不确定条件下提高Hopf分岔裕度的辅助服务位置快速识别

Bevin K C, R. Krishan, Ashu Verma
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引用次数: 0

摘要

可再生能源的日益普及对电力系统的稳定运行提出了挑战。一个重要的稳定性考虑因素是小信号稳定性,其特征是Hopf分岔。系统操作者可以利用辅助服务来维持足够的Hopf分岔余量,以保证系统的稳定性。本文提出了一种确定辅助服务最优位置的方法,以提高Hopf分岔裕度。利用基于边界潮流的特征值分析方法处理了负荷和可再生能源发电的预测不确定性。对wscc9公交系统和New England 39公交系统进行了仿真研究。通过与蒙特卡罗方法的比较,证明了该方法的准确性。
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Fast Identification of Ancillary Service Locations for Improving Hopf Bifurcation Margin Under Uncertainties
Increasing penetration of renewable energy is posing challenges to stable operation of the power system. An important stability consideration is the small signal stability, which is characterized by Hopf bifurcation. The system operator can use ancillary services to maintain sufficient Hopf bifurcation margin to ensure stability. This work proposes a method to identify the optimum locations for ancillary services to improve Hopf bifurcation margin. The forecast uncertainties related to load and renewable based generation has been handled using boundary power flow based eigenvalue analysis. Simulation studies were performed on WSCC 9 bus system and New England 39 bus system. The accuracy of proposed method is proved by comparing the result with Monte-Carlo method.
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