考虑运行风险的主动配电网分布式电源多目标优化配置
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摘要
考虑配电网运行中的不确定性,文章通过改进蒙特卡洛法生成大量预想事故集,利用潮流计算和拓扑分析得到接入分布式电源后系统运的行风险。提出一种考虑主动配电网运行风险的分布式电源多目标优化配置模型,将主动配电网运行带来的运行风险R_L与分布式电源运行成本C_(DG)作为目标函数,采用改进的粒子群算法对多目标优化模型进行求解,获得分布式电源安装位置和安装容量以及运行风险与运行成本之间的权衡关系。仿真算例表明,所提出的考虑主动配电网运行风险的分布式电源多目标优化配置方法,与单一只考虑经济性或者可靠性的优化模型相比更加合理,适用于分布式电源的优化选址和定容,验证了该模型的可行性。
Considering the uncertainty in the operation of distribution network, a risk assessment model is established to evaluate the system operation risk of accessing distributed power by the improved Monte Carlo method using the power flow calculation and topology analysis. A multi-objective optimal allocation model of distributed generation considering the operational risk of active distribution network is proposed. The operational risk R_L and operational cost C_(DG) of active distribution network operation are taken as objective functions. An improved particle swarm optimization algorithm is used to solve the multi-objective optimization model to obtain the configuration of distributed generation and the trade-off between operational risk and operating costs. The simulation results show that the proposed multi-objective optimal allocation method for distributed generation considering the operational risk of active distribution network is more reasonable than the single optimization model considering only economy or reliability. It is suitable for seeking the optimal location and capacity of distributed generation, and the feasibility of the model is verified.
Considering the uncertainty in the operation of distribution network, a risk assessment model is established to evaluate the system operation risk of accessing distributed power by the improved Monte Carlo method using the power flow calculation and topology analysis. A multi-objective optimal allocation model of distributed generation considering the operational risk of active distribution network is proposed. The operational risk R_L and operational cost C_(DG) of active distribution network operation are taken as objective functions. An improved particle swarm optimization algorithm is used to solve the multi-objective optimization model to obtain the configuration of distributed generation and the trade-off between operational risk and operating costs. The simulation results show that the proposed multi-objective optimal allocation method for distributed generation considering the operational risk of active distribution network is more reasonable than the single optimization model considering only economy or reliability. It is suitable for seeking the optimal location and capacity of distributed generation, and the feasibility of the model is verified.
引文
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[16] 吴小刚,刘宗歧,田立亭.基于改进多目标粒子群算法的配电网储能选址定容[J].电网技术,2014,38(12):3408-3410.WU Xiaogang,LIU Zongqi,TIAN Liting.Study on energy storage location and fixed volume of distribution network based on improved multi-objective particle swarm optimization algorithm[J].Power System Technology,2014,38(12):3408-3410.
[17] 胡晓通,刘天琪,何川,等.计及蓄电池损耗特性的微网多目标优化运行[J].中国电机工程学报,2016,36(10):2674-2681.HU Xiaotong,LIU Tianqi,HE Chuan,et al.Multi-objective optimization operation of microgrid considering battery loss characteristics[J].Proceedings of the CSEE,2016,36(10):2674-2681.
[18] 彭光斌,詹红霞,黄培东,等.基于自适应粒子群算法优化DG的配网静态电压稳定性提高策略[J].电力系统保护与控制,2017,45(8):100-106.PENG Guangbin,ZHAN Hongxia,HUANG Peidong,et al.Optimization of static voltage stability improvement strategy for distribution network based on adaptive particle swarm optimization algorithm[J].Power System Protection and Control,2017,45(8):100-106.
[2] 左伟杰,马钊,周莉梅,等.基于配电网电能质量健康评估策略的分布式光伏接入方法[J].电网技术,2015,39(12):3442-3448.ZUO Weijie,MA Zhao,ZHOU Limei,et al.Grid-connection of distributed photovoltaic generation method based on the power quality health status of distribution system[J].Power System Technology,2015,39(12):3442-3448.
[3] 吴万禄,韦钢,谢丽蓉,等.含分布式电源与充电站的配电网协调规划[J].电力系统保护与控制,2014,42(15):65-73.WU Wanlu,WEI Gang,XIE Lirong,et al.Coordinated planning of distribution network containing charging station and distributed generation[J].Power System Protection and Control,2014,42(15):65-73.
[4] 王威,黄大为.含可调度分布式电源的配电网综合优化[J].电工技术学报,2015,30(12):429-433.WANG Wei,HUANG Dawei.The coordination optimization of distribution networks with dispatched distributed generators[J].Transactions of China Electrotechnical Society,2015,30(12):429-433.
