摘要
微电网发生故障时需要进行网络重构。为了提高微电网重构的效率,提出了一种基于深度置信网络(deep belief networks,DBN)的微电网分级优化重构方法。该方法将DBN引入到分级优化算法中,将网络重构过程中不涉及潮流计算的寻优过程放在第一级处理,在第二级优化过程中使用训练好的DBN,直接输出网损、平衡节点功率和电压结果,节省计算时间;另外还提出一种综合评估方法,对于DBN的输出结果,决策者可以根据层次分析法(AHP)改变综合评估函数中不同指标的权值系数,从而得到不同的重构方案,实现决策的多样化。最后,在MATLAB中搭建改进的IEEE 33节点微电网系统进行仿真实验,通过对比所提算法和在线计算潮流的分级优化算法,结果表明所提算法可以得到相同的重构方案,但是计算时间仅为在线计算潮流方法的七十分之一,此外,根据本文设定的综合评估方法,仿真结果表明当对输出结果有不同的侧重点时,可以得到不同的重构方案,从而实现重构结果综合最优。
When faults occur in microgrids(MGs),MG reconfiguration is required.To improve the efficiency of reconfiguration,a hierarchical optimization method for MG reconfiguration is proposed,where deep belief networks(DBNs),a typical model for deep learning,is introduced,which offers a way to avoid calculating power flow in the process of the MG reconfiguration.In this method,the first level optimization is obtaining the on/off status of breakers based on the supply-demand balance in MGs.In the second level optimization,the trained DBNs are used to obtain network losses and node voltages,etc.,when the on/off status of breakers,are given to the DBNs,which is a good way to reduce time of reconfiguration.In addition,an evaluation method is also proposed,where the analytic hierarchy process(AHP)is employed to adjust the weights of preferences in a comprehensive evaluation function,so it offers the diversity of decisions for the MG reconfiguration.Finally,to test the proposed method,a modified IEEE 33-bus system is built in MATLAB for simulations.Compared to those methods where power flow is recalculated under different on/off status of breakers,our method can obtain the same reconfiguration scheme,but the time of reconfiguration is only one-seventieth of that of other methods.Furthermore,in terms of the proposed evaluation method,reconfiguration schemes can be selected under different preferences.
作者
周伟豪
林加阳
易永利
吴堃铭
陈民铀
ZHOU Weihao;LIN Jiayang;YI Yongli;WU Kunming;CHEN Minyou(State Key Laboratory of Power Transmission Equipment&System Security and New Technology,Chongqing University,Chongqing 400044,China;Wenzhou Power Supply Company of State Grid Zhejiang Electric Power Company,Wenzhou,Zhejiang 325401,China)
出处
《南方电网技术》
CSCD
北大核心
2021年第9期35-44,共10页
Southern Power System Technology
基金
国网浙江省电力有限公司科技项目“考虑海岛负荷暂态特性的微电网黑启动控制策略关键技术研究与工程应用”(5211WZ18007G)。
关键词
微电网
网络重构
分级优化
深度置信网络
microgrid
network reconstruction
hierarchical optimization
deep belief networks(DBN)
作者简介
周伟豪(1996),男,硕士研究生,研究方向为微电网优化、控制与电网重构,whzhou11@163.com;林加阳(1971),男,工程师,硕士,研究方向为微电网规划与控制,linjiay1@126.com;易永利(1983),男,高级工程师,硕士,研究方向为微电网规划与控制,xkqklzl@163.com。
