Multi-Scenario and Multi-Objective Collaborative Optimization of Distribution Network Considering Electric Vehicles and Mobile Energy Storage Systems

Li Tong,Shen Zhao,Hang Jiang,Jinhui Zhou,Bin Xu

doi:10.1109/access.2020.3026204

Abstract

Due to the short-term large-scale access of renewable energy and residential electric vehicles in residential communities, the voltage limit in the distribution network will be exceeded, and the quality of power supply will be seriously reduced. Therefore, this paper introduces the mobile energy storage system (MESS), which effectively solves the problem of overvoltage limit caused by the large number of distributed power sources and household electric vehicles in the distribution network. This paper proposes an optimal scheduling model for distribution network based on mobile energy storage system. First, the space-time energy transfer model of mobile energy storage is established, and the transfer cost of MESS and the income of peak shaving and valley filling are considered. According to daily driving data of household electric vehicle (EV), a prosumer group electric vehicle charging and discharging model is established; After that, by establishing a target model for maximizing MESS operating income and penalizing voltage overshoot under different scenarios such as low peak load of electric vehicles and different initial capacities of MESS, a multi-scenario multi-objective collaborative optimization model for the distribution network is established; Finally, an improved IEEE33-bus system is used to analyze the calculation example. The results of the calculation example show that the optimal scheduling model in this paper can improve the photovoltaic consumption capacity and improve the voltage limit problem, which verifies the effectiveness and economy of the scheduling model.

Highlights

As global fossil reserves may be reduced by about two-thirds in the 50 years, from about 39 trillion US dollars to 14 trillion US dollars in value, oil, natural gas and coal businesses are becoming increasingly unprofitable
This paper establishes the spatiotemporal energy transfer model of mobile energy storage and the charging and discharging model of the residential electric vehicle group, and considers the access of new energy sources such as photovoltaics to optimize the joint optimization of mobile energy storage system (MESS) and EV, and proposes that photovoltaic output is the highest in multi-scenario and multi-objective collaborative optimization model with the goal of minimizing voltage overruns and minimizing MESS operating costs
1) Comprehensively considering the characteristics of energy storage and space-time position transfer of MESS, the space-time dynamic transfer model of mobile energy storage system based on MESS charge and discharge constraints and path transfer cost is established, and the path transfer model and cost model are proposed

Summary

Introduction

As global fossil reserves may be reduced by about two-thirds in the 50 years, from about 39 trillion US dollars to 14 trillion US dollars in value, oil, natural gas and coal businesses are becoming increasingly unprofitable. MULTI-SCENARIO AND MULTI-OBJECTIVE OPTIMIZATION SCHEDULING CONSIDERING ELECTRIC VEHICLES AND MOBILE ENERGY STORAGE Based on the charging and discharging models of MESS and EV, this paper comprehensively considers the mobile cost and peak-shaving and valley-filling benefits of MESS, and establishes establish the optimization scheduling model of the distribution network MESS with the goal of maximizing photovoltaic output, minimizing operating costs and minimum voltage overruns.

Results

Conclusion