DOI:10.1007/s40565-017-0310-3 Optimal allocation of hybrid energy storage for microgrids based on multi-attribute utility theory Page view:         Net amount: 191 Authros: Xiaoshan FENG1, Jie GU1, Xuefei GUAN2 Author Affiliation: 1. School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; 2. Research Center of New Technology, Shanghai Electric Power Design Institute, Shanghai 200025, China Foundation: Science and Technology Foundation of State Grid Corporation of China (No. 520940120036) and the Key Project of the National Twelfth-Five Year Research Programme of China (No. 2013BAA01B04) Abstract: 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 evaluated. The multiattribute utility method investigated in this paper is aimed to draw an overall conclusion for HESS allocation optimization in microgrid. Building on multi-attribute utility theory, this method has significant advantages in solving the incommensurability and contradiction among multiple attributes. Instead 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 objectively. Also, the proper utility function and merging rules are identified to achieve the aggregate utility which can reflect comprehensive qualities of HESSs. Keywords: Hybrid energy storage system (HESS), Capacity optimization, Multi-attribute utility theory, HESS combination evaluation, Utility function               Online Time:2018/01/23 View Full Text       Download reader