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Quantifying the effect of natural gas price uncertainty on economic dispatch cost uncertainty

机译:量化天然气价格不确定性对经济调度成本不确定性的影响

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The growing share of electricity production from natural gas combined with the scarcity of firm contracts for fuel procurement creates vulnerability when gas supplies are tight. To examine the effects of uncertainty in the natural gas spot price on the dispatch cost, we formulate a model of economic dispatch that accounts for limits on fixed price gas availability from contracts. Probability distributions of the hourly electric load and a daily natural gas spot price are generated using a temporal and weather conditional epi-spline based load prediction method and the kernel density estimation method, respectively. Monte Carlo simulations are conducted with randomly generated electric load variates both with and without uncertainty in the gas spot prices, to generate the corresponding dispatch cost probability distributions and quantify the effects of gas price uncertainty using the mass transportation distance. The proposed method is tested on a 24-bus power system with a 20-node gas system.
机译:在天然气供应紧张的情况下,天然气发电所占份额的不断增长,再加上缺乏可靠的燃料采购合同,这造成了脆弱性。为了检验天然气现货价格的不确定性对调度成本的影响,我们制定了一种经济调度模型,该模型考虑了合同中固定价格的天然气可用性的限制。分别使用基于时间和天气条件的基于样条曲线的负荷预测方法和核密度估计方法来生成每小时电负荷和每日天然气现货价格的概率分布。蒙特卡罗模拟是在随机产生的带有或不带有天然气现货价格不确定性的电力负荷变量的情况下进行的,以生成相应的调度成本概率分布,并使用大众运输距离来量化天然气价格不确定性的影响。该方法在带有20个节点的燃气系统的24总线电源系统上进行了测试。

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