Optimizing location and sizing of distributed generation on distribution systems

Abstract

Recent changes in the electric utility infrastructure have created opportunities for many technological innovations, including the employment of distributed generation (DG) to achieve a variety of benefits. Both utility and customers benefit from DG. Among many benefits of distributed generation, there are many directions to solve problem of DG but all also want to accomplish to achieve the optimality of the power system development and operation. The benefits are classified into two groups – technical and economics, so the problem of DG also has two directions for solving. In this paper, an algorithm using the primal dual interior point (PDIP) method for solving nonlinear optimal power flow (OPF) problems is presented. The main purpose is to optimize location and sizing of DG on distributed systems for solving the problem of line loss reduction. The equality constraints and inequality constraints are solved in a nonlinear manner based on the Karush-Kuhn-Tucker (KKT) conditions. Two simplified models of a 10-bus and 42-bus radial distribution system have been simulated in MATLAB to illustrate the use of the line loss reduction index.