Optimal allocation of hybrid energy storage for microgrids based on multi-attribute utility theory

作     者：Xiaoshan FENG Jie GU Xuefei GUAN 

作者机构：School of Electronic Information and Electrical EngineeringShanghai Jiao Tong University Research Center of New Technology Shanghai Electric Power Design Institute 

出 版 物：《Journal of Modern Power Systems and Clean Energy》 (现代电力系统与清洁能源学报（英文）)

年 卷 期：2018年第6卷第1期

页      面：107-117页

核心收录：

学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学] 

基　　金：supported by Science and Technology Foundation of State Grid Corporation of China (No.520940120036) the Key Project of the National Twelfth-Five Year Research Programme of China (No.2013BAA01B04) 

主　　题：Hybrid energy storage system(HESS) Capacity optimization Multi-attribute utility theory HESS combination evaluation Utility function 

摘      要：To satisfy the requirements of high energy density,high power density,quick response and long lifespan for energy storage systems(ESSs),hybrid energy storage systems(HESSs)have been investigated for their complementary characteristics of‘high energy density components’and‘high power density components’.To optimize HESS combinations,related indices such as annual cost,fluctuation smoothing ability as well as safety and environmental impact have to be *** multiattribute utility method investigated in this paper is aimed to draw an overall conclusion for HESS allocation optimization in *** on multi-attribute utility theory,this method has significant advantages in solving the incommensurability and contradiction among multiple *** of determining the weights of various attributes subjectively,when adopting the multi-attribute utility method,the characteristics of attributes and the relation among them can be investigated ***,the proper utility function and merging rules are identified to achieve the aggregate utility which can reflect comprehensive qualities of HESSs.