Cooperative Multi-Objective Optimization of DC Multi-Microgrid Systems in Distribution Networks

By constructing a DC multi-microgrid system (MMGS) including renewable energy sources (RESs) and electric vehicles (EVs) to coordinate with the distribution network, utilization rate of RESs can be effectively improved carbon emissions reduced. To improve economy MMGS reduce network loss cooperative double-loop optimization strategy is proposed. The inner-loop economic dispatching reduces daily operating cost by optimizing active power output RESs, EVs, DC/AC converters in MMGS. outer-loop reactive bidirectional converters. double-loop, which synergistically optimizes MMGS, not only improves operational effectiveness but also realizes low-carbon emissions. Across-time-and-space transmission (ATSET) EVs considered, whose impact on analyzed. Particle Swarm Optimization (PSO) applied iterative solutions. Finally, rationality feasibility multi-objective model are proved revised IEEE 33-node system.