Dual-Layer Optimization Strategy for Multi-terminal SOPs in ADN Considering Energy Storage Integration

This paper addresses the operational and configuration challenges associated with integrating a new comprehensive intelligent power distribution equipment, the Multi-port Storage-embedded Smart Optimal Power-flow (SOP) device, into active distribution networks. The study focuses on optimizing the operation and configuration planning of active distribution networks that incorporate the Multi-port Storage-embedded SOP, with an emphasis on investment and operating costs. The goal is to optimize the operational state of active distribution networks and enhance their economic benefits. A dual-layer optimization strategy for active distribution networks considering the Multi-port Storage-embedded SOP is explored. A dual-layer planning model for active distribution networks with a three-port Storage-embedded SOP is established and solved using the Particle Swarm Optimization (PSO) algorithm and Cone Programming algorithm. Finally, on an enhanced IEEE 33-bus system, four scenarios were created based on different connection locations of the Multi-port Storage-embedded SOP to conduct a comparative analysis of the dual-layer optimization strategy. The simulation results indicate that optimizing the capacity configuration of SOP and storage provides reasonable capacity allocation for different operational scenarios, preventing resource wastage during the investment and construction process. This optimization leads to a further reduction in the overall active power loss within the system, consequently enhancing the economic efficiency of both operational activities and planning processes in active distribution networks.