Research on Planning and Configuration of Multi-objective Energy Storage System Solved by Improved Ant Colony Algorithm

Abstract

High-permeability renewable energy output exceeds consumptive capability of distribution network, which leads to tidal current countercurrent and voltage rise or even overvoltage. Improving the local consumption rate of renewable energy in distribution network is getting more and more attention. The local consumption rate is related to the matching degree of the power output characteristics and the load characteristics. Energy storage system has bi-directional flow characteristics of energy, which provides more flexibility for the distribution network to absorb renewable energy locally. However, the cost of energy storage system is high at present, and the economic efficiency of blindly increasing energy storage capacity to improve local renewable energy consumption is poor. Therefore, reducing construction costs of energy storage system is the key to optimizing planning and configuration of energy storage capacity. In this paper, the energy balance of charge and discharge in a typical day is taken as constraints. A solution model of energy storage dynamic planning and configuration based on bi-objective with minimum capacity and charging and discharging power is established. Through an improved ant colony algorithm based on stratified sequencing method, the multi-objective optimal planning and configuration is realized by finding the optimal solution of energy storage power in the optimal target constraint of energy storage capacity. For planning and configuration of multi-objective energy storage system, the feasibility and effectiveness of the improved ant colony optimization algorithm are verified by an example.