中文摘要：

针对电力系统状态检修和可靠性评估问题，对采用状态检修的电力系统可靠性评估进行了研究，提出了一种计及状态检修的电网可靠性评估方法。将影响电力系统可靠性的因素归纳为3个方面：外力破坏、设备老化、设备检修。将电力系统设备状态的变化视为无后效性的马尔可夫过程，将设备状态划分为5个等级，考虑外力破坏、设备老化、设备检修三方面的影响，分别建立无检修和有检修情况下设备的状态转移模型。在此基础上，采用蒙特卡洛仿真算法对系统进行了可靠性评估，计算常用的系统可靠性指标之一即期望缺供电量。研究结果表明，设备质量和其工作环境对系统可靠性具有明显影响，这样应首先考虑通过改善设备质量和工作环境来提升系统可靠性。

英文摘要：

Aiming at condition-based maintenance and reliability evaluation of power system, a Markov process based reliability evaluation method considering condition based maintenance was proposed. The impacting factors on power system reliability was divided into three kinds ： outside destroying, aging of equipment and equipment maintenance. With these impacting factors considered, the changes of power e- quipment states were described as a non-aftereffect Markov process with five equipment state levels included. The equipment state transition models were respectively established next for the scenarios with and without maintenance. Then, the system reliability was evaluated using the well-established Monte Carlo simulation method and one of the widely used reliability indices, i.e. expected energy not supplied （EENS） was calculated. The results indicate that the equipment quality and work environment have significant impacts on the system reliability. Hence, improving equipment quality and work environment is the first option to enhance the system reliability.