Multiobjective Planning Strategy for a Distribution Network integrated with Wind Power System considering Solid State Transformer

Abstract

A scenario-based optimal planning strategy of wind distributed generations (WDGs) for a radial distribution network (RDN) considering the dual reactive power support (DRPS) of the three level solid state transformers (SSTs) is proposed in this paper. The K-means algorithm is employed to generate a multi-scenario model for wind speed estimation analogous to each hour of the day and a 24-hour variable load demand is considered in this work. A multi-objective mixed integer non linear programming problem (MINLP) is formulated to address the objectives of voltage profile enhancement (VPE) and energy loss curtailment (ELC), to obtain the capacity and location requirements of SSTs together with the locations and numbers of units of wind turbines to be integrated into the system. The simulation results validated the proposed model and algorithm’s applicability and logic on the 33 bus RDN. The programming was developed in MATLAB R2020a and the paretosearch algorithm is used to address MINLP.