文章基本信息

标题：Power System Dynamic stability Control and its On-Line Rule Tuning Using Grey Fuzzy
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作者：Pratibha Srivastav ; Manoj Jha ; M.F.Qureshi 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2014
卷号：3
期号：6
页码：14152
出版社：S&S Publications
摘要：In this paper, we proposed an effective method to design the power system stabilizers (PSS). The design ofa PSS based on Grey Fuzzy PID Control (PSS+GFPIDC) can be formulated as an optimal linear regulator controlproblem; however, implementing this technique requires the design of estimators. This increases the implementationand reduces the reliability of control system. Therefore, we favor a control scheme that uses only some desired statevariables, such as torque angle and speed. The grey PID type fuzzy controller (GFPIDC) designed in this paper, canpredict the future output values of the system accurately. However, the forecasting step-size of the grey controllerdetermines the forecasting value. When the step-size of the grey controller is large, it will cause over compensation,resulting in a slow system response. Conversely, a smaller step-size will make the system respond faster but causelarger overshoots. The value of the forecasting step-size is optimized according to the values of error and the derivativeof the error. Moreover, the output of the grey controller is updated using the prediction error for better controllerperformance. An on-line rule tuning grey prediction fuzzy control system is also presented in this paper, which containsthe advantage of the grey prediction, fuzzy theory and the on-line tuning algorithm. The on-line rule tuning greyprediction fuzzy control system structure is constructed so that the rise time and the overshoot of the controlled systemcan be maintained simultaneously.
关键词：PID Controller; Power System Stabilizer (PSS); Synchronous Generator; Grey predictor; Fuzzy control;system; On-line rule tuning; Power Systems Stability; Grey Prediction