基于分布式电源的配电网多目标优化策略研究
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摘要
大量的可再生分布式能源并网是当今电力系统的发展趋势,优化配电网潮流和提升系统消纳分布式电源(DG)的能力成为研究热点。在建立DG数学模型的基础上,从电源侧开展DG选址的研究,并对含协调储能和柔性负荷的主动配电网进行优化调度。其中,DG选址采用使配电网络损耗最小和电压水平最高的多目标规划模型,并利用功率圆法求解DG的最佳接入位置;对主动配电网的优化则构建了使配电网电压偏差最小、网络损耗最小和可再生能源发电比例最高的多目标优化调度模型,并运用智能粒子群算法进行求解。最后以标准IEEE 33节点配电系统为算例进行仿真分析,解决了DG选址问题并验证了该优化策略的有效性。
A large number of distributed renewable energy sources integrated into power grid are emblematic of a trend in today' s power system development,so the focus is on studying the optimization of distribution power flow and the increase of distributed generation(DG) integration into the system. Based on the establishment of DG mathematical model,this paper studies the site selection for the DG on the source side,and implements the optimal scheduling for active distribution network with energy storage system and flexible load.Specifically, a multi-objective programming model that minimizes the network loss and maximizes the voltage level is applied to the siting of the DG, and power circle method is used to find the best location of the DG. Meanwhile, a multi-objective optimal scheduling model for the active distribution network is established, it can be solved with intelligent particle swarm algorithm, minimizing the voltage deviation, network loss, maximizing the proportion of renewable energy generation. Finally, the IEEE 33-node distribution network is simulated to solve the siting of the DG and verify the effectiveness of the strategy.
A large number of distributed renewable energy sources integrated into power grid are emblematic of a trend in today' s power system development,so the focus is on studying the optimization of distribution power flow and the increase of distributed generation(DG) integration into the system. Based on the establishment of DG mathematical model,this paper studies the site selection for the DG on the source side,and implements the optimal scheduling for active distribution network with energy storage system and flexible load.Specifically, a multi-objective programming model that minimizes the network loss and maximizes the voltage level is applied to the siting of the DG, and power circle method is used to find the best location of the DG. Meanwhile, a multi-objective optimal scheduling model for the active distribution network is established, it can be solved with intelligent particle swarm algorithm, minimizing the voltage deviation, network loss, maximizing the proportion of renewable energy generation. Finally, the IEEE 33-node distribution network is simulated to solve the siting of the DG and verify the effectiveness of the strategy.
引文
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[17]邢海军,程浩忠,张沈习,等.主动配电网规划研究综述[J].电网技术,2015,39(10):2705-2711.XING Haijun, CHENG Haozhong, ZHANG Shenxi, et al.Overview of active distribution network planning research[J]. Power System Technology,2015,39(10):2705-2711.
[18]蒋煜,丁晓群,郑程拓,等.含电动汽车的主动配电网分布式电源规划[J].广东电力,2017,30(7):1-6.JIANG Yu, DING Xiaoqun, ZHENG Chengtuo, et al.Distributed power supply planning for active distribution network with electric vehicles[J]. Guangdong Electric Power, 2017, 30(7):1-6.
[19]尤毅,刘东,钟清,等.主动配电网优化调度策略研究[J].电力系统自动化,2014, 38(9):177-183.YOU Yi, LIU Dong, ZHONG Qing, et al. Research on optimal scheduling strategy of active distribution network[J]. Automation of Electric Power Systems, 2014, 38(9):177-183.
[20]王健,谢桦,孙健.基于机会约束规划的主动配电网能量优化调度研究[J].电力系统保护与控制,2014, 42(13):45-52.WANG Jian, XIE Hua, SUN Jian. Research on energy optimization scheduling of active distribution network based on chance constrained programming[J]. Power System Protection and Control, 2014, 42(13):45-52.
[21]于汀,刘广一,蒲天骄,等.计及柔性负荷的主动配电网多源协调优化控制[J].电力系统自动化,2015, 39(9):95-100.YU Ting, LIU Guangyi, PU Tianjiao, et al. Multi-sourcecoordinated optimization control of active distribution network considering flexible load[J]. Automation of Electric Power Systems, 2015, 39(9):95-100.
