Improved HSO-Based Collaborative Scheduling Technology for Source–Load–Storage in Active Distribution Networks

Active distribution networks (ADNs) with high penetration of renewable energy face the difficulty of coordinating source-side generation, load-side response, and storage-side regulation. An improved-harmony search optimization (improved-HSO) based collaborative scheduling technology for source–load–storage in ADNs is proposed to solve the problems of high operation cost and insufficient resource coordination caused by fluctuations in wind power, photovoltaic output and load demand. A coordinated scheduling model is constructed with the objective of minimizing the total operation cost. Wind power, photovoltaic generation, energy storage system (ESS), and demand response (DR) are considered in the model. The carbon emission cost is also included in the objective function. An improved-HSO algorithm with adaptive search, adaptive mutation, simulated annealing acceptance and elite preservation is proposed to enhance the optimization performance. In addition, a dual-ESS coordinated scheduling strategy is designed to enhance the regulation capability of the storage side. In the Simulation study, the IEEE 33-bus distribution system is used to verify the proposed method, and five progressive scenarios are implemented and analyzed. A cross-sensitivity analysis of ESS capacity and DR participation level is also conducted to evaluate the adaptability of the proposed method under different resource configurations. The simulation results reveal that the total cost of the coordinated scheduling scenario is reduced to 3.04×104 CNY, and that the total cost of the dual-ESS scenario is further reduced to 3.03×104 CNY. These findings indicate that the proposed method offers satisfactory economic performance and scheduling flexibility for ADNs.