Distributed Generation Planning Using the R Method

Abstract

Nowadays micro-grids are employed to improve the resilience and stability of power systems. The supervised operation of several distributed generation (DG) in a distribution system will give customers enough options to select the better solution under various priorities. Strategic planning studies with a variety of options are presented to the decision-maker. Major problems faced by decision-makers are assigning weights to the attributes, using attribute data for various alternatives, and making final decisions. These problems can be effectively managed in the multi-attribute decision-making approach. It deals with choosing the best option from a large but finite number of options while taking into account how each option performs concerning several attributes. In this paper optimal planning of a DG using the R method considering various configurations such as hybrid DG, Micro-grid, and the grid is presented. Three attributes such as reliability, incremental cost, and T&D losses are considered in this paper. The results are compared with the Analytical Hierarchy Process approach. The R method is a relatively simple and efficient as it requires less time, limited attention of the decision maker, and a high capacity for processing the information. This research paper will help to develop a control algorithm using fuzzy for strategic planning of DGs.