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Optimal power scheduling in the presence of renewable resources and energy storage systems considering demand response

机译:考虑需求响应的可再生资源和储能系统中的最优功率调度

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The expansion of microgrids has increased the use of renewable energy sources. Since the power generation of these resources, as well as the load consumption of the consumers, are prone to the uncertainty, scenario generation method is used in order to consider different modes of generation and load consumption. Renewable energy sources, energy storage systems and responsive loads are suitable tools for reducing the power generation of fossil fuel units, which, in addition to high costs, produce environmental pollutants. To solve the AC power flow and see the effects of demand response programs on system losses, it is necessary to linearize the micro-grid constraints. This paper attempts to reduce the amount of consumption at peak hours by using time-based and incentive-based demand response programs with the help of shifting the load used in peak to off-peak hours or reducing the peak load in return for paying rewards to consumers.
机译:微电网的扩展增加了可再生能源的使用。由于这些资源的发电以及用电方的负载消耗容易产生不确定性,因此使用方案生成方法来考虑不同的发电方式和负载消耗。可再生能源,能量存储系统和响应负载是减少化石燃料装置发电的合适工具,化石燃料装置不仅成本高昂,而且还会产生环境污染物。为了解决交流潮流并查看需求响应程序对系统损耗的影响,有必要使微电网约束线性化。本文试图通过使用基于时间和基于激励的需求响应程序来减少高峰时段的消费量,并通过将高峰时段使用的负荷转移到非高峰时段或减少高峰负荷来作为回报,以支付奖励。消费者。

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