Combined Allocation of Renewable-Based Distributed Generation and Soft Open Point into Distribution Networks in Presence of Plug-in Electric Vehicles: A Multi-Objective Framework

This paper addresses the significant challenges of minimizing power loss and voltage deviation in distribution systems, exacerbated by the increasing prevalence of plug-in electric vehicles (PEVs). It introduces a novel multi-objective framework tailored to efficiently integrate Renewable-Based Distributed Generation and soft open point (SOP) technologies into distribution networks, considering the presence of PEVs. The primary objective is to concurrently minimize power losses and voltage deviation. The study integrates practical voltage- dependent load models and PEV loads into the analysis. Em- ploying the ε constraint method, the paper addresses the multi- objective optimization problem, implemented using the GAMS and MATLAB interfacing environment. Through numerical sim- ulations on the IEEE 33-bus distribution network, the authors demonstrate the effectiveness of the proposed multi-objective optimization scheme. Test results underscore the significance of combined allocation of RES and SOP, revealing a notable reduction of approximately 16.6% in power loss and 15.59% in voltage deviation within the distribution network. This approach ensures a reliable and efficient power supply, essential for modern energy systems.