Grasshopper Algorithm Optimized Fractional Order Fuzzy PID Frequency Controller for Hybrid Power Systems
Autor: | A.K. Barisal, Deepak Kumar Lal |
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Rok vydání: | 2019 |
Předmět: |
0209 industrial biotechnology
020901 industrial engineering & automation Computer science Order (business) Control theory 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 02 engineering and technology Electrical and Electronic Engineering Hybrid power Fuzzy pid Electronic Optical and Magnetic Materials |
Zdroj: | Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering). 12:519-531 |
ISSN: | 2352-0965 |
DOI: | 10.2174/2352096511666180717142058 |
Popis: | Background:Due to the increasing demand for the electrical power and limitations of conventional energy to produce electricity.Methods:Now the Microgrid (MG) system based on alternative energy sources are used to provide electrical energy to fulfill the increasing demand. The power system frequency deviates from its nominal value when the generation differs the load demand. The paper presents, Load Frequency Control (LFC) of a hybrid power structure consisting of a reheat turbine thermal unit, hydropower generation unit and Distributed Generation (DG) resources.Results:The execution of the proposed fractional order Fuzzy proportional-integral-derivative (FO Fuzzy PID) controller is explored by comparing the results with different types of controllers such as PID, fractional order PID (FOPID) and Fuzzy PID controllers. The controller parameters are optimized with a novel application of Grasshopper Optimization Algorithm (GOA). The robustness of the proposed FO Fuzzy PID controller towards different loading, Step Load Perturbations (SLP) and random step change of wind power is tested. Further, the study is extended to an AC microgrid integrated three region thermal power systems.Conclusion:The performed time domain simulations results demonstrate the effectiveness of the proposed FO Fuzzy PID controller and show that it has better performance than that of PID, FOPID and Fuzzy PID controllers. The suggested approach is reached out to the more practical multi-region power system. Thus, the worthiness and adequacy of the proposed technique are verified effectively. |
Databáze: | OpenAIRE |
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