Intra-Day Dynamic Network Reconfiguration Based on Probability Analysis Considering the Deployment of Remote Control Switches

Zifa Liu,Yunyang Liu,Gaoqiang Qu,Xuyang Wang,Xinyue Wang

doi:10.1109/access.2019.2944917

Abstract

With the continuous development of renewable distributed generation (DG) in distribution network, the effective integration of DGs to make system operation safe and economic has become a major concern. Dynamic network reconfiguration, which relies on the remote control switches, is being considered as an efficient method to solve the above problem. An optimal model of intra-day dynamic reconfiguration is proposed to maximize the accommodation revenue of DGs and minimize the operation cost of distribution network considering the deployment constraint of remote control switches. Besides the traditional constraints, the number of remote control switches and their action times are considered as the constraints and checked before calculating the reconfiguration model which can improve the efficiency of reconfiguration. In order to solve the dynamic reconfiguration model, time period reduction strategy and decimal coding strategy are developed to improve the coding efficiency, and tree coding is adopted to test the radiation of distribution network. In addition, a probabilistic analysis method is used to deal with the randomness of DGs. Finally, the feasibility and effectiveness of the proposed model are verified by the IEEE33 node system.

Highlights

The energy shortage and environmental pollution are becoming more and more serious due to the large consumption of traditional energy [1]
The network reconfiguration is affected by a large number of distributed generation (DG) integrated into the distribution network, and the operation cost is much higher because of the excessive action number of remote control switch, which causes the
In the worst-case analysis method, the lower bound of the DG output estimate in each period is used in the intra-day dynamic reconfiguration model to solve the problem

Summary

INTRODUCTION

The energy shortage and environmental pollution are becoming more and more serious due to the large consumption of traditional energy [1]. As for the solution of dynamic reconfiguration model, the problems such as the randomness of DG output power, and the deployment of remote control switches are needed to be considered. Stochastic model predictive control was applied to deal with the uncertainty and randomness of new energy output in intra-day dynamic reconfiguration in [16]. An intra-day dynamic reconfiguration model is established considering the accommodation of DG integration and the operation cost of distributed network. An intra-day dynamic reconfiguration model based on probabilistic analysis is established to optimize the operation of network in one day. 2. The remote control switch constraint is proposed according to the time period reduction strategy. The total output of DGs is sampled randomly in each time period according to the distribution obtained by the above method. The scenes of 24-hour periods of DG output prediction value are carried out, and the scene set SCt (∀t∈T) of each time period is obtained

OBJECTIVE FUNCTION

Findings

CONCLUSION