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Power System Load Frequency Control Using Combined Intelligent Techniques
Abstract
The load frequency control (LFC) is to maintain the power balance in the electrical power system such that the system’s frequency deviates from its nominal value to within specified limits and according to practically acceptable dynamic performance of the system. The control strategy evolved may also result in overall high efficiency (fuel saving) and minimum additional equipment to avoid cost, maintenance etc. The supplementary controller i.e. of a diesel or steam turbine generating unit, called the load frequency controller, may satisfy these requirements. The function of the controller is to generate, raise or lower command signals to the speed-gear changer of the prime mover (i.e. diesel engine) in response to the frequency error signal by performing mathematical manipulations of amplification and integration of this signal. The speed-gear changer must not act too fast, as it will cause wear and tear of the engine and, also, should not act too slow, as it will deteriorate system’s performance. Therefore, an optimum load frequency controller is required for satisfactory operation of the system. In this Chapter, intelligent controllers for the LFC problem are analyzed and discussed. The use of any single technique or even a combination of genetic algorithms, fuzzy logic and neural networks is explored instead of conventional methods.
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