Enhanced Generalized Reduced Gradient Method for Optimal Embedded Generation Planning

Recently integrating Embedded Generation units (EGs) in the distribution network gain popularity due to their overall positive impacts on the system they serve. Minimizing the system real power losses and improving the voltage profile of the system are just to name a few. However, suboptimal EG penetration and location might increase the system losses. This paper investigates the EG rating by formulating it as a nonlinear constrained optimization problem. Such problem is handled via an improved version of Generalized Reduced Gradient method, i.e. Fast GRG (FGRG). The conventional GRG is improved by incorporating a matrix-based radial power flow to satisfy the power flow equality constraints. The optimal rating impacts upon the distribution voltage profiles and the system losses are computed and reported. The optimal EG sizing utilizing the proposed FGRG is tested on 69-bus radial distribution system. Key-Words: Embedded Generation, Generalized Reduced Gradient, Nonlinear Programming, Optimization, Distribution Networks.