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End-User-Aware Community Energy Management in a Distribution System Exposed to Extreme Temperatures

机译:暴露于极端温度下的配电系统中的最终用户感知社区能源管理

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Extreme temperatures can push various power grid components to their operational limits. To make matters worse, the available capacity of most assets gets negatively affected as the temperature increases beyond certain thresholds. Unsurprisingly, this temperature-induced reduction in available power generation and transmission capacities coincides with higher electric demand on the system, mostly attributed to the over-utilization of air-conditioning (A/C) systems. This can jeopardize the ability of the power grid to effectively maintain the balance between load and generation. Incorporating temperature into the dispatch model of the grid is not only critical for the reliability and security of the grid operation, but also helps avoid overloading assets, which could otherwise lead to loss of life and premature failure. A unified framework is proposed in this paper to optimally allocate available energy and demand responsive resources in a power distribution system exposed to a heat wave event in order to simultaneously maintain load-generation balance and minimize operational cost. To regulate demand, the proposed solution generates temperature set-points for individual demand responsive A/C units. However, it utilizes this resource conservatively in order to avoid health risks to the residents, particularly children and the elderly. Due to the multi-objective nature of the problem, a goal programming approach is adopted to ensure the Pareto optimality of the final solution.
机译:极端温度可能会使各种电网组件达到其运行极限。更糟糕的是,随着温度升高超过某些阈值,大多数资产的可用容量会受到负面影响。毫不奇怪,这种温度引起的可用发电量和传输容量的减少与系统上更高的电力需求相吻合,这主要归因于空调(A / C)系统的过度使用。这可能会危及电网有效维持负载与发电之间平衡的能力。将温度纳入电网的调度模型中,不仅对于电网运行的可靠性和安全性至关重要,而且还有助于避免资产超载,否则资产超载可能导致人员伤亡和过早失效。本文提出了一个统一的框架,以在暴露于热浪事件的配电系统中最佳地分配可用能量和需求响应资源,以便同时保持负载生成平衡并最小化运营成本。为了调节需求,提出的解决方案为各个需求响应型空调机组生成温度设定点。但是,为了避免对居民特别是儿童和老人的健康风险,它保守地利用了这一资源。由于问题的多目标性质,因此采用目标规划方法来确保最终解决方案的帕累托最优性。

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