Multi-objective Optimal Operating Strategy of Distribution Network Considering V2G on the Basis of Grouping Method of Electric Vehicles

doi:DOI： 10.3969/j.issn.1000-7229.2018.08.008

Abstract

Abstract: Disordered charging of electric vehicles and the fluctuation of distributed energy resources may do harm to the distribution network. An operating strategy of distribution network considering V2G on the basis of grouping method of electric vehicles is proposed to reduce the influence. An internal and external nested model is built on the basis of two aspects of macroscopic system and network topology. Cost of owners, standard deviation of distribution network and network losses are considered as objectives. In this model, distributed energy resources, distribution network and vehicles are optimized correspondingly. The optimal operating states can be gotten by the coordination of vehicles and the resources. To meet owners mobility needs, a grouping method based on two eigenvalues is proposed, which are the moment of starting to charge and the time that is needed to get owners expected charge state. Thus, dimensions of variate are decreased. Case analyses in four scenarios are solved by GA-PSO algorithm. The strategy is proved to ensure the benefit of owners, decrease load level, stabilize load fluctuations, abate difference of peak and valley load, improved voltage level and reduce network losses.

Key words: electric vehicles, distributed energy resource, grouping method, GA-PSO algorithm, distribution network, operating strategy

CLC Number:

TM 732

MEI Zhe, ZHAN Hongxia, YUAN Jihe2 HUANG Hu, ZHANG Xi, DENG Qiang. Multi-objective Optimal Operating Strategy of Distribution Network Considering V2G on the Basis of Grouping Method of Electric Vehicles[J]. Electric Power Construction, 2018, 39(8): 59-68.

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