主动配电网日前-实时优化调度策略研究
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摘要
负荷预测和分布式电源出力预测的误差会对主动配电网调度策略产生影响,为了减小这种影响,提出了主动配电网日前-实时优化调度策略,包括日前优化调度和实时优化调度。日前优化调度的目标函数是基于配电网运行成本最低,建立的优化调度模型;实时调度是配电网的节点电压差和分布式电源功率波动最小作为目标函数,建立了实时滚动优化模型。为了解决实时调度目标函数的非线性关系,引入了灵敏系数矩阵使目标函数线性化。本文建立了混合整数规划模型,运用优化规划软件CPLEX对该模型进行求解。将建立的最优调度模型应用于IEEE34节点配电网系统,结果表明:运用所建立的优化调度策略能够有效减少配电网的运行成本;减少了电压越限的可能性;对分布式电源的出力进行了合理的分配,使得越限的电压恢复到正常范围内。
The load forecasting and the error of distributed power output prediction will affect the active distribution network scheduling strategy. In order to reduce this impact, the active distribution network day-real-time optimization scheduling strategy is proposed, including the day-ahead optimization scheduling and real-time optimization scheduling. The objective function of the optimized scheduling is based on the lowest operating cost of the distribution network, and the optimal scheduling model is established. The real-time scheduling is the objective function of the voltage difference and power minimum of the distribution network, and real-time rolling optimization model is established. In order to solve the nonlinear relationship of the real-time scheduling objective function, a sensitivity coefficient is introduced to linearization the objective function. A mixed integer programming model is established, and the model is solved by the optimization planning software CPLEX. The established optimal scheduling model is applied to the IEEE34 node distribution network system and the model is analyzed. The results show that:Using the optimized scheduling strategy can effectively reduce the operating cost of the distribution network; reduce the possibility of voltage over-limit; rationally distribute the output of the distributed power supply, so that the voltage exceeding the limit can be restored to the normal range.
The load forecasting and the error of distributed power output prediction will affect the active distribution network scheduling strategy. In order to reduce this impact, the active distribution network day-real-time optimization scheduling strategy is proposed, including the day-ahead optimization scheduling and real-time optimization scheduling. The objective function of the optimized scheduling is based on the lowest operating cost of the distribution network, and the optimal scheduling model is established. The real-time scheduling is the objective function of the voltage difference and power minimum of the distribution network, and real-time rolling optimization model is established. In order to solve the nonlinear relationship of the real-time scheduling objective function, a sensitivity coefficient is introduced to linearization the objective function. A mixed integer programming model is established, and the model is solved by the optimization planning software CPLEX. The established optimal scheduling model is applied to the IEEE34 node distribution network system and the model is analyzed. The results show that:Using the optimized scheduling strategy can effectively reduce the operating cost of the distribution network; reduce the possibility of voltage over-limit; rationally distribute the output of the distributed power supply, so that the voltage exceeding the limit can be restored to the normal range.
引文
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[2]黄伟,熊伟鹏,华亮亮,等.基于动态调度优先级的主动配电网多目标优化调度[J].电工技术学报,2018,33(15):3486-3498.HUANG Wei,XIONG Wei-peng,HUA Liang-liang,et al.Multi-objective optimization dispatch of active distribution network based on dynamic schedule priority[J].Transactions of China Electrotechnical Society,2018,33(15):3486-3498.
[3]尤毅,刘东,钟清,等.主动配点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 schedule strategy for active distribution network[J].Automation of Electric Power Systems,2014,38(9):177-183
[4]邢海军,洪绍云,范宏,等.面向“源-网-荷-储”的主动配电网优化重构及协调调度研究[J].电力建设,2018,39(8):18-23.XING Hai-jun,HONG Shao-yun,FAN Hong,et al.Optimal reconfiguration and coordinated scheduling of active distribution network considering“Generation-grid-load-energy storage”[J].Electric Power Construction,2018,39(8):18-23.
[5]黄伟,葛良军,华亮亮,等.基于概率潮流的主动配电网日前-实时两级优化调度[J].电力系统自动化,2018,42(12):51-57+105.HUANG Wei,GE Liang-jun,HUA Liang-liang,et al.Day-ahead and real-time optimal scheduling for active distribution network based on probabilistic power flow[J].Automation of Electric Power Systems,2018,42(12):51-57+105.
[6]黄伟,李宁坤,李玟萱,等.考虑多利益主体参与的主动配电网双层联合优化调度[J].中国电机工程学报,2017,37(12):3418-3428+3669.HUANF Wei,LI Ning-kun,LI Wen-xuan,et al.Bi-level joint optimization dispatch of active distribution network considering the participation of multi-stakeholder[J].Proceedings of the CSEE,2017,37(12):3418-3428+3669.
[7]ELTANTAWY A B,SALAMA M M A.Management Scheme for Increasing the Connectivity of Small-Scale Renewable DG[J].IEEE Transactions on Sustainable Energy,2014,5(4):1108-1115.
[8]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 Ning-kun,TIAN Yu-zhou,et al.Research on day-ahead and real-time schedule strategy for ADN[J].Modern Electric Power,2017,34(3):52-59.
[9]高亚静,李瑞环,梁海峰,等.考虑间歇性电源与负荷不确定性情况下基于多场景技术的主动配电系统两步优化调度[J].中国电机工程学报,2015,35(7):1657-1665.GAO Ya-jing,LI Rui-huan,LIANG Hai-feng,et al.Two step optimal dispatch based on multiple scenarios technique considering uncertainties of intermittent distributed generations and loads in the active distribution system[J].Proceedings of the CSEE,2015,35(7):1657-1665.
[10]肖浩,裴玮,孔力.含大规模电动汽车接入的主动配电网多目标优化调度方法[J].电工技术学报,2017,32(S2):179-189.XIAO Hao,PEI Wei,KONG Li.Multi-objective optimization scheduling method for active distribution network with large scale electric vehicles[J].Transactions of China Electrotechnical Society,2017,32(S2):179-189.
[11]贾先平,邹晓松,袁旭峰,等.含柔性负荷的主动配电网优化模型研究[J].电测与仪表,2018,55(13):46-52+116.JIA Xian-ping,ZOU Xiao-song,YUAN Xu-feng,et al.Study on optimal model of active distribution network with flexible load[J].Electric measurement and instrumentation,2018,55(13):46-52+116.
[12]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 Jia-yi,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.