Multi-objective day-ahead scheduling of active distribution network considering network reconfiguration and distributed generation reactive power characteristics
FANG Jialiang1， ZHA Liangwei1， LI Zhi1， LIU Lianyuan2， DENG Xiangtian2
1.State Grid Ningbo Electric Power Company， Ningbo， Zhejiang 315000， China；2.Automation， Wuhan University of Technology，Wuhan 430070， China
Abstract：The optimal scheduling scheme is the core of economic operation for Active Distribution Network (ADN). Considering the distribution reconfiguration and the reactive power characteristics of distributed generations， a day-ahead scheduling scheme of ADN is proposed； besides， a multi-objective optimization model is established which contains the minimization of the distribution economic operation cost and network loss. In the proposed scheme， the influence of network topology changes on resource scheduling results is considered； and the reactive power characteristics of distributed generation is reasonably utilized， especially the reactive power support of the wind and solar power which are generally ignored. The proposed scheme seeks to determine the optimal dispatches of distributed generation， participation of responsive loads and the optimal network topology at each time interval in a day. The optimization model is formulated as a nonlinear optimization problem and solved with gravitation search algorithm. Finally， a modified PG&E-69 bus distribution network is employed to verified the validity of the proposed scheme.
2018, Vol. 52 
