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Stochastic unit commitment of wind farms integrated in power system

机译：集成在电力系统中的风电场的随机机组承诺

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Integration of wind power generation creates new concerns for operation engineers in a power system. Unlike conventional power generation sources, wind power generators supply intermittent power due to uncertainty in parameters of wind such as its velocity. This paper presents probabilistic model for load and wind power uncertainty which can be used in operation planning (with durations up to one or two years). A stochastic model is proposed to simulate the status of units that are directly affected by the load and wind power generation uncertainties.rnThis paper develops a solution method for generation scheduling of power system, while taking into account the stochastic behavior of the load magnitude and the wind power generation. The stochastic trend in uncertainty of these parameters has been simulated by creating scenarios that can be solved by deterministic methods. Mixed integer nonlinear programming (MINLP) is used for solving deterministic unit commitment problems, the reserve power requirement, load-generation balance, and available wind power constraints. The proposed approach is developed to make decision on fixed state of units operation in different scenarios which can be employed efficiently in unit scheduling of power system. The proposed approach is applied to a 12-unit test system (including 10 conventional units and 2 wind farms). The performance of the proposed approach is more investigated through analysis of its results for two other test systems.
机译：风力发电的集成给电力系统的运营工程师带来了新的问题。与常规的发电源不同，由于风力的参数（例如风速）的不确定性，风力发电机提供间歇的功率。本文介绍了可用于运行计划（持续时间长达一到两年）的负荷和风能不确定性的概率模型。提出了一种随机模型来模拟受负荷和风力发电不确定性直接影响的机组的状态。rn本文提出了一种电力系统发电调度的解决方法，同时考虑了负荷​​大小和负荷的随机性。风力发电。通过创建可以通过确定性方法解决的方案，可以模拟这些参数不确定性的随机趋势。混合整数非线性规划（MINLP）用于解决确定性机组承诺问题，备用功率需求，负载产生平衡和可用风力功率约束。提出的方法可以对不同场景下的机组运行的固定状态做出决策，从而可以有效地应用于电力系统的机组调度中。所建议的方法适用于12个单元的测试系统（包括10个常规单元和2个风电场）。通过分析其他两个测试系统的结果，可以对所提出方法的性能进行更多的研究。

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