Optimization Scheduling of Distribution-Side Multi-Microgrid Alliances with the Participation of Electric Vehicle Shared Energy Storage

To reduce the upfront investment of energy storage equipment and promote the local consumption of new energy, as well as to address the optimization problem of Distribution-Side Multiple Microgrid Integrated Energy Systems (MMIES) with source and load uncertainty, this paper proposes an optimization scheduling model that uses the dispatchable potential of electric vehicle (EV) clusters invoked by multi-microgrid alliance as shared energy storage to participate in peak regulation and scheduling of distribution network. Firstly, MMIES forms an alliance through electric vehicle shared energy storage power station. Secondly, considering the uncertainty on both sides of source and load, a fuzzy opportunity constraint model with carbon trading mechanism is constructed. Thirdly, a collaborative scheduling model of active distribution network (ADN) with multi-microgrid alliance is established, considering comprehensive scheduling cost, comprehensive vulnerability and load curve variance. Finally, Analysis Target Cascading (ATC) combined with Cplex is used for solving. The proposed optimization operation model is verified and analyzed in the improved IEEE33 node system.