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Adequacy assessment of composite generation and transmission systems incorporating wind energy conversion systems.

机译：结合风能转换系统的复合发电和输电系统的充分性评估。

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摘要

The development and utilization of wind energy for satisfying electrical demand has received considerable attention in recent years due to its tremendous environmental, social and economic benefits, together with public support and government incentives. Electric power generation from wind energy behaves quite differently from that of conventional sources. The fundamentally different operating characteristics of wind energy facilities therefore affect power system reliability in a different manner than those of conventional systems. The reliability impact of such a highly variable energy source is an important aspect that must be assessed when the wind power penetration is significant. The focus of the research described in this thesis is on the utilization of state sampling Monte Carlo simulation in wind integrated bulk electric system reliability analysis and the application of these concepts in system planning and decision making. Load forecast uncertainty is an important factor in long range planning and system development. This thesis describes two approximate approaches developed to reduce the number of steps in a load duration curve which includes load forecast uncertainty, and to provide reasonably accurate generating and bulk system reliability index predictions. The developed approaches are illustrated by application to two composite test systems.;A method of generating correlated random numbers with uniform distributions and a specified correlation coefficient in the state sampling method is proposed and used to conduct adequacy assessment in generating systems and in bulk electric systems containing correlated wind farms in this thesis. The studies described show that it is possible to use the state sampling Monte Carlo simulation technique to quantitatively assess the reliability implications associated with adding wind power to a composite generation and transmission system including the effects of multiple correlated wind sites. This is an important development as it permits correlated wind farms to be incorporated in large practical system studies without requiring excessive increases in computer solution time. The procedures described in this thesis for creating monthly and seasonal wind farm models should prove useful in situations where time period models are required to incorporate scheduled maintenance of generation and transmission facilities. There is growing interest in combining deterministic considerations with probabilistic assessment in order to evaluate the quantitative system risk and conduct bulk power system planning. A relatively new approach that incorporates deterministic and probabilistic considerations in a single risk assessment framework has been designated as the joint deterministic-probabilistic approach. The research work described in this thesis illustrates that the joint deterministic-probabilistic approach can be effectively used to integrate wind power in bulk electric system planning. The studies described in this thesis show that the application of the joint deterministic-probabilistic method provides more stringent results for a system with wind power than the traditional deterministic N-1 method because the joint deterministic-probabilistic technique is driven by the deterministic N-1 criterion with an added probabilistic perspective which recognizes the power output characteristics of a wind turbine generator.
机译：近年来，由于其巨大的环境，社会和经济利益，以及公众的支持和政府的鼓励，开发和利用风能满足电力需求受到了广泛的关注。风能发电的行为与传统能源的行为大不相同。因此，风能设施的根本不同的运行特性以与传统系统不同的方式影响电力系统的可靠性。当风力穿透力很大时，这种高度可变的能源的可靠性影响是必须评估的重要方面。本文所描述的研究的重点是状态采样蒙特卡罗模拟在风电集成大电网可靠性分析中的应用以及这些概念在系统规划和决策中的应用。负荷预测的不确定性是长期规划和系统开发的重要因素。本文描述了两种近似的方法，这些方法是为了减少包含负荷预测不确定性的负荷持续时间曲线中的步数，并提供合理准确的发电量和整体系统可靠性指标预测而设计的。通过将其应用于两个复合测试系统，说明了所开发的方法。提出了一种在状态采样方法中生成具有均匀分布和指定相关系数的相关随机数的方法，并将其用于在发电系统和大宗电力系统中进行充分性评估本文包含相关的风电场。所描述的研究表明，可以使用状态采样蒙特卡洛模拟技术来定量评估与向复合发电和输电系统增加风能相关的可靠性影响，其中包括多个相关风场的影响。这是一项重要的发展，因为它可以将相关的风电场纳入大型实际系统研究中，而无需过度增加计算机求解时间。本文描述的用于创建月度和季节性风电场模型的程序应在需要时间模型以合并发电和输电设施的定期维护的情况下证明是有用的。人们越来越有兴趣将确定性考虑与概率评估相结合，以评估定量系统风险并进行大功率系统规划。在单一风险评估框架中结合了确定性和概率考虑因素的相对较新的方法已被指定为联合确定性-概率方法。本文所描述的研究工作表明，联合确定性-概率方法可以有效地用于将风电整合到大电网系统规划中。本文描述的研究表明，联合确定性概率方法的应用为风电系统提供了比传统确定性N-1方法更严格的结果，因为联合确定性概率技术是由确定性N-1驱动的具有附加概率观点的标准，它可以识别风力涡轮发电机的功率输出特性。

著录项

  • 作者

    Gao, Yi.;

  • 作者单位

    The University of Saskatchewan (Canada).;

  • 授予单位 The University of Saskatchewan (Canada).;
  • 学科 Alternative Energy.;Energy.;Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 222 p.
  • 总页数 222
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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