Research on Energy Optimization Scheduling Methods for Systems with Multiple Microgrids in Urban Areas
Abstract
As an emerging power system architecture, microgrids have garnered widespread attention. Energy optimization scheduling for urban systems with multiple microgrid integrations can ensure the reliability of power supply, achieve optimal energy allocation and utilization, and reduce the overall costs of the multi-microgrid system. This paper proposes an energy optimization scheduling method based on a bi-level optimization model using a CPLEX+PSO hybrid algorithm. The upper level aims to minimize the interaction power and its fluctuations between the multi-microgrid system and the distribution network, while the lower level aims to minimize the overall cost of the multi-microgrid system. Day-ahead scheduling is conducted based on predicted wind and solar load data. Using CPLEX to solve the upper and lower-level functions as a baseline, an evaluation function is introduced to select the optimal particles in the particle swarm algorithm, resulting in the optimal solution for the energy allocation scheme of the multi-microgrid system.