Research of multi-objective optimal dispatching for microgrid based on improved genetic algorithm

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Peng, D
Qiu, H
Zhang, H
Li, H
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2014
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Miami, USA

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Abstract

According to the microgrid which contains a variety of distributed generations, a Multi-objective optimal dispatching model for microgrid is proposed. These objectives include the operation cost, sewage treatment cost and the comprehensive benefit cost. The multi-objective is converted into a nonlinear single objective optimization problem through the maximum fuzzy membership. Considering the influence of the distributed generation characteristics on the optimal dispatching of microgrid and according to a certain control strategy, the economic operation of the optimum scheme was obtained by Adaptive Simulated Annealing Genetic Algorithm (ASAGA).

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Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014

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Peng, D; Qiu, H; Zhang, H; Li, H, Research of multi-objective optimal dispatching for microgrid based on improved genetic algorithm, Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014, 2014, pp. 69-73