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Comparison of variant robust SCUC models for operational security and economics of power systems under uncertainty

机译：不确定性下用于电力系统运行安全性和经济性的各种鲁棒SCUC模型的比较

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In electricity market, security-constrained unit commitment (SCUC) utilizes the detailed market information submitted by market participants to provide a financially viable and physically feasible unit commitment solution for Independent system operators (ISOs)/regional transmission owners (RTOs). With the dramatic increase of renewable energy resources in recent years, the robust optimization approach has been-recently explored for solving the SCUC problem with various uncertainties. This paper focuses on the following questions: How variant robust SCUC models in terms of different worst-case definitions could impact operational security and economics of power systems under uncertainties? In addition, what is the proper robust SCUC model that can meet specific market operation needs of ISOs/RTOs for effectively operating the system? Four different robust SCUC models are investigated, including: (1) Minimax load shedding robust model, (2) Minimax economic dispatch (ED) cost robust model, (3) Minimax variance robust model, and (4) Minimax regret robust model. Outer approximation (OA) and Benders' decomposition (BD) are used to solve the four robust models. Numerical case studies compare the performance of the four models and analyze their distinct characteristics for the market economic operation (such as locational marginal prices (LMP), regret costs, and base case costs) and system secure operation (such as load shedding (LS) quantities and Do-Not-Exceed (DNE) limits of power systems under uncertainties. (C) 2015 Elsevier B.V. All rights reserved.
机译：在电力市场中，受安全约束的单位承诺（SCUC）利用市场参与者提交的详细市场信息为独立系统运营商（ISO）/区域传输所有者（RTO）提供财务上可行且在物理上可行的单位承诺解决方案。近年来，随着可再生能源的急剧增长，最近开发了鲁棒的优化方法来解决具有各种不确定性的SCUC问题。本文着重于以下问题：在不确定性条件下，采用不同的最坏情况定义的健壮的SCUC模型如何影响电力系统的运行安全性和经济性？此外，什么样的健壮的SCUC模型可以满足ISO / RTO的特定市场运营需求，以有效地运行系统？研究了四种不同的鲁棒SCUC模型，其中包括：（1）最小最大甩负荷鲁棒模型，（2）最小最大经济调度（ED）成本鲁棒模型，（3）最小最大方差鲁棒模型，以及（4）最小最大后悔鲁棒模型。外部逼近（OA）和Benders分解（BD）用于求解四个鲁棒模型。数值案例研究比较了四种模型的性能，并分析了它们在市场经济运行（例如位置边际价格（LMP），后悔成本和基本案例成本）和系统安全运行（例如减载（LS））方面的独特特征。不确定性下电力系统的数量和不超过（DNE）限制（C）2015 Elsevier BV保留所有权利。

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