Improved Sequential Quadratic Programming approach for optimal Distribution Generation sizing in distribution networks

Abstract

Integrating Distribution Generation sources (DGs) into an electric power system has an overall positive impact on the system. This impact can be enhanced via optimal DG placement and sizing. In this paper the location issue is investigated through an All Possible Combinations (APC) search approach of the distribution network. The DG rating, on the other hand, is formulated as a nonlinear optimization problem subject to highly nonlinear equality and inequality constraints. Sizing the DG optimally is performed using a conventional Sequential Quadratic Programming (SQP) method and a Fast SQP (FSQP) method. The FSQP is an improved version of the conventional SQP method that incorporates the Fast and Flexible Radial Power Flow (FFRPF) routine, which was developed by the authors in an earlier paper, to satisfy the power flow requirements. The results of this hybrid method are compared with those obtained using the conventional SQP technique, and the comparison results favor the proposed technique. This approach is designed to handle optimal single and multiple DG sizing. A 33-bus distribution network is used to investigate the performance of the proposed approach.