Load Frequency Control of a Multi-Area Power System Penetrated with a Wind Station for Better Performance Enhancement

Faculty Engineering Year: 2023
Type of Publication: ZU Hosted Pages:
Authors:
Journal: 24th International Middle East Power Systems Conference (MEPCON), Mansoura University, Egypt 19-21 December 2023 24th International Middle East Power Systems Conference (MEPCON), Mansoura University, Egypt 19-21 December 2023 Volume:
Keywords : Load Frequency Control , , Multi-Area Power System    
Abstract:
Abstract—it is a bad idea when hearing that fossil fuel is almost run out. Researchers always keeping on eyes this problem and try to find alternatives. One of this alternatives is the Renewable Energy Resources (RESs). When RESs penetrated conventional power systems, uncertainty and sudden load frequency deviation are expected to occur that may lead to instability in power systems. To hold over the power system frequency stability and the power flow in transmission lines to their rated values, Load Frequency Control (LFC) is an important factor to achieve better stability performance. LFC plays an important role in balancing the generation against the load electric demand. This paper addresses the usage of a simple shifted PI controller as a load frequency controller in two similar areas, each containing three different units when one of which is penetrated with a wind energy station as a seventh unit. Simulation results will demonstrate the effects of the proposed controller when it can diminish the variation in load frequency and leads to obtain a better stability performance.
   
     
 
       

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  • Mohammed Abdelfattah Mohamed Farahat, "A New Approach for Short-Term Load Forecasting Using Curve Fitting Prediction Optimized by Genetic Algorithms", IEEE, 2010 More
  • Mohammed Abdelfattah Mohamed Farahat, "Short-Term Load Forecasting Using Curve Fitting Prediction Optimized by Genetic Algorithms", SAP journals, 2012 More
  • Mohammed Abdelfattah Mohamed Farahat, "The Using of Curve Fitting Prediction Optimized by Genetic Algorithms for Short-Term Load Forecasting", Praise Worthy Prize, 2012 More
  • Mohammed Abdelfattah Mohamed Farahat, "A New Artificial Neural Network Approach with Selected Inputs for Short Term Electric Load Forecasting", Praise Worthy Prize, 2008 More
  • Mohammed Abdelfattah Mohamed Farahat, "Factors Affecting the Life Time of the Electric Joints", Cairo University, 2010 More

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