Multi-objective extended reactive power optimization in distribution network with photovoltaic-storage systems

More and more photovoltaic (PV)-storage systems are embedded to distribution networks (DNs), followed by new challenges to its optimal dispatches. A multi-objective extended reactive power optimization (MERPO) model for DNs with embedded PV-storage systems is proposed in the paper. In this model, minimum power loss and voltage violation risk are set as objectives. Meanwhile, unlike traditional reactive power optimization models, the active and reactive power regulation capability of PV-storage systems is considered. The genetic algorithm NSGA-II is implemented to perform the optimization and the Pareto front of objective function can be worked out. The best compromise solution is achieved by fuzzy method. The simulation results demonstrate that the proposed EMRPO model can realize the coordinated optimization of active and reactive power flow and enhance the voltage safety margin while tapping the potential for reducing loss in DNs.