Modern power system exploitation of large-scale Renewable Energy Sources (RESs) is prevalent due to the RES effect of reducing the heavy dependence on fossil fuels and the resultant power quality improvement. Therefore, this paper investigates the reliability assessment of a power system with integration of large-scale RESs with emphasis on their impacts on the expansion planning procedure. A multi-state Markov model is proposed to analyze the availability and reliability of the stochastic nature of RESs and High Voltage Direct Current transmission links. A Mixed Integer Nonlinear Programming model is developed to minimize the total investment and operation cost of the generating units and the cost associated with power outage as well as improving power system reliability. An Outer Approximation Algorithm, a powerful solver embedded in the Advanced Interactive Multidimensional Modeling System, was employed in solving the proposed model and implemented using the IEEE 6- and 24-bus Roy Billinton Test System...

中文翻译：

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结合可再生能源的复合发电和输电扩建规划的可靠性评估

现代电力系统开发大规模可再生能源 (RES) 是普遍的，因为可再生能源效应减少了对化石燃料的严重依赖，从而改善了电能质量。因此，本文研究了集成大型 RES 的电力系统的可靠性评估，重点是它们对扩展规划程序的影响。提出了一种多状态马尔可夫模型来分析可再生能源和高压直流输电链路的随机特性的可用性和可靠性。开发了混合整数非线性规划模型，以最大限度地减少发电机组的总投资和运行成本以及与停电相关的成本，并提高电力系统的可靠性。一种外逼近算法，