基于混沌粒子群算法的光伏电站站内无功优化
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摘要
光照强度的变化不仅会造成光伏电站并网点电压波动,而且可能会导致光伏发电单元出口电压越限,呈现较大的时空分散特性。并且随着光伏有功出力增加,光伏电站的稳定性会下降。针对上述问题,在建立大型光伏电站的模型上,采用改进的混沌粒子群算法对光伏电站进行多目标无功优化,以均衡光伏电站站内节点电压,提高其稳定裕度,并降低有功网损为目标,仿真验证所提方法的正确性。通过求解向量组的极大线性无关组判断粒子的进化方向,有利于粒子保持多样性。
The large photovoltaic power station is composed of a plurality of groups of photovoltaic generating units in parallel. Illumination of light intensity will not only cause the PCC voltage fluctuation,but also may cause the voltage of the photovoltaic power generation unit exit the limit,showing a large space and time dispersion characteristics. And with the increase of active power output,and the stability of photovoltaic power plants will decline. Aiming at balancing the node voltage of photovoltaic power station,improving the stability margin and reducing the active power loss,multi objective reactive power optimization is applied by improved chaos particle swarm optimization algorithm in photovoltaic power plant,basing on the model of large scale photovoltaic power station. Finally,the correctness of the proposed method is verified by simulation. In this paper,the evolution direction of the particle is judged by the maximal linear independent group of the vector group,which is beneficial to the diversity of the particle.
The large photovoltaic power station is composed of a plurality of groups of photovoltaic generating units in parallel. Illumination of light intensity will not only cause the PCC voltage fluctuation,but also may cause the voltage of the photovoltaic power generation unit exit the limit,showing a large space and time dispersion characteristics. And with the increase of active power output,and the stability of photovoltaic power plants will decline. Aiming at balancing the node voltage of photovoltaic power station,improving the stability margin and reducing the active power loss,multi objective reactive power optimization is applied by improved chaos particle swarm optimization algorithm in photovoltaic power plant,basing on the model of large scale photovoltaic power station. Finally,the correctness of the proposed method is verified by simulation. In this paper,the evolution direction of the particle is judged by the maximal linear independent group of the vector group,which is beneficial to the diversity of the particle.
引文
[1]赵争鸣,雷一,贺凡波,等.大容量并网光伏电站技术综述[J].电力系统自动化,2011,35(12):101—107.[1] Zhao Zhengming,Lei Yi,He Fanbo,et al. Overview oflarge-scale grid-connected photovoltaic power plants[J].Automation of Electric Power Systems,2011,35(12):101—107.
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[11]郭康,徐玉琴,张丽,等.计及光伏电站随机出力的配电网无功优化[J].电力系统保护与控制,2012,40(10):53—58.[11] Guo Kang,Xu Yuqin,Zhang Li,et al. Reactive poweroptimization of distribution network considering PVstation random output[J]. Power System Protection andControl,2012,40(10):53—58.
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[13]丁玉凤,文劲宇.基于改进PSO算法的电力系统无功优化研究[J].继电器,2005,33(6):20—24.[13] Ding Yufeng,Wen Jinyu. Advanced PSO algorithm ofreactive power optimization in power system[J]. Relay,2005,33(6):20—24.
[14]李娟,杨琳,刘金龙,等.基于自适应混沌粒子群优化算法的多目标无功优化[J].电力系统保护与控制,2011,39(9):26—31.[14] Li Juan,Yang Lin,Liu Jinlong,et al. Multi-objectivereactive power optimization based on adaptive chaosparticle swarm optimization algorithm[J]. Power SystemProtection and Control,2011,39(9):26—31.
[15]刘丽军,李捷,蔡金锭.基于强引导粒子群与混沌优化的电力系统无功优化[J].电力自动化设备,2010,30(4):71—75.[15] Liu Lijun, Li Jie, Cai Jinding. Reactive poweroptimization based on induction-enhanced particleswarm optimization and chaos search[J]. Electric PowerAutomation Equipment,2010,30(4):71—75.
