The Optimal Configuration of Energy Storage Capacity Based on the NSGA-II Algorithm and Electrochemical Energy Storage Operational Modes

Due to the intermittency and volatility of renewable energy generation, the safe and stable operation of the power system is affected, leading to issues such as frequency deviations in the grid and voltage exceeding limits during grid connection. Therefore, energy storage is required to smooth out the fluctuations of renewable energy and facilitate its absorption. This paper studies the capacity optimization allocation of electrochemical energy storage on the new energy side and establishes the capacity optimization allocation model on the basis of fully considering the operation mode of electrochemical energy storage. Aiming at maximum net benefit and minimum grid-connected fluctuation, the model considers the constraints of energy storage capacity and power upper and lower limits, charge and discharge power constraints and state of charge constraints, and adopts the NSGA-II method (Non-dominated Sorting Genetic Algorithm II) to solve it. The example analysis shows that the energy storage configuration scheme can take into account the effect of smoothing fluctuation and economy by adopting the strategy proposed in this paper, ensuring the maximum life of energy storage based on the electrochemical energy storage operation mode. It is verified that the proposed strategy can increase the life of energy storage by 3 times.