Optimal Integration of D-STATCOMs in Radial and Meshed Distribution Networks Using a MATLAB-GAMS Interface

This paper proposes an interconnection of the MATLAB and GAMS software interfaces, which were designed based on a master-slave methodology, to solve mixed-integer nonlinear programming (MINLP) model problem associated with regarding optimal location sizing static distribution compensators (D-STATCOMs) in meshed radial networks, considering reactive power flow compensation fact that networks have commercial, industrial, residential loads for daily operation scenario. The objective this study is reduce annual investment operating costs energy losses installation D-STATCOMs. function classical budget capacity constraints device. In master stage, used program discrete version sine-cosine algorithm (DSCA), determines locations where D-STATCOMs will be installed. slave using BONMIN solver known D-STATCOMs, MINLP representing under solved find value nominal To validate effectiveness proposed optimizer, 33-node IEEE test system both topologies used. With system, numerical comparisons made exact solution model, different solvers software, genetic-convex strategy, discrete-continuous versions Chu Beasley genetic salp swarm optimization algorithm. results show DSCA-BONMIN achieves global study, making method effective tool decision-making companies.