| 引用本文: | 唐亚迪,徐永海,洪旺松.基于模糊控制模型的电压暂降监测装置优化配置[J].电力自动化设备,2015,35(8): |
| TANG Yadi,XU Yonghai,HONG Wangsong.Allocation optimization based on fuzzy control model for voltage-sag monitors[J].Electric Power Automation Equipment,2015,35(8): |
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| 摘要: |
| 提出了一种基于模糊控制模型和粒子群算法的电压暂降监测装置的优化配置方法。针对传统基于可观测区域（MRA）的方法的不足，提出了模糊阈值和观测指数的概念。考虑监测点观测能力，建立模糊控制模型以构造优化目标函数，进而采用离散粒子群优化（BPSO）算法对电压暂降监测装置进行优化配置。通过 IEEE 30节点测试系统对所提方法进行仿真分析，并将所提方法和传统方法得到的配置结果相比较，结果表明所提方法不仅实现了全网电压暂降的完全可观测，而且实现了监测装置的最优配置。 |
| 关键词: 电压暂降 监测 优化 模糊控制 模糊阈值 观测指数 离散粒子群优化算法 模型 |
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| 基金项目:国家自然科学基金资助项目（51277069） |
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| Allocation optimization based on fuzzy control model for voltage-sag monitors |
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TANG Yadi, XU Yonghai, HONG Wangsong
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School of Electrical ＆ Electronic Engineering，North China Electric Power University，Beijing 102206，China
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| Abstract: |
| A method of allocation optimization based on the fuzzy control model and the particle swarm algorithm is proposed for the voltage-sag monitors. The concept of fuzzy threshold and observation index are put forward to avoid the defects of the traditional method based on the MRA（Monitor Reach Area）. A fuzzy control model considering the observation ability of monitoring points is established to construct the optimal objective function and the BPSO（Binary Particle Swarm Optimization） algorithm is applied to optimize the allocation of voltage-sag monitors. The proposed method is simulated and analyzed with IEEE 33-bus system and the optimized allocation is compared with that by the MRA-based method，which shows that，the complete voltage-sag observability of whole power grid and the optimal allocation of voltage-sag monitors are realized by the proposed method. |
| Key words: voltage sag monitoring optimization fuzzy control fuzzy threshold observation index BPSO algorithm models |
