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Energy Saving Management System of Distribution Network Based on Multi-agent Genetic Algorithm
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    Abstract:

    Aiming at the deficiency of energy saving technology in enterprise distribution network, an energy saving management system of distribution network based on multi-agent genetic algorithm was proposed. Combined with genetic algorithm and multi-agent system, a GA-MAS algorithm was proposed. Each multi-agent was equivalent to an individual of genetic algorithm, and the adjacent multi-agent was in interaction. The GA-MAS algorithm was combined with the evolutionary mechanism of the genetic algorithm for global optimal solution. The agent structure model of the energy saving equipment and the intelligent architecture model of high / low voltage system were presented. Using the proposed GA-MAS algorithm, the optimal regulation of energy-saving equipment was obtained, so the least cost of the energy-saving equipment had the biggest energy saving profit. The simulation and practical application have shown that the proposed energy saving management system of distribution network can reduce the total active power loss and the total number of capacitors, and achieve the best regulation of energy-saving device. It has also been shown that the proposed GA-MAS algorithm has faster convergence speed.

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  • Received:
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  • Online: April 26,2016
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