faults, guano-caused flashovers, insulator contamination flashovers, object contacts and vehicle accidents are considered in this paper. From detailed analysis of the fault mechanisms and the waveforms of fault recorders, six influential factors are selected to characterize the six types of outages as follows: weather, season, time of day, DC component and high-frequency harmonic component in the zero sequence current and fault impedance magnitude. Discrete Fourier transform (DFT) is used for the analysis the frequency components of the fault phase voltage and current waveforms. The combination of these characteristics are used for training and testing the SVM architecture. In addition, genetic algorithm is applied to the SVM classifier to determine the optimal parametric settings which is proved that it can achieve higher classification accuracy. Successful testing of the proposed methodology proves its validity for identification of different fault reason types.
{"title":"A fault cause identification methodology for transmission lines based on support vector machines","authors":"Linan Li, Renfei Che, Hongzhi Zang","doi":"10.1109/APPEEC.2016.7779725","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779725","url":null,"abstract":"This paper works on developing an algorithm based on support vector machines (SVM) which can automatically analyze, characterize, and classify a fault based on its root cause. Only single-phase grounding faults caused by external factors including lightning faults, wildfires faults, guano-caused flashovers, insulator contamination flashovers, object contacts and vehicle accidents are considered in this paper. From detailed analysis of the fault mechanisms and the waveforms of fault recorders, six influential factors are selected to characterize the six types of outages as follows: weather, season, time of day, DC component and high-frequency harmonic component in the zero sequence current and fault impedance magnitude. Discrete Fourier transform (DFT) is used for the analysis the frequency components of the fault phase voltage and current waveforms. The combination of these characteristics are used for training and testing the SVM architecture. In addition, genetic algorithm is applied to the SVM classifier to determine the optimal parametric settings which is proved that it can achieve higher classification accuracy. Successful testing of the proposed methodology proves its validity for identification of different fault reason types.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"15 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120899554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/APPEEC.2016.7779512
Yushi Feng, Yong Li, Yijia Cao, Yicheng Zhou
With the increasing permeability of wind farms, the reactive power regulation capability of wind farms based on the fully-rated converted wind turbine can be reasonably considered for the reactive power dispatch of distribution system. Actually, the power grid needs the distributed reactive power source to support the voltage control flexibly and fast, which makes it possible for the wind farms to participate in the automatic voltage control (AVC). This paper proposes an AVC method based on the adaptive zone-division for the distribution system with wind farms. This method has an objective to aptly dispatch the reactive power from wind farms to maintain the voltage stability of the power network. The efficiency of proposed method is validated via a case study on a real power grid of China.
{"title":"Automatic voltage control based on adaptive zone-division for active distribution system","authors":"Yushi Feng, Yong Li, Yijia Cao, Yicheng Zhou","doi":"10.1109/APPEEC.2016.7779512","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779512","url":null,"abstract":"With the increasing permeability of wind farms, the reactive power regulation capability of wind farms based on the fully-rated converted wind turbine can be reasonably considered for the reactive power dispatch of distribution system. Actually, the power grid needs the distributed reactive power source to support the voltage control flexibly and fast, which makes it possible for the wind farms to participate in the automatic voltage control (AVC). This paper proposes an AVC method based on the adaptive zone-division for the distribution system with wind farms. This method has an objective to aptly dispatch the reactive power from wind farms to maintain the voltage stability of the power network. The efficiency of proposed method is validated via a case study on a real power grid of China.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124509651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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