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An Integrated Electric Power Supply Chain and Fuel Market Network Framework: Theoretical Modeling with Empirical Analysis for New England

机译:完整的电力供应链和燃料市场网络框架:新英格兰的理论模型与实证分析

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In this article, we develop a novel electric power supply chain network model with fuel supply markets that captures both the economic network transactions in energy supply markets and the physical network transmission constraints in the electric power network. The theoretical derivation and analysis are done using the theory of variational inequalities. We then apply the model to a specific case, the New England electric power supply chain, consisting of six states, five fuel types, 82 power generators, with a total of 573 generating units, and 10 demand market regions. The empirical case study demonstrates that the regional electric power prices simulated by our model match the actual electricity prices in New England very well. We also compute the electric power prices and the spark spread, an important measure of the power plant profitability, under natural gas and oil price variations. The empirical examples illustrate that in New England, the market/grid-level fuel competition has become the major factor that affects the influence of the oil price on the natural gas price. Finally, we utilize the model to quantitatively investigate how changes in the demand for electricity influence the electric power and the fuel markets from a regional perspective.rnThe theoretical model can be applied to other regions and multiple electricity markets under deregulation to quantify the interactions in electric power/energy supply chains and their effects on flows and prices.
机译:在本文中,我们用燃料供应市场开发了一种新颖的电力供应链网络模型,该模型既捕获了能源供应市场中的经济网络交易,又捕获了电力网络中的物理网络传输约束。使用变分不等式理论进行理论推导和分析。然后,我们将模型应用于特定情况下,即新英格兰电力供应链,该链包括六个州,五种燃料类型,82台发电机,总共573台发电机组和10个需求市场区域。实证研究表明,我们的模型模拟的区域电力价格与新英格兰的实际电力价格非常匹配。我们还计算了天然气和石油价格变化下的电力价格和火花扩散,这是衡量电厂盈利能力的重要指标。经验例子表明,在新英格兰,市场/电网级别的燃料竞争已成为影响油价对天然气价格影响的主要因素。最后,我们使用该模型从区域的角度定量研究电力需求的变化如何影响电力和燃料市场.rn该理论模型可以在放松管制的情况下应用于其他地区和多个电力市场,以量化电力中的相互作用电力/能源供应链及其对流量和价格的影响。

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