Microgrid self adequacy optimization using back tracking search algorithm

Abstract

This paper presents optimized approaches for microgrid design and allocation of energy storage units to enhance self adequacy of microgrids. Microgrids are clusters of distributed energy resources serving clusters of distributed loads either in grid connected or isolated grid modes. The self adequacy of microgrids is maximized by the optimal installment of energy storage units that can store the spilled energy generated by renewable based resources during off-peak hours and release it during on-peak hours. The optimal allocation problem is solved with 3 different methodologies to determine the best location for the storage resources and the cut sets foundries. Back tracking search algorithm is used as the solution algorithm. The probabilistic nature of intermittent generation and loads is considered by performing a probabilistic load flow. The well known PG&E 69-bus distribution system is selected for the study. The problem formulation and solution algorithms are presented in the paper.