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Clearing and Pricing for Coordinated Gas and Electricity Day-ahead Markets Considering Wind Power Uncertainty

机译:日前协调燃气和电力的清算和定价   市场考虑风电不确定性

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摘要

The natural gas and electricity systems are now becoming more and morestrongly coupled. While gas-fired units (GFUs) are replacing the retired coalplants, the power systems are also increasingly dependent on the flexibilitiesprovided by GFUs to accommodate intermittent renewable energies. The GFUs'capability of power generation relies on the availability of gas resources,which is determined jointly by the capacity of gas suppliers and theirassociated pipeline networks. However, the gas and electricity markets areoperated separately. As a con-sequence, the GFUs actually have to "represent"the whole power system to bid on the gas market: they need to make forecasts onfuture gas consumption, and bear the risk of improper contracts or being unableto meet the generation schedules due to insufficient gas supply. When facinglarger shares of renewable energies and more-frequent gas network congestion,the current market framework is especially unreliable and inefficient, and alsoeconomically unfriendly to the investors of the GFU assets. In this paper, wetry to develop a framework which can combine the two markets. By properlypricing the scarce resources, e.g., gas transmission capacity, the joint marketcan help allocate them more efficiently while satisfying the demands. And byconsidering the uncertainty brought by renewable energies, a moreforward-looking day-ahead market clearing framework is presented. Theformulation, algorithm of the pro-posed joint market model will be presented,as well as some case studies.
机译:天然气和电力系统现在变得越来越牢固。当燃气机组(GFU)取代退役的燃煤电厂时,电力系统也越来越依赖GFU提供的灵活性来适应间歇性可再生能源。 GFU的发电能力取决于天然气资源的可用性,天然气的可用性由天然气供应商及其相关管道网络的能力共同决定。但是,天然气和电力市场是分开经营的。结果,GFU实际上必须“代表”整个电力系统来竞标天然气市场:它们需要对未来的天然气消费量做出预测,并承担因合同不当或无法满足发电时间表而产生的风险。供气不足。当面对更大份额的可再生能源和更频繁的天然气网络拥堵时,当前的市场框架尤其不可靠,效率低下,并且对GFU资产的投资者在经济上也不友好。在本文中,我们试图开发一个可以将两个市场结合起来的框架。通过适当定价稀缺资源(例如天然气的输送能力),联合市场可以在满足需求的同时,更有效地分配资源。通过考虑可再生能源带来的不确定性,提出了一种具有前瞻性的日前市场清算框架。将提出拟议的联合市场模型的公式,算法以及一些案例研究。

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