[5] LEES H,KANG Y C,PARK J W.Optimal operation of multiple DGs in DC distribution system to improve system efficiency[J].IEEE Transactions on Industry Applications,2016,52(5):3673-3681.
[6] 王秀丽,赵兴勇,曹建文,等.基于改进粒子群算法的分布式电源选址定容优化设计[J].大连理工大学学报,2014,54(3):355-360.WANG Xiuli,ZHAO Xingyong,CAO Jianwen,et al.Optimization design of distributed power source location based on improved particle swarm optimization algorithm[J].Journal of Dalian University of Technology,2014,54(3):355-360.
[7] 刘文霞,徐慧婷.考虑电压控制成本的分布式电源优化配置[J].电网技术,2016,40(10):2999-3004.LIU Wenxia,XU Huiting.Distributed power optimization configuration considering voltage control cost[J].Power System Technology,2016,40(10):2999-3004.
[8] 邓威,李欣然,李培强.基于互补性的间歇性分布式电源在配网中的优化配置[J].电工技术学报,2013,28(6):216-224.DENG Wei,LI Xinran,LI Peiqiang.Optimal configuration of intermittent distributed power supply based on complementarity in distribution network[J].Transactions of China Electrotechnical Society,2013,28(6):216-224.
[9] 丁冠华.含风电场的电力系统运行风险评估[D].北京:华北电力大学,2014:18-19.DING Guanhua.Risk assessment of power system operation with wind farm [D].Beijing:North China Electric Power University,2014:18-19.
[10] 王钰楠,杨镜非,何也帅,等.基于复杂网络理论的主动配电网多级运行风险快速评估[J].电力系统自动化,2016,40(14):65-71.WANG Yunan,YANG Jingfei,HE Yeshuai,et al.Rapid assessment of multi-level operational risk of active distribution network based on complex network theory[J].Automation of Electric Power Systems,2016,40(14):65-71.
[11] 邓奥攀,胡志坚,胡美玉,等.同时计及设备老化与不完全维修的电力系统可靠性评估[J].电力系统保护与控制,2017,45(3):69-74.DENG Aopan,HU Zhijian,HU Meiyu,et al.Reliability assessment of power system considering equipment aging and incomplete maintenance[J].Power System Protection and Control,2017,45(3):69-74.
[12] 丁明,王京景,李生虎.基于扩展拉丁超立方采样的电力系统概率潮流计算[J].中国电机工程学报,2013,33(4):163-170.DING Ming,WANG Jingjing,LI Shenghu.Probabilistic load flow evaluation with extended Latin hypercube sampling [J].Proceedings of the CSEE,2013,33 (4):163-170.
[13] 芦晶晶.电网运行可靠性快速评估算法及防御体系框架研究[D].北京:中国农业大学,2017.LU Jingjing.Research on rapid evaluation algorithm and defense system framework of grid operation reliability [D].Beijing:China Agricultural University,2017.
[14] 冯云斌,崔雪,王恒,等.基于改进果蝇优化算法的无功优化[J].武汉大学学报(工学版),2017,50(4):560-565.FENG Yunbin,CUI Xue,WANG Heng et al.Reactive power optimization based on improved fruit fly optimization algorithm[J].Journal of Wuhan University(Engineering Science),2017,50(4):560-565.
[15] 王凌纤,汪沨,陈春,等.计及运行风险的分布电源多目标优化配置[J].电力系统及其自动化学报,2015,27(10):22-24.WANG Lingxian,WANG Feng,CHEN Chun,et al.Multi-objective operational allocation of distribution generation with consideration of operational risk [J].Proceedings of the CSU-EPSA,2015,27(10):22-24.
[16] 吴小刚,刘宗歧,田立亭.基于改进多目标粒子群算法的配电网储能选址定容[J].电网技术,2014,38(12):3408-3410.WU Xiaogang,LIU Zongqi,TIAN Liting.Study on energy storage location and fixed volume of distribution network based on improved multi-objective particle swarm optimization algorithm[J].Power System Technology,2014,38(12):3408-3410.
[17] 胡晓通,刘天琪,何川,等.计及蓄电池损耗特性的微网多目标优化运行[J].中国电机工程学报,2016,36(10):2674-2681.HU Xiaotong,LIU Tianqi,HE Chuan,et al.Multi-objective optimization operation of microgrid considering battery loss characteristics[J].Proceedings of the CSEE,2016,36(10):2674-2681.
[18] 彭光斌,詹红霞,黄培东,等.基于自适应粒子群算法优化DG的配网静态电压稳定性提高策略[J].电力系统保护与控制,2017,45(8):100-106.PENG Guangbin,ZHAN Hongxia,HUANG Peidong,et al.Optimization of static voltage stability improvement strategy for distribution network based on adaptive particle swarm optimization algorithm[J].Power System Protection and Control,2017,45(8):100-106.