NSGA-II multi-objective optimization regional electricity price model for electric vehicle charging based on travel law

Electric vehicle is the key technology to tackle the issue of energy and emissions, a great number of EVs connected to the grid will negatively impact on the economic operation of the grid. Based on the statistics of electric vehicle travel rules, this paper used NSGA-II multi-objective optimization algorithm to establish a regional electricity price model. The goal is to reduce the peak load through electricity consumption time and ensure the interests of operators, The effectiveness of the algorithm is verified by an example of a certain area in Shandong Province. The algorithm did not change the space-time distribution of existing charging stations, and only used the regional electricity price to adjust the charging load of electric vehicles, which has high practical significance. (C) 2021 The Author(s). Published by Elsevier Ltd.

Automated summary

This study establishes a regional electricity price model using the NSGA-II multi-objective optimization algorithm to reduce peak load through electricity consumption time while ensuring the interests of operators. The effectiveness of the algorithm is verified by an example in Shandong Province, demonstrating its practical significance in adjusting the charging load of electric vehicles without altering the space-time distribution of existing charging stations.