| 引用本文: | 颜云松,孙 宁,张 楠,李生虎.基于预防检修周期优化的电网稳定控制系统失效风险评估[J].电力系统保护与控制,2021,49(17):139-146.[点击复制] |
| YAN Yunsong,SUN Ning,ZHANG Nan,LI Shenghu.Evaluation of unavailability risk of the security and stability control system of power systems based on optimization of the preventive maintenance period[J].Power System Protection and Control,2021,49(17):139-146[点击复制] |
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| 摘要: |
| 随着大型电网互联，迫切需要安全稳定控制系统(简称稳控系统)更加可靠。预防性检修有助于降低稳控系统失效风险。从底层模件开始，建立稳控系统故障树，计算其失效概率。考虑隐性故障和预防性检修，建立稳控系统状态空间模型。以可靠系数和经济成本可靠系数为目标、以状态概率为等式约束、以可行检修周期和允许年均经济损失为不等式约束，首次建立优化模型，以求解最优检修周期。根据拉格朗日乘子，提出目标函数对检修周期约束的灵敏度。相对于连续修改参数方法，所提优化及其灵敏度算法计算效率高，且可处理多个变量。算例结果验证了所提模型和算法的可行性和应用价值。 |
| 关键词: 安全稳定控制系统 失效风险 预防检修周期 最优化 灵敏度 |
| DOI：DOI: 10.19783/j.cnki.pspc.201448 |
| 投稿时间：2020-11-23修订日期：2021-02-25 |
| 基金项目:国家电网有限公司科技项目资助“交直流电网安全稳定控制系统本质安全提升技术研究”(5100- 201940006A-0-0-00) |
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| Evaluation of unavailability risk of the security and stability control system of power systems based on optimization of the preventive maintenance period |
| YAN Yunsong,SUN Ning,ZHANG Nan,LI Shenghu |
| (1. NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 211106, China;
2. School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China) |
| Abstract: |
| Interconnection of bulk power systems needs a reliable Security & Stability Control System (SSCS). Preventive maintenance may help to reduce the unavailability of the SSCS. In this paper, the fault tree of the SSCS is derived from lower level components to obtain the failure probability of the SSCS. This includes hidden failure and preventive maintenance. The state space model of the SSCS is derived. With the object of the reliability coefficient and the economic cost reliability coefficient, the equality constraints of the state probabilities, and the inequality constraints of the feasible range of the maintenance period and the acceptable annual economic loss, an optimization model is proposed to find the optimal maintenance period. Based on Lagrange multipliers, the sensitivities of the objective function to the constraints of the maintenance period are derived. Compared with the continually modifying parameters, the proposed optimization and sensitivity models are more efficient, and can handle multiple parameters. The numerical results show the feasibility and the application value of the proposed models.
This work is supported by the Science and Technology Project of State Grid Corporation of China “Research on Intrinsic Safety Improvement Technology of Security and Stability Control System for AC/DC Power Grid” (No. 5100-201940006A-0-0-00). |
| Key words: security and stability control system unavailability risk preventive maintenance period optimization sensitivity |
