Location and Capacity Determination of Energy Storage System Based on Improved Whale Optimization Algorithm

Considering the randomness and fluctuation of power generation by new energy, and the influence of its access on the stability of power system, an optimization model of location and capacity selection of energy storage power systems is established with the voltage deviation of system nodes, network loss and the scale of energy storage as the objective functions. A weight coefficient is introduced to improve whale optimization algorithm, which can avert the algorithm entering local optimum and increase the computation rate. The good performance of the improved whale optimization algorithm is verified by MATLAB simulation. Taking IEEE-33 bus system with new energy generation to carry out the simulation analysis of the example and the improved whale optimization algorithm is used for verification. The results show that the energy storage systems location and capacity determination results solved by this algorithm can be connected to the energy storage, which can better reduce the voltage fluctuation and active power network losses of the system, improve the working effect of new energy power generation, and reduce the impact of power fluctuations on the system. © The Authors.