Research on distributed energy storage connecting to remote mountainous distribution network planning

Aiming to optimize the planning of integrating distributed energy storage into remote mountainous distribution networks, this paper proposes an energy storage gridconnection planning method that considers both economic efficiency and system reliability. The proposed method sets maximizing energy storage capacity, minimizing investment and operation maintenance costs, and reducing network losses as its economic objectives. Voltage deviation and voltage fluctuation indices are used as planning constraints to establish a multi-objective optimization model for the integration of distributed energy storage into remote mountainous distribution networks. The multi-objective artificial hummingbird algorithm (MOAHA) is employed to solve the planning model. Finally, the effectiveness of the proposed model is validated using actual data from a remote mountain area in northwest China and the IEEE 33 bus distribution network system. Simulation results demonstrate that through optimal configuration of the energy storage system, the voltage deviation at the end of the distribution network is reduced by 3.7 %, and the total active power loss of the system is reduced by 37.91 %, it can achieve the purpose of improving the voltage quality of the distribution network in remote mountainous areas while ensuring the economic efficiency of energy storage.