Distribution Generation Optimal Size and Placement using an Enhanced Sequential Quadratic Programming

Abstract

It is agreed that integrating Distributed Generation (DG) in electric power systems is a highly recommended practice for its great impact on the system. A sensitivity study is accomplished in this paper to analyze the optimal DG location and sizing. Although locating DG in radial distribution systems has been expansively studied in the literature, but in most cases the DG issue is treated as a nonlinear optimization problem. This formulation, of course, is subject to highly nonlinear constraints. An improved Sequential Quadratic Programming (SQP) technique is applied to find the optimal DG Sizing pattern. The SQP method is enhanced by integrating Radial Distribution Power Flow in order to fulfil the power flow necessities. The proposed equality constraint satisfaction approach drastically reduces computational time requirements. A well-known 69–bus distribution system is utilized to demonstrate the performance of the proposed method. Optimal DG sizing and allocation with various power factor conditions is taken into consideration. The superiority of the proposed technique is proven by comparing the results obtained in this paper with those provided using other approaches.