基于分布式电源有功-无功调节能力的配电网无功规划
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摘要
传统的无功规划方法在应对小概率极端电压场景时往往要求配电网投资大量的无功补偿装置。为此,基于分布式电源及负荷场景,提出一种配电网无功规划模型,该模型充分利用了分布式电源的有功、无功调节能力,在小概率极端电压场景下将分布式电源有功调节作为一种附加电压调节手段,并以无功补偿装置投资费用和分布式电源有功调节费用之和最小为目标以减少系统总支付费用。提出一种嵌入原始对偶内点法的粒子群优化算法对模型进行求解。通过对自定义IEEE 30节点系统进行仿真分析,验证了所提模型的经济性和所提算法的有效性。
The traditional reactive power planning methods often require the distribution network to invest a large quantity of reactive power compensation devices when dealing with small probability extreme voltage scenes. Therefore,a reactive power planning model of distribution network is proposed based on the scenes of distributed generation and load,which fully uses the active-reactive power adjustment capability of distributed generation,makes the active power adjustment capability of distribution generation as an additional voltage adjustment measure under small probability extreme voltage scenes,and takes the minimum sum of investment cost of reactive power compensation devices and the active power adjustment cost of distributed generation as the objective to reduce the total payment of power system. A particle swarm optimization algorithm embedded with the original dual interior point method is proposed to solve the model. The simulation analysis of self-defined IEEE 30-bus system verifies the economy of the proposed model and the effectiveness of the proposed algorithm.
The traditional reactive power planning methods often require the distribution network to invest a large quantity of reactive power compensation devices when dealing with small probability extreme voltage scenes. Therefore,a reactive power planning model of distribution network is proposed based on the scenes of distributed generation and load,which fully uses the active-reactive power adjustment capability of distributed generation,makes the active power adjustment capability of distribution generation as an additional voltage adjustment measure under small probability extreme voltage scenes,and takes the minimum sum of investment cost of reactive power compensation devices and the active power adjustment cost of distributed generation as the objective to reduce the total payment of power system. A particle swarm optimization algorithm embedded with the original dual interior point method is proposed to solve the model. The simulation analysis of self-defined IEEE 30-bus system verifies the economy of the proposed model and the effectiveness of the proposed algorithm.
引文
[1]张沈习,程浩忠,邢海军,等.配电网中考虑不确定性的分布式电源规划研究综述[J].电力自动化设备,2016,36(8):1-9.ZHANG Shenxi,CHENG Haozhong,XING Haijun,et al. Review of DG planning considering uncertainties for distribution network[J].Electric Power Automation Equipment,2016,36(8):1-9.
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[10]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.GUO Kang,XU Yuqin,ZHANG Li,et al. Reactive power optimization of distribution network considering PV station random output[J].Power System Protection and Control,2012,40(10):53-58.
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[14]陈丽,张晋国,苏海锋.考虑并网光伏电源出力时序特性的配电网无功规划[J].电工技术学报,2014,29(12):120-127.CHEN Li,ZHANG Jinguo,SU Haifeng. Reactive power planning for distribution system with grid-connected photovoltaic system considering time-sequence characteristics[J]. Transactions of China Electrotechnical Society,2014,29(12):120-127.
[15]马溪原.含风电电力系统的场景分析方法及其在随机优化中的应用[D].武汉:武汉大学,2014.MA Xiyuan. Scenario analysis and stochastic programming of windintegrated power system[D]. Wuhan:Wuhan University,2014.
[16]周辛南,柯德平,孙元章.基于配电网静态电压质量机会性约束的可再生能源分布式发电容量规划[J].电力自动化设备,2015,35(9):143-149.ZHOU Xinnan,KE Deping,SUN Yuanzhang. DG planning based on chance constraint of distribution network static voltage quality for renewable energies[J]. Electric Power Automation Equipment,2015,35(9):143-149.
[17]陈丽,侯晨伟,张晋国.基于全寿命周期成本的配电网多阶段无功规划[J].河北大学学报(自然科学版),2015,35(3):316-323.CHEN Li,HOU Chenwei,ZHANG Jinguo. Multi-stage reactive power planning based on life cycle cost for distribution network[J].Journal of Hebei University(Natural Science Edition),2015,35(3):316-323.
[18]KENNEDY J,EBERHART R. Particles warm optimization[C]∥Proceedings of ICNN'95-International Conference on Neural Networks. Perth,Australia:IEEE,1995:1942-1948.
[19]单明,周步祥,张彦军,等.基于原-对偶内点法的无功优化不可行问题研究[J].电网技术,2006,30(增刊2):181-184.SHAN Ming,ZHOU Buxiang,ZHANG Yanjun,et al. Infeasibility study of reactive power optimization based on primal dual interior point mathod[J]. Power System Technology,2006,30(Supplyment2):181-184.
[2]钱科军,袁越.分布式发电技术及其对电力系统的影响[J].继电器,2007,35(13):25-29.QIAN Kejun,YUAN Yue. Distributed generation technology and its impact on power systems[J]. Relay,2007,35(13):25-29.
[3]江洁,王主丁,张宗益,等.基于有效生成初始种群的配电网无功规划优化遗传算法[J].电网技术,2009,33(8):60-65.WANG Jie,WANG Zhuding,ZHANG Zongyi,et al. Effective initial population generation based genetic algorithm for optimal capacitor placement in radial distribution networks[J]. Power System Technology,2009,33(8):60-65.
