Short-Term and Medium-Term Reliability Evaluation for Power Systems With High Penetration of Wind Power
Short-Term and Medium-Term Reliability Evaluation for Power Systems With High Penetration of Wind Power
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DOI：
10.1109/tste.2014.2313017
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发表时间：
2014-04
影响因子：
8.8
通讯作者：
Yi Ding;C. Singh;L. Goel;J. Østergaard;Peng Wang
中科院分区：
文献类型：
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作者：
Yi Ding;C. Singh;L. Goel;J. Østergaard;Peng Wang
波动性和不可预测性的风力发电份额的扩大可以在电力系统可靠性评估和管理中引入复杂性。这需要系统操作员更准确地评估系统状态，以确保实时平衡。现有的电力系统可靠性评估技术已经相当成熟。这些技术更侧重于稳态（时间无关）的可靠性评估，并已成功地应用于电力系统规划和扩建。然而，在运行阶段，它们可能过于粗略的近似的时变行为的电力系统与高渗透的风力发电。本文提出了一种时变可靠性评估技术。建立了风电场、常规发电机组和快速启动发电机组的时变可靠性模型，并分别表示为相应的通用生成函数（UGF）。一个混合发电和备用供应商的多状态模型也提出了基于开发的UGF表示的风电场，常规发电机组，快速启动发电机组。所提出的技术提供了一个有用的工具，系统运营商评估的可靠性和安排储备，以维持安全的系统运行在短期和中期。
The expanding share of the fluctuating and less predictable wind power generation can introduce complexities in power system reliability evaluation and management. This entails a need for the system operator to assess the system status more accurately for securing real-time balancing. The existing reliability evaluation techniques for power systems are well developed. These techniques are more focused on steady-state (time-independent) reliability evaluation and have been successfully applied in power system planning and expansion. In the operational phase, however, they may be too rough an approximation of the time-varying behavior of power systems with high penetration of wind power. This paper proposes a time-varying reliability assessment technique. Time-varying reliability models for wind farms, conventional generating units, and rapid start-up generating units are developed and represented as the corresponding universal generating functions (UGFs), respectively. A multistate model for a hybrid generation and reserve provider is also proposed based on the developed UGF representations of wind farms, conventional generating units, and rapid start-up generating units. The proposed technique provides a useful tool for the system operator to evaluate the reliability and arrange reserve for maintaining secure system operation in the short- as well as medium-terms.