Reactive Power Optimization Loss Reduction Strategy in Distribution Station Area Considering Active Load Synergy

To further cut the active power network loss during the operation of the distribution station area, a reactive power optimization model with the expected network loss, voltage offset and the cost of voltage regulation measures as the objective functions(OFs), and full consideration of the optimal space of the active load and energy storage in the operation link, the reactive power generation capacity of the photovoltaic inverter, the action of the capacitor bank and the SVC gear constraints is built. In view of the slow convergence speed and low accuracy of the grey wolf algorithm (GWO), the characteristics of the search step length and the flexibility of the moving direction of the cuckoo search algorithm (CS) and the nonlinear weight strategy are introduced into the GWO, and the nonlinear weight improved grey wolf algorithm (NGWOCS) is obtained to improve the convergence speed and optimization accuracy of the algorithm. The rationality of the reactive power optimization model with active load and the superiority of the improved algorithm applied to the loss reduction in the distribution station area are verified through the simulation and comparison of the reactive power optimization loss reduction in a 17-node station area.