[4]林少华,吴杰康,莫超,等.基于二阶锥规划的含分布式电源配电网动态无功分区与优化方法[J].电网技术,2018,42(1):238-246.LIN Shaohua,WU Jiekang,MO Chao,et al. Dynamic partition and optimization method for reactive power of distribution networks with distributed generation based on second-order cone programming[J].Power System Technology,2018,42(1):238-246.
[5]刘学平,刘天琪,李兴源.含风电机组的配电网无功优化补偿[J].电力系统保护与控制,2010,38(20):130-135.LIU Xueping,LIU Tianqi,LI Xingyuan. Optimal reactive power planning in distribution system with wind power generators[J]. Power System Protection and Control,2010,38(20):130-135.
[6]刘沛津,谷立臣.含风电场的电力系统无功规划优化[J].电网技术,2010,34(7):175-180.LIU Peijin,GU Licheng. Optimization of reactive power planning for power system containing wind farms[J]. Power System Technology,2010,34(7):175-180.
[7]谢俊,王璐,傅旭华,等.考虑风电功率概率分布不确定性的含风电配电网无功规划方法[J].电力自动化设备,2016,36(6):40-47.XIE Jun,WANG Lu,FU Xuhua,et al. Reactive power planning with consideration of wind power probability distribution uncertainty for distribution network[J]. Electric Power Automation Equipment,2016,36(6):40-47.
[8]张沈习,程浩忠,张立波,等.含风电机组的配电网多目标无功规划[J].电力系统保护与控制,2013,41(1):40-46.ZHANG Shenxi,CHENG Haozhong,ZHANG Libo,et al. Multi-objective reactive power planning in distribution system incorporation with wind turbine generation[J]. Power System Protection and Control,2013,41(1):40-46.
[9]杨素琴,罗念华,韩念杭.分布式电源并网动态无功优化调度的研究[J].电力系统保护与控制,2013,41(17):122-126.YANG Suqin,LUO Nianhua,HAN Nianhang. Study on dynamic reactive power optimization dispatching for a local power system[J].Power System Protection and Control,2013,41(17):122-126.
[10]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.GUO Kang,XU Yuqin,ZHANG Li,et al. Reactive power optimization of distribution network considering PV station random output[J].Power System Protection and Control,2012,40(10):53-58.
[11]吕清洁,王韶,刘庭磊.含分布式发电的配电网有功-无功综合优化[J].电力系统保护与控制,2012,40(10):71-76,83.LQingjie,WANG Shao,LIU Tinglei. Active/reactive power integrated optimization in distribution networks with distribution networks with distributed generation[J]. Power System Protection and Control,2012,40(10):71-76,83.
[12]魏昊焜,刘健,高慧.分布式电源的本地电压控制策略[J].电力自动化设备,2016,36(9):40-45.WEI Haokun,LIU Jian,GAO Hui. Local voltage control of distributed generations[J]. Electric Power Automation Equipment,2016,36(9):40-45.
[13]任佳依,顾伟,王勇,等.基于模型预测控制的主动配电网多时间尺度有功无功协调调度[J].中国电机工程学报,2018,38(5):1397-1407.REN Jiayi,GU Wei,WANG Yong,et al. Multi-time scale active and reactive power coordinated optimal dispatch in active distribution network based on model predictive control[J]. Proceedings of the CSEE,2018,38(5):1397-1407.
[14]陈丽,张晋国,苏海锋.考虑并网光伏电源出力时序特性的配电网无功规划[J].电工技术学报,2014,29(12):120-127.CHEN Li,ZHANG Jinguo,SU Haifeng. Reactive power planning for distribution system with grid-connected photovoltaic system considering time-sequence characteristics[J]. Transactions of China Electrotechnical Society,2014,29(12):120-127.
[15]马溪原.含风电电力系统的场景分析方法及其在随机优化中的应用[D].武汉:武汉大学,2014.MA Xiyuan. Scenario analysis and stochastic programming of windintegrated power system[D]. Wuhan:Wuhan University,2014.
[16]周辛南,柯德平,孙元章.基于配电网静态电压质量机会性约束的可再生能源分布式发电容量规划[J].电力自动化设备,2015,35(9):143-149.ZHOU Xinnan,KE Deping,SUN Yuanzhang. DG planning based on chance constraint of distribution network static voltage quality for renewable energies[J]. Electric Power Automation Equipment,2015,35(9):143-149.
[17]陈丽,侯晨伟,张晋国.基于全寿命周期成本的配电网多阶段无功规划[J].河北大学学报(自然科学版),2015,35(3):316-323.CHEN Li,HOU Chenwei,ZHANG Jinguo. Multi-stage reactive power planning based on life cycle cost for distribution network[J].Journal of Hebei University(Natural Science Edition),2015,35(3):316-323.
[18]KENNEDY J,EBERHART R. Particles warm optimization[C]∥Proceedings of ICNN'95-International Conference on Neural Networks. Perth,Australia:IEEE,1995:1942-1948.
[19]单明,周步祥,张彦军,等.基于原-对偶内点法的无功优化不可行问题研究[J].电网技术,2006,30(增刊2):181-184.SHAN Ming,ZHOU Buxiang,ZHANG Yanjun,et al. Infeasibility study of reactive power optimization based on primal dual interior point mathod[J]. Power System Technology,2006,30(Supplyment2):181-184.