用模糊-概率混合方法评估电力系统运行中组件故障、需求和发电成本不确定性的影响

Bruno AndreGomes, J. Saraiva
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引用次数: 0

摘要

本文综述了采用模糊数建模的允许发电成本和负荷值的模糊直流OPF问题的概念和求解算法,并详细介绍了该问题在蒙特卡罗仿真模型中的集成。在这种意义上,本文描述了一种混合方法,其中发电成本和需求的不确定性用模糊数表示,系统组件的生命周期用概率方法建模。在此基础上,研究了系统的采样过程、采样状态的分析、收敛性检验以及系统无供电指标期望值和系统风险指标期望值的计算。最后,本文给出了基于IEEE 24总线/38分支测试系统的测试结果来说明所提出的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Fuzzy — Probabilistic hybrid approach to evaluate the impact of component outages, demand and generation cost uncertainties in the operation of power systems
This paper reviews the concepts and the solution algorithm of the Fuzzy DC OPF problem admitting generation costs and load values modeled by fuzzy numbers and details the integration of this problem in the Monte Carlo simulation model. In this sense, the paper describes an hybrid approach in which generation cost and demand uncertainties are represented by fuzzy numbers and the life cycle of the system components is modeled by probabilistic approaches. On this topic, the paper addresses the sampling procedure, the analysis of sampled states, the convergence testing and the computation of the expected values of the system Power Not Supplied and system risk indices. Finally, the paper includes results based on the IEEE 24 bus/38 branch test system to illustrate the proposed approach.
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