Multi-scenario Passive Filter Planning by Using Markov Model and Probabilistic Fuzzy Reasoning

• Main Authors: Shi-Wei Huang, 黃士瑋
• Other Authors: Ying-Yi Hong
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/30216449350872917177

碩士 === 中原大學 === 電機工程研究所 === 101 === Power quality may degrade owing to increasing harmonics from nonlinear loads in a distribution system. Harmonics, which are time-varying and non-stationary, are the steady-state power quality problems in the distribution system. Therefore, the passive filter planning study should consider multiple scenarios, including different load levels and harmonic currents. Based on the above factors and use of the Markov model, this work attempts to gain multiple scenarios, each with its own probability and duration. A novel method based on probabilistic Sugeno fuzzy reasoning is also developed by using individual optimal solutions of all scenarios. Moreover, the final optimal solution is obtained using the center-of-gravity approach. The proposed method is validated using simulation results of a 2-bus and an 18-bus distribution systems.