AUTHOR=Zhang Weiwei , Wang Shuliang 

TITLE=Optimal Allocation of BESS in Distribution Network Based on Improved Equilibrium Optimizer

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 10 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2022.936592

DOI=10.3389/fenrg.2022.936592

ISSN=2296-598X

ABSTRACT=battery energy storage system (BESS) can accommodate the uncertainties of renewable energy sources (RESs) and load demand. Proper allocation of BESS in the distribution network (DN) can bring cost-effectiveness and enhance system stability. To realize reliable and economic operation of BESS in the DN, a multi-objective optimization model for optimal BESS allocation is established, which aims at minimizing the annual overall cost of the whole system, including life cycle cost (LCC), power loss cost, peak-shaving cost, tie-line fluctuation penalty, and voltage deviation penalty. And then, a novel implementation of improved equilibrium optimizer (IEO) algorithm is proposed to solve the optimal BESS allocation scheme. In order to verify the effectiveness of the proposed method, the simulation experiment based on the IEEE 33-bus test system is performed. Simulation results prove that IEO algorithm is capable of rapidly stable convergence and efficiency searching of optimum in the multi-dimensional space. By the end of iteration, annual overall cost of the whole system records a minimum value with $1.8692e+06 every year. A meticulous techno-economic analysis demonstrates that the obtained BESS allocation scheme not only effectively ensures cost-effectiveness of BESS, but also significantly reduces power loss, load peak-valley difference, tie-line power fluctuation and voltage deviation.