Automatic generation controller for multi area multisource regulated power system using grasshopper optimization algorithm with fuzzy predictive PID controller

2020 ◽  
Vol 34 (1) ◽  
Author(s):  
Rajiv Kumar ◽  
V.K. Sharma
Keyword(s):  
Power System ◽  
Optimization Algorithm ◽  
Pid Controller ◽  
Automatic Generation ◽  
Grasshopper Optimization Algorithm ◽  
Grasshopper Optimization

scholarly journals Grasshopper optimization algorithm optimized multistage controller for automatic generation control of a power system with FACTS devices

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Pratap Chabdra Nayak ◽  
Ramesh Chandra Prusty ◽  
Sidhartha Panda
Keyword(s):  
Power System ◽  
Real Time ◽  
Optimization Algorithm ◽  
Automatic Generation ◽  
Pi Controller ◽  
Automatic Generation Control ◽  
Facts Devices ◽  
Grasshopper Optimization Algorithm ◽  
Grasshopper Optimization ◽  
Generation Control

AbstractThis 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.

scholarly journals Enhanced Chaotic Grasshopper Optimization Algorithm Based PID Controller for Automatic Voltage Regulator System

2019 ◽  
Vol 8 (4) ◽  
pp. 348-354
Keyword(s):  
Optimization Algorithm ◽  
Pid Controller ◽  
Controller Design ◽  
System Response ◽  
Voltage Regulator ◽  
Minimum Error ◽  
Avr System ◽  
Grasshopper Optimization Algorithm ◽  
Pid Controller Design ◽  
Grasshopper Optimization

This work presents, the PID controller design for AVR system using Enhanced Chaotic Grasshopper Optimization Algorithm (ECGOA). The system response under the different settings are studied with PID controller for stable and minimum error operation. The gain of the controller revealed from traditional methods to recent optimization algorithm. The ECGOA will be implemented for AVR system with PID controller and the performance in-terms of transient response, robustness, stability and error is compared with existing optimization algorithm. The ECGOA based PID controller provides good response and examined upto ±50% of variation in several component of AVR system

A novel cascaded fuzzy PD-PI controller for load frequency study of solar-thermal/wind generator-based interconnected power system using grasshopper optimization algorithm

2020 ◽  
pp. 002072092093036
Author(s):  
Debasis Tripathy ◽  
NB Dev Choudhury ◽  
BK Sahu
Keyword(s):  
Power System ◽  
Optimization Algorithm ◽  
Pi Controller ◽  
Solar Thermal ◽  
Proportional Integral Derivative ◽  
Proportional Integral ◽  
Load Frequency ◽  
Grasshopper Optimization Algorithm ◽  
Grasshopper Optimization ◽  
Fuzzy Pd

This work analyses the load-frequency responses of a multi-unit based two-area power system by proposing a novel cascaded fuzzy Proportional Derivative-Proportional Integral (PD-PI) controller tuned with a recently proposed grasshopper optimization algorithm. Performance of the power system comprising of conventional sources like hydro and thermal generating units is evaluated by cascaded fuzzy PD-PI controller optimised by grasshopper optimization algorithm. The potential of grasshopper optimization algorithm is validated by comparing with other algorithms. Further, load-frequency response is studied by penetrating solar-thermal and wind power generating units into the recommended system. The power system integrated with renewable sources puts forth a great stability challenge in the wake of high load perturbation. Hence, a robust secondary controller named cascaded fuzzy PD-PI controller is designed by endorsing a profound grasshopper optimization algorithm technique, to tackle this stability challenge. The credibility of the cascaded fuzzy PD-PI controller with/without nonlinearities presented in the system is validated by comparing the results obtained from proportional–integral–derivative and fuzzy-proportional–integral–derivative controllers. Besides this, the performance of the system under highly perturbed step load variation confers the robustness of the proposed method.

Grasshopper Optimization Algorithm-Based Fuzzy-2DOF-PID Controller for LFC of Interconnected System With Nonlinearities

2021 ◽  
Vol 12 (3) ◽  
pp. 11-29
Author(s):  
Debasis Tripathy ◽  
Nalin Behari Dev Choudhury ◽  
Binod Kumar Sahu
Keyword(s):  
Optimization Algorithm ◽  
Pid Controller ◽  
Firefly Algorithm ◽  
Pattern Search ◽  
Optimization Techniques ◽  
Degree Of Freedom ◽  
Pid Controllers ◽  
Grasshopper Optimization Algorithm ◽  
Grasshopper Optimization ◽  
Two Degree Of Freedom

The load frequency control (LFC) is an automation scheme employed for an interconnected power system to overcome the frequency deviation issue because of load variation in the most economical way. This work puts an earliest effort to study the LFC issue of a three-area power systems including nonlinearities using fuzzy-two degree of freedom-PID (F-2DOF-PID) controller optimized with grasshopper optimization algorithm (GOA). Initially, GOA optimized PID controllers are considered for a two area non-reheat thermal system including generation rate constraint to validate the superiority over PID controllers tuned with some recently reported optimization techniques, such as hybrid firefly algorithm-pattern search, firefly algorithm, bacteria foraging optimization algorithm, genetic algorithm, and conventional Ziegler Nichols technique. Then the work is reconsidered for the same system to verify the supremacy of F-2DOF-PID controller over other controllers such as fuzzy-PID, two degree of freedom-PID, and PID with GOA framework. Furthermore, the study is extended to a three-area system considering the effect of nonlinearities to verify effectiveness and robustness of proposed controller.

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