用水需求不确定条件下用水系统需求响应优化的线性规划方法

Chouab Mkireb, A. Dembélé, A. Jouglet, T. Denoeux
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引用次数: 5

摘要

全球加速能源转型的努力要求消费者在能源市场中像生产消费者一样行动。需求侧管理被认为有助于将高份额的可再生能源纳入电网,并通过降低峰值电力负荷有助于减少二氧化碳排放。饮用水系统,通过存储单元和变速泵的存在,可以解决能源效率机制,如需求响应。在本文中,我们使用线性规划来优化饮用水系统的泵调度,同时在高峰时段的现货电力市场交易需求响应。在数学模型中考虑了水需求的不确定性,从而可以提出前一天现货电力市场的电力减少,从而覆盖实时水需求预测不准确的潜在风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Linear Programming Approach to Optimize Demand Response for Water Systems under Water Demand Uncertainties
Worldwide efforts to accelerate energy transition require consumers acting like prosumers in energy markets. Demand side management is believed to facilitate the integration of high share of renewables into the electric power grid, and contributes to the reduction of $CO_{2}$ emissions by reducing peak power load. Drinking Water Systems, by the presence of storage units and variable speed pumps, can address energy efficiency mechanisms such as Demand Response. In this paper, we use linear programming to optimize pump schedules in Drinking Water Systems while trading Demand Response in a spot power market during peak times. Uncertainties about water demands are taken into account in the mathematical model allowing to propose power reductions in the day-ahead spot power market, covering potential risks of real-time water demand forecasting inaccuracy.
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