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Stochastic and Deterministic Unit Commitment Considering Uncertainty and Variability Reserves for High Renewable Integration

机译:考虑不确定性和可变性储备的高可再生集成的随机和确定性单位承诺

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The uncertain and variable nature of renewable energy sources in modern power systems raises significant challenges in achieving the dual objective of reliable and economically efficient system operation. To address these challenges, advanced scheduling strategies have evolved during the past years, including the co-optimization of energy and reserves under deterministic or stochastic Unit Commitment (UC) modeling frameworks. This paper presents different deterministic and stochastic day-ahead UC formulations, with focus on the determination, allocation and deployment of reserves. An explicit distinction is proposed between the uncertainty and the variability reserve, capturing the twofold nature of renewable generation. The concept of multi-timing scheduling is proposed and applied in all UC policies, which allows for the optimal procurement of such reserves based on intra-hourly (real-time) intervals, when concurrently optimizing energy and commitments over hourly intervals. The day-ahead scheduling results are tested against different real-time dispatch regimes, with none or limited look-ahead capability, or with the use of the variability reserve, utilizing a modified version of the Greek power system. The results demonstrate the enhanced reliability achieved by applying the multi-timing scheduling concept and explicitly considering the variability reserve, and certain features regarding the allocation and deployment of reserves are discussed.
机译:现代电力系统中可再生能源的不确定性和可变性为实现可靠和经济高效的系统运行双重目标提出了重大挑战。为了应对这些挑战,过去几年中已经发展出了先进的调度策略,包括在确定性或随机单位承诺(UC)模型框架下对能源和储量进行共同优化。本文介绍了确定性和随机性的日前UC公式,重点是储备的确定,分配和部署。在不确定性和可变性储备之间提出了明确的区分,以捕捉可再生能源发电的双重性质。提出了多定时调度的概念并将其应用到所有UC策略中,当同时优化小时间隔内的能源和承诺时,该策略允许根据小时内(实时)间隔来优化此类储备的采购。使用希腊电力系统的修改版本,针对不同的实时调度机制(没有或只有有限的超前能力)或使用可变性储备,对日前调度结果进行了测试。结果表明,通过应用多定时调度概念并明确考虑可变性储备,可以提高可靠性,并讨论了有关储备分配和部署的某些功能。

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