[22]孟涛.主动配电网广义电源多目标优化配置与运行[D].吉林:东北电力大学,2016.
[23]司晶晶.基于PSO-BFO算法的主动配电网优化调度策略研究[D].兰州:兰州交通大学,2016.
[24]高尚,杨静宇.群智能算法及其应用[M].北京:中国水利水电出版社,2006.
[25]彭喜元,彭宇,戴毓丰.群智能理论及应用[J].电子学报,2003, 31(s1):1982-1988.PENG Xiyuan, PENG Yu, DAI Yufeng. Theory and application of group intelligence[J]. Chinese Journal of Electronics, 2003, 31(s1):1982-1988.
[26] SHI Y, EBERHART R. Modified particle swarm optimizer[C]. Anchorage:IEEE International Conference on Evolutionary Computation, 1998.
[27] SCHUTTE J F, REINBOLT J A, FREGLY B J, et al.Parallel global optimization with the particle swarm algorithm[J]. International Journal for Numerical Methods in Engineering, 2004, 61(13):2296-2315.
[2]范明天,张祖平.主动配电网规划相关问题的探讨[J].供用电,2014, 31(1):22-27.FAN Mingtian, ZHANG Zuping. Discussion on issues related to active distribution network planning[J].Distribution&Utilization, 2014, 31(1):22-27.
[3] D'ADAMO C, JUPE S, ABBEY C. Global survey on planning and operation of active distribution networksUpdate of CIGRE C6.11 working group activities[C].Prague:International Cornference&Exhibition on Electricity Distribution, 2009.
[4] REPO S, MAKI K, JARVENTAUSTA P, et al. ADINEEU demonstration project of active distribution network[C].Frankfurt:SmartGrids for Distribution, 2008 IET-CIRED Seminar, 1-5.
[5] MILANOVIC J V, ZALI S M. Validation of equivalent dynamic model of active distribution network cell[J]. IEEE Transactions on Power Systems, 2013, 28(3):2101-2110.
[6]丁明,林根德,陈自年,等.一种适用于混合储能系统的控制策略[J].中国电机工程学报,2012, 32(7):1-6.DING Ming, LIN Gende, CHEN Zinian, et al. A control strategy for mixed energy storage systems[J]. Proceedings of the CSEE, 2012, 32(7):1-6.
[7] DUNN B, KAMATH H, TARASCON J M. Electrical energy storage for the grid:a battery of choices[J].Science,2011,334(6058):928.
[8]尤毅,刘东,于文鹏,等.主动配电网技术及其进展[J].电力系统自动化,2012, 36(18):10-16.YOU Yi, LIU Dong, YU Wenpeng, et al. Active distribution network technology and its progress[J].Automation of Electric PowerSystems, 2012, 36(18):10-16.
[9]姚建国,杨胜春,王珂,等.智能电网“源一网一荷”互动运行控制概念及研究框架[J].电力系统自动化,2012, 36(21):1-6.YAO Jianguo, YANG Shengchun, WANG Ke, et al. The concept and research framework of “source-net-holland”interactive operation control of smart grid[J]. Automation of Electric Power Systems, 2012, 36(21):1-6.
[10] CALLAWAY D S, HISKENS I A. Achieving controllability of electric loads[J]. Proceedings of the IEEE,2011,99(1):184-199.
[11]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.Review of research on power flexible load scheduling[J].Automation of Electric Power Systems, 2014, 38(20):127-135.
[12]赵波,王财胜,周金辉,等.主动配电网现状与未来发展[J].电力系统自动化,2014, 38(18):125-135.ZHAO Bo, WANG Caisheng, ZHOU Jinhui, et al. Current status and future development of active distribution network[J]. Automation of Electric Power Systems, 2014,38(18):125-135.
