Metaheuristic approach to intelligent soultion of microgrid with storage element

This paper presents back tracking search algorithm (BSA) to for a day-ahead optimal scheduling of a micro grid that is comprised of a wind turbine, a photo voltaic array, battery storage, a fuel cell, a diesel generator and a micro turbine. The proposed solution methodology incorporates two perspectives of the problem. First, fuzzy logic system is developed to obtain the scheduling of battery storage unit over a day. Second, optimal scheduling of microgrid as a bi-objective problem has been investigated to optimize cost of fuel and emission from diesel unit while satisfying all the optimal constraints. BSA is a heuristic search technique used for solving real valued problems that operates on both current and historical population to find the search direction and better solution to microgrid in terms of its efficiency and economics.

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