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    FANG Lei, NIU Yu-gang, ZU Qi-wu. Transferable Load Dispatching and Energy Storage Control Strategy in Microgrid[J]. Journal of East China University of Science and Technology, 2018, (4): 588-594. DOI: 10.14135/j.cnki.1006-3080.20170525001
    Citation: FANG Lei, NIU Yu-gang, ZU Qi-wu. Transferable Load Dispatching and Energy Storage Control Strategy in Microgrid[J]. Journal of East China University of Science and Technology, 2018, (4): 588-594. DOI: 10.14135/j.cnki.1006-3080.20170525001

    Transferable Load Dispatching and Energy Storage Control Strategy in Microgrid

    • There exist uncertainties and randomness in renewable power generation and the difficult matching between the renewable generation and the user load. In order to deal with the above problems, this paper constructs a micro-grid system of integrating the wind power generation, the photovoltaic power generation and the energy storage system. And then, this paper proposes a micro-grid energy management strategy based on the coordinated control between transferable load and energy storage system. Firstly, a centralized micro-grid control system is designed via the existing micro-grid model to control the wind power generation, the photovoltaic power generation and the energy storage system. By taking into account the optimization of the user load and the safe and efficient operation of the energy storage system, a multi-objective function is introduced, which is solved by using the improved particle swarm optimization algorithm. Moreover, a new load scheduling strategy is proposed to reduce computational complexity and improve user satisfaction, by which the transferrable load dispatch value is received and the transportable load scheduling strategy is achieved. The key features of the proposed energy management strategy are that the impact of energy storage system is fully considered, the state of charge (SOC) is controlled and monitored, and the fluctuations of the energy storage system is also controlled. Thus, the proposed strategy can effectively improve the energy storage system performance and extend its service life. Finally, numerical simulation results show that the proposed energy management strategy can satisfy the users and meet the actual energy storage requirement, and achieve the economic operation.
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