[16]汪超,王昕,姚钢,等.基于黄金分割的混沌粒子群优化算法在配电网无功规划中的应用[J].电力系统保护与控制,2012,40(7):31—36.[16] Wang Chao,Wang Xin,Yao Gang,et al. Application ofgolden section based chaos particle swarm optimizationalgorithm in distribution network eactive poweroptimization[J]. Power System Protection and Control,2012,40(7):31—36.
[17] Inzunza R, Sumiya T, Fujii Y, et al. Parallelconnection of grid-connected LCL inverters for MW-scaled photovoltaic systems[A]. Proceedings of IEEEInternational Power Electronics Conference[C],Sapporo,Japan,2010,1988—1993.
[18]傅望,周林,郭珂,等.光伏电池工程用数学模型研究[J].电工技术学报,2011,10(9):211—216.[18] Fu Wang,Zhou Lin,Guo Ke,et al. Research onengineering analytical model of solar cells[J].Transactions of China Electrotechnical Society,2011,10(9):211—216.
[19]杜潇,周林,郭珂,等.大型光伏电站静态电压稳定性分析[J].电网技术,2015,39(12):3427—3434.[19] Du Xiao,Zhou Lin,Guo Ke,et al. Static voltagestability analysis of large-scale photovoltaic plants[J].Power System Technology,2015,39(12):3427—3434.
[20]黄席樾,向长城,殷礼胜.现代智能算法理论及应用[M].北京:科学出版社,2009.[20] Huang Xiyue,Xiang Changcheng,Yin Lisheng. Theoryand application of modern intelligent algorithms[M].Beijing:Science Press,2009.
[2]丁明,王伟胜,王秀丽,等.大规模光伏发电对电力系统影响综述[J].中国电机工程学报,2014,34(1):1—14.[2] Ding Ming,Wang Weisheng,Wang Xiuli,et al. Areview on the effect of large-scale PV generation onpower systems[J]. Proceedings of the CSEE,2014,34(1):1—14.
[3]周林,张密,居秀丽,等.电网阻抗对大型并网光伏系统稳定性影响分析[J].中国电机工程学报,2013,33(34):34—41.[3] Zhou Lin,Zhang Mi,Ju Xiuli,et al. Stability analysisof large-scale photovoltaic plants due to grid impedances[J]. Proceedings of the CSEE,2013,33(34):34—41.
[4] Du Yan,Su Jianhui,Mao Meiqin,et al. Autonomouscontroller based on synchronous generator dq0 model formicro grid inverters[A]. 8th International Conference onPower Electronics[C], Jeju, South Korea, 2011,2645—2649.
[5]裴玮,孔力,齐智平.光伏发电参与配电网电压调节的控制策略研究[J].太阳能学报,2011,32(11):1629—1635.[5] Pei Wei,Kong Li,Qi Zhiping. Cooperatative voltageregulation strategy in distribution network with highpenetration level of PV generations[J]. Acta EnergiaeSolaris Sinica,2011,32(11):1629—1635.
[6] Xu Xiaoyan, Huang Yuehui, He Guoqing, et al.Modeling of large grid-Integrated PV station and analysisits impact on grid voltage[A]. International Conferenceon Sustainable Power Generation and Supply[C],Nanjing,China,2009,1—6.
[7] Kabiri R,Holmes D G,Mcgrath B P,et al. Theinfluence of PV inverter reactive power injection on gridvoltage regulation[A]. Power Electronics for DistributedGeneration Systems[C],Galway,Ireland,2014,1—8.
[8] Q/GDW 617—2011,光伏电站接入电网技术规定[S].[8] Q/GDW 617—2011,Technical for photovoltaic powerstation connected to power grid[S].
