含有电力弹簧的主动配电网优化运行
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摘要
电力弹簧作为一种新型负荷侧调节设备,与具有宽电压范围的非关键负载串联形成智能负载,自动调节用电量与发电量匹配,以实现配电网运行优化。研究了含有电力弹簧的主动配电网最优潮流模型,提出了一种基于果蝇优化算法的智能负载优化方法,松弛法被用于推导最优潮流的二阶锥规划公式。结果表明,智能负载的主动调节可以优化配电网电压水平,降低有功网损,降低配电网的运行成本。所提多目标优化模型在一个改进的IEEE-33节点模型中求解,仿真结果验证了其正确性和有效性。
As a new type of demand-side adjusting device,the electric spring(ES)forms a smart load in series with non-critical loads with a wide voltage range to automatically adjust the power consumption to match the power generation so as to optimize the operation of ADN.In this paper,the optimal power flow(OPF)model of ADN with ES is researched,and a smart load optimization method based on fruit fly optimization algorithm is proposed,and approximation technique is used to derive the second-order cone programming formula of OPF.The active adjustment of the smart load can reduce the voltage deviation,the transmission loss,and the operational cost of ADN.The proposed multi-objective optimization model is used in a modified IEEE33-bus distribution system.Simulation results validate the proposed optimization model and algorithm.
As a new type of demand-side adjusting device,the electric spring(ES)forms a smart load in series with non-critical loads with a wide voltage range to automatically adjust the power consumption to match the power generation so as to optimize the operation of ADN.In this paper,the optimal power flow(OPF)model of ADN with ES is researched,and a smart load optimization method based on fruit fly optimization algorithm is proposed,and approximation technique is used to derive the second-order cone programming formula of OPF.The active adjustment of the smart load can reduce the voltage deviation,the transmission loss,and the operational cost of ADN.The proposed multi-objective optimization model is used in a modified IEEE33-bus distribution system.Simulation results validate the proposed optimization model and algorithm.
引文
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[3]黄伟,李宁坤,田羽洲,等.主动配电网日前-实时调度策略研究[J].现代电力,2017,34(3):52-59.HUANG Wei,LI Ningkun,TIAN Yuzhou,et al.Research on day-ahead and real-time schedule strategy for ADN[J].Modern Electric Power,2017,34(3):52-59.
[4]王云,刘东,李庆生.主动配电网中柔性负荷的混合系统建模与控制[J].中国电机工程学报,2016,36(8):2142-2150.WANG Yun,LIU Dong,LI Qingsheng.Modeling and control of flexible load based on hybrid system in active distribution network[J].Proceedings of the CSEE,2016,36(8):2142-2150.
[5]王珂,姚建国,姚良忠,等.电力柔性负荷调度研究综述[J].电力系统自动化,2014,38(20):127-135.WANG Ke,YAO Jianguo,YAO Liangzhong,et al.Survey of research on flexible loads scheduling technologies[J].Automation of Electric Power Systems,2014,38(20):127-135.
[6]刘萌,梁雯,张岩,等.计及空调负荷群控制的源-荷协同优化调度模型[J].电网技术,2017,41(4):1230-1238.LIU Meng,LIANG Wen,ZHANG Yan,et al.Cooperative generation-lad optimal dispatching model considering air-conditioning load group control[J].Power System Technology,2017,41(4):1230-1238.
[7]HUI S Y R,LEE C K,WU F.Electric springs-A new smart grid technology[J].IEEE Transactions on Smart Grid,2012,3(3):1552-1561.
[8]TAN S C,CHI K L,HUI S Y.General steady-state analysis and control principle of electric springs with active and reactive power compensations[J].IEEE Transactions on Power Electronics,2013,28(8):3958-3969.
[9]AKHTAR Z,CHAUDHURI B,SHU Y R H.Smart loads for voltage control in distribution networks[C]//Power and Energy Society General Meeting.IEEE,2016:1-1.
[10]LEE C K,HUI S Y.Input AC voltage control bi-directional power converters.US 20130322139 A1[P].2013.
[11]MOK K T,WANG M H,TAN S C,et al.DC electric springs-an emerging technology for DC grids[C]//Applied Power Electronics Conference and Exposition.IEEE,2015:684-690.
[12]WANG M H,MOK K T,TAN S C,et al.Series and shunt DC electric springs[C]//Energy Conversion Congress and Exposition.IEEE,2015.
[13]程明,王青松,张建忠.电力弹簧理论分析与控制器设计[J].中国电机工程学报,2015,35(10):2436-2444.CHENG Ming,WANG Qingsong,ZHANG Jianzhong.Theoretical analysis and controller design of electric springs[J].Proceedings of the CSEE,2015,35(10):2436-2444.
[14]王青松.电力弹簧若干关键技术研究[D].南京:东南大学,2016.
[15]LEE C K,CHENG K L,NG W M.Load characterisation of electric spring[C]//Energy Conversion Congress and Exposition.IEEE,2013:4665-4670.
[16]LIU H,CHI K L,HRI R S Y,et al.Capability analysis and design considerations of electric springs[C]//IEEE,International Symposium on Power Electronics for Distributed Generation Systems.IEEE,2016:1-6.
[17]BARADAR M,HESAMZADEH M R,GHANDHARI M.Second-order cone programming for optimal power flow in VSC-type AC-DC grids[J].IEEE Transactions on Power Systems,2013,28(4):4282-4291.
[18]潘文超.应用果蝇优化算法优化广义回归神经网络进行企业经营绩效评估[J].太原理工大学学报:社会科学版,2011,29(4):1-5.PAN Wenchao.Using fruit fly optimization algorithm optimized general regression neural network to construct the operating performance of enterprises model[J].Journal of Taiyuan University of Technology:Social Sciences Edition,2011,29(4):1-5.
[19]LOFBERG J.YALMIP:A toolbox for modeling and optimization in MATLAB[C]//Computer Aided Control Systems Design,2004 IEEE International Symposium on Taiwan:IEEE,2004:284-289.