Abstract
This chapter proposes an effective model and algorithm for energy management within an energy local area network (ELAN), considering the cooperative optimization of resources, loads and battery energy storage systems (BESSs). First, the operation conditions of various resources and their interactions for the management of the ELAN are introduced. Second, an energy management model is proposed that aims to maximize the utilization of renewable energies and minimize the overall system cost. Additionally, the optimal scheduling strategies are provided for cases of productive capacity and shortage. Finally, three different optimization schemes considering the demand response effect and direct interaction effect are proposed in which the Lagrangian multiplier method and an evolutionary large-scale global optimization algorithm (self-adaptive neighbourhood search differential evolution) are used to find the optimal solution. Experimental results indicate that the developed model and algorithm are efficient and also present the realization of the goal of “intranet autonomy, network synergy and global optimization.”
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Zhang, T. et al. (2020). Multiple Source-Load-Storage Cooperative Optimization of Energy Management for Energy Local Area Network Systems. In: Zobaa, A., Cao, J. (eds) Energy Internet. Springer, Cham. https://doi.org/10.1007/978-3-030-45453-1_12
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DOI: https://doi.org/10.1007/978-3-030-45453-1_12
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