Distributed Generation Planning Strategy with Load Models in Radial Distribution System

Abstract

This paper proposes a new approach for distributed generation (DG) planning from the perspective of a distribution company (disco). Optimal sizing and siting decisions for distributed generator is obtained through different approaches: Power loss minimization, System MVA minimization, System cost minimization and System Energy loss minimization. The methodology adopted permits the planner to decide optimal location and size of DG with compromise between Power loss, System MVA, System cost and System energy loss. Normally a constant power (real and reactive) load model is assumed in most of the studies. It is shown that load models can significantly affect the optimal location and sizing of DG resources in distribution systems. A comparative study of optimal location and size of distributed generator provided by installing DG resources with different type of loads models has been performed. utility scenarios as an optimization problem. The objective function was based on supply-demand chain which aimed to minimize the investment and operating costs of local candidate DGs, payments towards purchasing the required extra power by the DISCO, payments toward loss compensation services, as well as the investment cost of other chosen new facilities for different market scenarios. Caisheng Wang et al. (4) proposed an analytical method to determine the best location of candidate DGs for minimum loss configuration. A rigorous analysis for uniformly distributed, centrally distributed, and increasingly distributed loads has been carried out for constant and time varying loads on a feeder. The proposed approach was non-iterative unlike power flow programs. Therefore, there is no convergence problem involved, and results could be obtained quickly. However, authors have indicated that other constraints such as voltage and line limits may affect the DG placement. V ictor H. M endez Quezada et al. (5) discussed such knowledge gap, through the analysis of the impact of DG on distribution losses by studying different scenarios with several DG penetration and concentration levels. Losses are evaluated on an annual basis. Different DG technologies, such as CHP, wind power, and photovoltaic cells, are modeled. For each type of technology, different penetration levels, corresponding with different amounts of DG installed capacity, and different concentration levels, corresponding with several DG units connected along the feeder, are studied.