| Citation:Pratap Chabdra Nayak,Ramesh Ch,ra Prusty,Sidhartha P,a.Grasshopper optimization algorithmoptimized multistage controller forautomatic generation control of a powersystem with FACTS devices[J].Protection and Control of Modern Power Systems,2021,V6(1):109-123[Copy] |
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| Abstract: |
| This paper uses a Grasshopper Optimization Algorithm (GOA) optimized PDF plus (1+ PI) controller for Automatic
generation control (AGC) of a power system with Flexible AC Transmission system (FACTS) devices. Three differently
rated reheat turbine operated thermal units with appropriate generation rate constraint (GRC) are considered along
with different FACTS devices. A new multistage controller design structure of a PDF plus (1 + PI) is introduced in the
FACTS empowered power system for AGC while the controller gains are tuned by the GOA. The superiority of the
proposed algorithm over the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithms is
demonstrated. The dynamic responses of GOA optimized PDF plus (1+ PI) are compared with PIDF, PID and PI
controllers on the same system. It is demonstrated that GOA optimized PDF plus (1+ PI) controller provides
optimum responses in terms of settling time and peak deviations compared to other controllers. In addition, a
GOA-tuned PDF plus (1 + PI) controller with Interline Power Flow Controller (IPFC) exhibits optimal results compared
to other FACTS devices. The sturdiness of the projected controller is validated using sensitivity analysis with
numerous load patterns and a wide variation of parameterization. To further validate the real-time feasibility of the
proposed method, experiments using OPAL-RT OP5700 RCP/HIL and FPGA based real-time simulations are carried
out. |
| Key words: Automatic generation control, FACTS devices, Multistage controller, Grasshopper optimization algorithm |
| DOI：10.1186/s41601-021-00187-x |
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| Fund: |
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