A New Optimal Operation Structure For Renewable- Based Microgrid Operation based On Teaching Learning Based Optimization Algorithm

Amir Tavakoli, Farzad Mirzaei and Sajad Tashakori

MPRA Paper from University Library of Munich, Germany

Abstract: This paper proposes a new optimization framework for the optimal power dispatch in both grid-connected and islanded microgrid modes. Solving the microgrid operation by the evolutionary algorithms can be faster than analytical models due to the complexity of the problem. To demonstrate the efficiency and high performance of the proposed technique, it is applied on the IEEE 33 bus test network. Also, the proposed technique is compared with the analytical model, and also well-known heuristic methods such as particle swarm optimization (PSO), genetic algorithm (GA).

Keywords: Genetic Algorithm; Swarm Optimization; Microgrid (search for similar items in EconPapers)
JEL-codes: C3 C6 C61 L0 L00 (search for similar items in EconPapers)
Date: 2018-09-26
New Economics Papers: this item is included in nep-cmp
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Citations: View citations in EconPapers (1)

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