Study on photovoltaic and Energy Storage Locating and Sizing for Distribution Network Based on Multi-Objective Non-Cooperative Game

As more and more people use small-scale power generation, improving solar power technology is very important for changing the distribution network. To use solar power effectively, we need to address the issues of where to place solar panels and how much power they can connect to the electricity network along with storage systems. Therefore, a new way is suggested to improve how we choose locations and set up solar panels and storage in the electricity distribution system. First, using a non-collaborative game theory method, a streamlined approach has been formulated for determining ideal locations and managing the capacity of solar energy and storage systems within a power distribution network. Then, the Multi-objective Particle Swarm Optimization(IMOPSO) algorithm was used to solve the problem. The use of a Pareto solution in IMOPSO aids in discovering the ideal solution tailored to each individual optimal. The global optimal solution is found through the entropy weight TOPSIS method. Finally, the IEEE 33-buses power distribution system is used as an example for simulation verification. The results indicate that the method suggested in this paper works well for finding the best locations and sizes for energy storage systems.