Urban electric vehicle charging network planning method considering multiple optimization targets simultaneously

Abstract

The invention relates to an urban electric vehicle charging network planning method considering multiple optimization targets simultaneously. According to the method, for multiple construction schemes of an electric vehicle charging network in a to-be-planned traffic system, a planning model considering two optimization targets of the charging service capacity and the distribution network loss is built for each construction scheme, the construction scheme of charging service capacity maximization and urban distribution network loss minimization is solved and obtained to serve as the optimal urban electric vehicle charging network planning scheme. Accordingly, two sub optimization targets in the model are subjected to fuzzification separately, and an original optimization model is converted into a single target optimization problem based on maximum satisfaction. At last, the urban electric vehicle charging network planning model is solved through a genetic algorithm based on real number encoding. By means of the method, the practical value of the planning model is guaranteed, the obtained optimization result is more reasonable and convincing.

Description

technical field [0001] The invention relates to a method for reasonably planning a charging network of an electric vehicle in a city. Background technique [0002] In recent years, with the gradual depletion of fossil energy and the increasing environmental pollution, major economies in the world have given strong support to the development of clean energy vehicles represented by electric vehicles. Stimulated by relevant policies, my country's electric vehicles are also being gradually promoted. In 2012, my country sold 12,791 new energy vehicles, of which 11,375 were pure electric vehicles. In 2013, the sales volume reached 17,600. In 2014, the sales volume of electric vehicles exceeded 75,000. In 2012, the Ministry of Science and Technology issued the "Twelfth Five-Year Special Plan for the Development of Electric Vehicle Science and Technology", which proposed to build a network consisting of 400,000 charging piles and 2,000 charging stations in more than 20 demonstration...

AI Technical Summary

Problems solved by technology

[0005] It can be seen from the above literature that in the existing planning methods for urban electric vehicle charging network, the planning goal is single, and many factors such as traffic road network, power network, and user demand cannot be considered comprehensively, so the optimization results obtained are relatively simple. Unconvincing

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