[13]于立杰,董沛毅.多端柔性直流配电网运行策略优化研究[J].智慧电力,2018,46(9):72-78.YU Lijie, DONG Peiyi. Study on operation strategy optimization of multi-terminal flexible DC distribution network[J]. Smart Power, 2018, 46(9):72-78.
[14]王庆丰,马少飞,刘强,等.基于帝国竞争算法的主动配电网多目标优化研究[J].智慧电力,2018, 46(8):74-78.WANG Qingfeng, MA Shaofei, LIU Qiang, et al. Multiobjective optimization of active distribution network based on empire competition algorithm[J]. Smart Power, 2018,46(8):74-78.
[15]张旭升,李瑞生,黄利军,等.基于分层储能的主动配电网需求响应控制策略研究及实现[J].电力系统保护与控制,2017, 45(15):40-49.ZHANG Xusheng, LI Ruisheng, HUANG Lijun, et al.Research and implementation of demand response control strategy for active distribution network based on hierarchical energy storage[J]. Power System Protection and Control, 2017, 45(15):40-49.
[16]刘爱华,王双虎,梁顺,等.工业园区主动配电网关键技术研究及应用[J].供用电,2017,34(7):21-27.LIU Aihua, WANG Shuanghu, LIANG Shun, et al.Research and application of key technologies for active distribution network in industrial parks[J]. Distribution&Utilization, 2017, 34(7):21-27.
[17]邢海军,程浩忠,张沈习,等.主动配电网规划研究综述[J].电网技术,2015,39(10):2705-2711.XING Haijun, CHENG Haozhong, ZHANG Shenxi, et al.Overview of active distribution network planning research[J]. Power System Technology,2015,39(10):2705-2711.
[18]蒋煜,丁晓群,郑程拓,等.含电动汽车的主动配电网分布式电源规划[J].广东电力,2017,30(7):1-6.JIANG Yu, DING Xiaoqun, ZHENG Chengtuo, et al.Distributed power supply planning for active distribution network with electric vehicles[J]. Guangdong Electric Power, 2017, 30(7):1-6.
[19]尤毅,刘东,钟清,等.主动配电网优化调度策略研究[J].电力系统自动化,2014, 38(9):177-183.YOU Yi, LIU Dong, ZHONG Qing, et al. Research on optimal scheduling strategy of active distribution network[J]. Automation of Electric Power Systems, 2014, 38(9):177-183.
[20]王健,谢桦,孙健.基于机会约束规划的主动配电网能量优化调度研究[J].电力系统保护与控制,2014, 42(13):45-52.WANG Jian, XIE Hua, SUN Jian. Research on energy optimization scheduling of active distribution network based on chance constrained programming[J]. Power System Protection and Control, 2014, 42(13):45-52.
[21]于汀,刘广一,蒲天骄,等.计及柔性负荷的主动配电网多源协调优化控制[J].电力系统自动化,2015, 39(9):95-100.YU Ting, LIU Guangyi, PU Tianjiao, et al. Multi-sourcecoordinated optimization control of active distribution network considering flexible load[J]. Automation of Electric Power Systems, 2015, 39(9):95-100.
[22]孟涛.主动配电网广义电源多目标优化配置与运行[D].吉林:东北电力大学,2016.
[23]司晶晶.基于PSO-BFO算法的主动配电网优化调度策略研究[D].兰州:兰州交通大学,2016.
[24]高尚,杨静宇.群智能算法及其应用[M].北京:中国水利水电出版社,2006.
[25]彭喜元,彭宇,戴毓丰.群智能理论及应用[J].电子学报,2003, 31(s1):1982-1988.PENG Xiyuan, PENG Yu, DAI Yufeng. Theory and application of group intelligence[J]. Chinese Journal of Electronics, 2003, 31(s1):1982-1988.
[26] SHI Y, EBERHART R. Modified particle swarm optimizer[C]. Anchorage:IEEE International Conference on Evolutionary Computation, 1998.
[27] SCHUTTE J F, REINBOLT J A, FREGLY B J, et al.Parallel global optimization with the particle swarm algorithm[J]. International Journal for Numerical Methods in Engineering, 2004, 61(13):2296-2315.