Bi-Level Optimization Strategy of Electric Vehicle Charging Based on Electricity Price Guide

doi:10.3969/j.issn.1000－7229.2018.01.006

Abstract

Abstract: ABSTRACT： This paper establishes a bi-level optimization model for electric vehicle charging based on electricity price guide. In the upper model, the variance of the total load of the power system is minimized by optimizing the dispatching plan of the aggregator in each period. In the lower model, the aggregator guides the users to adjust the charging plan by setting the charging price, to coincide with the upper dispatching plan. We use genetic algorithm to solve the model iteratively. The results show that, compared with disordered charging, the variance of the total load of the system decreases obviously and the fluctuation of the system is reduced after the optimization of the charging load of electric vehicle. It is proved that the proposed optimization model can achieve the dispatching of the system in upper layer and the autonomous response of electric vehicle in lower layer.

Key words: , HU Dequan, GUO Chunlin, YU Qinbo, YANG Xiaoyan

CLC Number:

TM 711

HU Dequan, GUO Chunlin, YU Qinbo, YANG Xiaoyan. Bi-Level Optimization Strategy of Electric Vehicle Charging Based on Electricity Price Guide[J]. Electric Power Construction, 2018, 39(1): 48-.

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