This paper proposes a multi-state reliability evaluation model for the concentrated solar power (CSP) plant considering partial function failure. Firstly, the component functions and components’ consequences of random failure of CSP plants are analyzed. Core components affecting the output of CSP plants are selected. The CSP plant is divided into three subsystems: the heat collection, the heat exchange, and the power generation subsystems, according to the component function. Each subsystem is equivalent to a two-state component. Thus, an 8-state Markov model of CSP plant is established. The CSP plant can be operated in a partial function failure state as thermal energy storage (TES) or generation, depending on the functions of solar-heat and heat-electricity conversion. On this basis, the 8-state model can be simplified to a 4-state model by combining the partial function failure states of the same effect. Finally, the 4-state model is applied to the sequential Monte Carlo simulation for the reliability evaluation of power systems containing CSP plants. Two TES strategies are considered in the simulation: One is based on solar field (SF) average output, another is designed to satisfy the load preferentially. The proposed model is tested on the modified RBTS/IEEE RTS systems to verify the effectiveness.

本文提出了一种考虑部分功能失效的聚光太阳能电站多状态可靠性评估模型。首先，分析了光热电站随机故障的部件功能和部件后果。选择影响 CSP 设备输出的核心组件。光热电站按组件功能分为集热子系统、换热子系统和发电子系统三个子系统。每个子系统相当于一个二态组件。由此，建立了光热电站的八态马尔可夫模型。根据太阳能热和热电转换的功能，CSP 电厂可以在部分功能故障状态下运行，如热能储存 (TES) 或发电。以这个为基础，通过组合相同效应的部分函数失效状态，可以将8态模型简化为4态模型。最后，将四态模型应用于顺序蒙特卡罗模拟，以评估包含 CSP 电厂的电力系统的可靠性。模拟中考虑了两种 TES 策略：一种基于太阳能场 (SF) 平均输出，另一种设计为优先满足负载。所提出的模型在改进的 RBTS/IEEE RTS 系统上进行了测试，以验证其有效性。另一个是为了优先满足负载而设计的。所提出的模型在改进的 RBTS/IEEE RTS 系统上进行了测试，以验证其有效性。另一个是为了优先满足负载而设计的。所提出的模型在改进的 RBTS/IEEE RTS 系统上进行了测试，以验证其有效性。