Optimal placement and sizing of distributed generation on radial feeder with different static load models

Abstract

Due to the increasing interest on renewable sources in recent times, the studies on integration of distributed generation to the power grid have rapidly increased. In order to minimize line losses of power systems, it is crucially important to define the size and location of local generation to be placed. There have been studies, to define the optimum location of distributed generation. Additional to the current studies in the literature, in this study, the optimum size and location of distributed generation that will be placed in the radial system will be defined by an analytical method so as to minimize total power loss for the uniformly, centrally and increasingly distributed system profile. Additionally the analytical approach will also be evaluated against classical grid search algorithm for different load models. 1

A review on optimal sizing and siting of distributed generation system: Integrating distributed generation into the grid

“…The analytical method is simple, fast and accurate [48][49][50][51] and since it is non iterative therefore convergence problem [18,46] is eliminated. It can also be used to prove that there is an improvement in voltage regulation [52].…”

An analytical method for the sizing and siting of distributed generators in radial systems

“…The proposed method is easy to be implemented, faster and more accurate than the classical method [5], meta-heuristic methods [6][7][8] and early analytical methods [9][10][11][12]. It is more suitable for radial systems of considerable sizes than the analytical method proposed earlier [13].…”

“…Additionally, in [12], optimal size and place of DG is obtained and analyzed by considering the effects of static load models. These analytical studies are generally based on phasor current injection method which has unrealistic assumptions such as; uniformly, increasingly, centrally distributed load profiles.…”

“…For the minimization of system losses, there have been number of studies to define the optimum location of DG. The various approaches on the optimum DG placement for minimum power losses can be listed as the classical approach: second-order algorithm method [5], the meta-heuristics approaches [6][7][8]: genetic algorithm and Hereford Ranch algorithm [6], fuzzy-GA method [7], tabu search [8], and the analytical approaches [9][10][11][12][13].…”

Distributed Generation Planning Strategy with Load Models in Radial Distribution System

“…Most of the planning methods invariably use power flow programs which normally utilize constant real and reactive power load model representation. It is observed from the literature review that load models were not included in planning the location and size, and calculating the said indices except T. Gozel et al [13] who have used analytical approach considering the load model to show that the location does not change as significantly as size of DG. However, the analysis does not take the constraints of voltage and line limits and therefore has only instructive value.…”