[9]葛虎,毕锐,徐志成,等.大型光伏电站无功电压控制究[J].电力系统保护与控制,2014,42(14):45—51.[9] Ge Hu,Bi Rui,Xu Zhicheng,et al. Research onreactive power and voltage control of large-scalephotovoltaic power station[J]. Power System Protectionand Control,2014,42(14):45—51.
[10]晁阳.并网光伏发电系统无功电压控制研究[D].重庆:重庆大学,2014,37—39.[10] Chao Yang. The research of reactive power and voltagecontrol for grid-connected photovoltaic generatingsystems[D]. Chongqing:Chongqing University,2014,37—39.
[11]郭康,徐玉琴,张丽,等.计及光伏电站随机出力的配电网无功优化[J].电力系统保护与控制,2012,40(10):53—58.[11] Guo Kang,Xu Yuqin,Zhang Li,et al. Reactive poweroptimization of distribution network considering PVstation random output[J]. Power System Protection andControl,2012,40(10):53—58.
[12]张璐,唐巍,丛鹏伟,等.含光伏发电的配电网有功无功资源综合优化配置[J].中国电机工程学报,2014,34(31):5525—5533.[12] Zhang Lu,Tang Wei,Cong Pengwei,et al. Optimalconfiguration of active-reactive power sources indistribution network with photovoltaic generation[J].Proceedings of the CSEE,2014,34(31):5525—5533.
[13]丁玉凤,文劲宇.基于改进PSO算法的电力系统无功优化研究[J].继电器,2005,33(6):20—24.[13] Ding Yufeng,Wen Jinyu. Advanced PSO algorithm ofreactive power optimization in power system[J]. Relay,2005,33(6):20—24.
[14]李娟,杨琳,刘金龙,等.基于自适应混沌粒子群优化算法的多目标无功优化[J].电力系统保护与控制,2011,39(9):26—31.[14] Li Juan,Yang Lin,Liu Jinlong,et al. Multi-objectivereactive power optimization based on adaptive chaosparticle swarm optimization algorithm[J]. Power SystemProtection and Control,2011,39(9):26—31.
[15]刘丽军,李捷,蔡金锭.基于强引导粒子群与混沌优化的电力系统无功优化[J].电力自动化设备,2010,30(4):71—75.[15] Liu Lijun, Li Jie, Cai Jinding. Reactive poweroptimization based on induction-enhanced particleswarm optimization and chaos search[J]. Electric PowerAutomation Equipment,2010,30(4):71—75.
[16]汪超,王昕,姚钢,等.基于黄金分割的混沌粒子群优化算法在配电网无功规划中的应用[J].电力系统保护与控制,2012,40(7):31—36.[16] Wang Chao,Wang Xin,Yao Gang,et al. Application ofgolden section based chaos particle swarm optimizationalgorithm in distribution network eactive poweroptimization[J]. Power System Protection and Control,2012,40(7):31—36.
[17] Inzunza R, Sumiya T, Fujii Y, et al. Parallelconnection of grid-connected LCL inverters for MW-scaled photovoltaic systems[A]. Proceedings of IEEEInternational Power Electronics Conference[C],Sapporo,Japan,2010,1988—1993.
[18]傅望,周林,郭珂,等.光伏电池工程用数学模型研究[J].电工技术学报,2011,10(9):211—216.[18] Fu Wang,Zhou Lin,Guo Ke,et al. Research onengineering analytical model of solar cells[J].Transactions of China Electrotechnical Society,2011,10(9):211—216.
[19]杜潇,周林,郭珂,等.大型光伏电站静态电压稳定性分析[J].电网技术,2015,39(12):3427—3434.[19] Du Xiao,Zhou Lin,Guo Ke,et al. Static voltagestability analysis of large-scale photovoltaic plants[J].Power System Technology,2015,39(12):3427—3434.
[20]黄席樾,向长城,殷礼胜.现代智能算法理论及应用[M].北京:科学出版社,2009.[20] Huang Xiyue,Xiang Changcheng,Yin Lisheng. Theoryand application of modern intelligent algorithms[M].Beijing:Science Press,2009.