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首页> 外文期刊>Mathematical Problems in Engineering >Two-Stage Robust Security-Constrained Unit Commitment with Optimizable Interval of Uncertain Wind Power Output
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Two-Stage Robust Security-Constrained Unit Commitment with Optimizable Interval of Uncertain Wind Power Output

机译:具有不确定风电输出的最佳间隔的两阶段鲁棒安全约束单位承诺

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摘要

Because wind power spillage is barely considered, the existing robust unit commitment cannot accurately analyze the impacts of wind power accommodation on on/off schedules and spinning reserve requirements of conventional generators and cannot consider the network security limits. In this regard, a novel double-level robust security-constrained unit commitment formulation with optimizable interval of uncertain wind power output is firstly proposed in this paper to obtain allowable interval solutions for wind power generation and provide the optimal schedules for conventional generators to cope with the uncertainty in wind power generation. The proposed double-level model is difficult to be solved because of the invalid dual transform in solution process caused by the coupling relation between the discrete and continuous variables. Therefore, a two-stage iterative solution method based on Benders Decomposition is also presented. The proposed double-level model is transformed into a single-level and two-stage robust interval unit commitment model by eliminating the coupling relation, and then this two-stage model can be solved by Benders Decomposition iteratively. Simulation studies on a modified IEEE 26-generator reliability test system connected to a wind farm are conducted to verify the effectiveness and advantages of the proposed model and solution method.
机译:由于很少考虑风电泄漏,现有的强大机组承诺无法准确分析风电调节对常规发电机开/关时间表和旋转备用要求的影响,也无法考虑网络安全限制。为此,本文首先提出了一种不确定风能输出具有可优化区间的鲁棒安全约束双层鲁棒单位承诺公式,以求得风力发电的区间允许解,并为常规发电机提供了最优的调度方案。风力发电的不确定性。由于离散变量和连续变量之间的耦合关系导致求解过程中的无效双重变换,因此难以求解所提出的双层模型。因此,提出了一种基于Benders分解的两阶段迭代求解方法。通过消除耦合关系,将提出的双层模型转化为单级和两阶段鲁棒区间单位承诺模型,然后可以通过Benders分解迭代求解该两阶段模型。对连接到风电场的改进型IEEE 26发电机可靠性测试系统进行了仿真研究,以验证所提出的模型和求解方法的有效性和优势。

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  • 来源
    《Mathematical Problems in Engineering》 |2017年第7期|9153297.1-9153297.11|共11页
  • 作者单位

    Hohai Univ, Coll Energy & Elect Engn, Nanjing 211100, Jiangsu, Peoples R China|State Grid Jiangsu Elect Power Co, Nanjing 210024, Jiangsu, Peoples R China;

    State Grid Jiangsu Elect Power Co, Elect Power Res Inst, Nanjing 211103, Jiangsu, Peoples R China|Southeast Univ, Sch Elect Engn, Nanjing 210096, Jiangsu, Peoples R China;

    State Grid Jiangsu Elect Power Co, Nanjing 210024, Jiangsu, Peoples R China;

    State Grid Jiangsu Elect Power Co, Elect Power Res Inst, Nanjing 211103, Jiangsu, Peoples R China;

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