Designing a GA-Based Robust Controller For Load Frequency Control (LFC)
نویسندگان
چکیده
منابع مشابه
Design of Model Predictive Controller (MPC) for Load Frequency Control (LFC) in an Interconnected Power System
In the power system, any sudden load changes leads to the deviation in tie-line power and the frequency. So load frequency control is an issue in power system operation and control for supplying sufficient and reliable electric power with good quality. The main goal of the load frequency control of a power system is to maintain the frequency of each area and tie-line power flow with in prescrib...
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Bayesian Networks (BN) provides a robust probabilistic method of reasoning under uncertainty. They have been successfully applied in a variety of real-world tasks but they have received little attention in the area of load-frequency control (LFC). In practice, LFC systems use proportional-integral controllers. However since these controllers are designed using a linear model, the nonlinearities...
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In this paper, a robust genetic algorithm (GA) based multi-stage fuzzy (MSF) controller is proposed for solution of the load frequency control (LFC) problem in a restructured power system that operates under deregulation based on the bilateral policy scheme. In this strategy, the control signal is tuned online from the knowledge base and the fuzzy inference, which request fewer sources and has ...
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A novel design of a robust decentralized load frequency control (LFC) algorithm is proposed for an inter-connected three-area power system, for the purpose of regulating area control error (ACE) in the presence of system uncertainties and external disturbances. The design is based on the concept of active disturbance rejection control (ADRC). Estimating and mitigating the total effect of variou...
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This paper incorporates the techniques of design of an optimal neural network controller for load frequency control(LFC) to regulate the power output as well as the system frequency of a two-area power system by controlling the speed of the generator by means of controlling the steam flow. The controller is obtained using a combination of genetic algorithm, and neural network. The aim of the co...
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ژورنال
عنوان ژورنال: Engineering, Technology & Applied Science Research
سال: 2018
ISSN: 1792-8036,2241-4487
DOI: 10.48084/etasr.1592