Optimization model for two-level microgrid operation with demand response

Kailang Gao
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Abstract

The article establishes a two-layer optimization model, in which the user-side load and the microgrid operation are combined. The upper layer of optimization establishes a demand response model based on the adjustable characteristics of the load and the time characteristics of the time-sharing tariff. To give full play to the characteristics of the demand response that can cut the peaks and fill the valleys, to reduce the energy cost on the user side and improve the energy utilization, and the lower-level optimization is based on the best demand response results obtained from the upper layer of optimization. Based on the supply-demand balance, Regulating the output power of distributed energy sources at various times of the day, in order to reduce the cost of microgrid system operation. Finally, the proposed method is validated by solving the two-layer optimization model with an improved particle swarm algorithm.
考虑需求响应的两级微电网运行优化模型
本文建立了用户侧负荷与微网运行相结合的双层优化模型。优化的上层基于负荷的可调特性和分时电价的时间特性建立了需求响应模型。充分发挥需求响应削峰填谷的特点,降低用户侧能源成本,提高能源利用率,下层优化以上层优化得到的最佳需求响应结果为基础。在供需平衡的基础上,调节分布式能源在一天中不同时段的输出功率,以降低微电网系统运行成本。最后,利用改进粒子群算法求解两层优化模型,验证了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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