Pre-selection scheme evaluation of hybrid energy storage for distribution network based on utility combination method

Hybrid energy storage (HES) technology can effectively improve the power supply reliability of distribution network. However, due to the diverse technical characteristics of different energy storage systems, how to make reasonable pre-selection configuration of HES become a challenge in current configuration of HES. Based on the comprehensive evaluation methods of analytic hierarchy process (AHP), entropy weight method (EWM) and technique for order preference by similarity to an ideal solution (TOPSIS), this study proposes the improved utility combination rules to calculate the utility values of HES schemes and eliminate the influence of the diverse characteristics of energy storage types on the evaluation results. Then, an evaluation system including 11 indexes and 10 types of energy storage technologies is established, and the technical characteristics of up to 889 HES pre-selection schemes are evaluated. The calculation time of the proposed method is <0.3 s. With an IEEE RBTS-BUS6 distribution network, the sequential Monte Carlo (SMC) method is used to simulate and verify the power supply reliability of the distribution network. The results show that the HES scheme obtained by the proposed evaluation method is optimal with the highest power supply reliability of 99.9625 % in the SMC simulation, which can provide method support with the higher credibility for the pre-selection of HES schemes.