Analysis on Various Optimization Technique Used for Load Frequency Control

2021 ◽  
pp. 471-477
Author(s):  
Mohammed Asim ◽  
Archana Verma ◽  
Ahmed Riyaz
Keyword(s):  
Frequency Control ◽  
Optimization Technique ◽  
Load Frequency Control ◽  
Load Frequency

scholarly journals Load Frequency Control Using Hybrid Intelligent Optimization Technique for Multi-Source Power Systems

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1581
Author(s):  
Deepak Kumar Gupta ◽  
Amitkumar V. Jha ◽  
Bhargav Appasani ◽  
Avireni Srinivasulu ◽  
Nicu Bizon ◽  
...  
Keyword(s):  
Power Plant ◽  
Power System ◽  
Frequency Control ◽  
Optimization Technique ◽  
Load Frequency Control ◽  
Frequency Deviation ◽  
Source Power ◽  
Load Frequency ◽  
Tie Line

The automatic load frequency control for multi-area power systems has been a challenging task for power system engineers. The complexity of this task further increases with the incorporation of multiple sources of power generation. For multi-source power system, this paper presents a new heuristic-based hybrid optimization technique to achieve the objective of automatic load frequency control. In particular, the proposed optimization technique regulates the frequency deviation and the tie-line power in multi-source power system. The proposed optimization technique uses the main features of three different optimization techniques, namely, the Firefly Algorithm (FA), the Particle Swarm Optimization (PSO), and the Gravitational Search Algorithm (GSA). The proposed algorithm was used to tune the parameters of a Proportional Integral Derivative (PID) controller to achieve the automatic load frequency control of the multi-source power system. The integral time absolute error was used as the objective function. Moreover, the controller was also tuned to ensure that the tie-line power and the frequency of the multi-source power system were within the acceptable limits. A two-area power system was designed using MATLAB-Simulink tool, consisting of three types of power sources, viz., thermal power plant, hydro power plant, and gas-turbine power plant. The overall efficacy of the proposed algorithm was tested for two different case studies. In the first case study, both the areas were subjected to a load increment of 0.01 p.u. In the second case, the two areas were subjected to different load increments of 0.03 p.u and 0.02 p.u, respectively. Furthermore, the settling time and the peak overshoot were considered to measure the effect on the frequency deviation and on the tie-line response. For the first case study, the settling times for the frequency deviation in area-1, the frequency deviation in area-2, and the tie-line power flow were 8.5 s, 5.5 s, and 3.0 s, respectively. In comparison, these values were 8.7 s, 6.1 s, and 5.5 s, using PSO; 8.7 s, 7.2 s, and 6.5 s, using FA; and 9.0 s, 8.0 s, and 11.0 s using GSA. Similarly, for case study II, these values were: 5.5 s, 5.6 s, and 5.1 s, using the proposed algorithm; 6.2 s, 6.3 s, and 5.3 s, using PSO; 7.0 s, 6.5 s, and 10.0 s, using FA; and 8.5 s, 7.5 s, and 12.0 s, using GSA. Thus, the proposed algorithm performed better than the other techniques.

scholarly journals Optimization Technique Inspired Load Frequency Controller for Multi Area Power System with Renewable Energy Source

2021 ◽  
Vol 850 (1) ◽  
pp. 012017
Author(s):  
J Shri Saranyaa ◽  
A Peer Fathima ◽  
Asutosh Mishra ◽  
Rushali Ghosh ◽  
Shalmali Das
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Control Method ◽  
Frequency Control ◽  
Renewable Energy Sources ◽  
Optimization Technique ◽  
Optimization Method ◽  
Load Frequency Control ◽  
Load Frequency ◽  
The Individual

Abstract Modern day scenario has an increasing power demand due to the growing development which indeed increases the load on the generation which might cause turbulence in the system and may bounce out of stability. The governor itself can’t handle such frequent load changes and adjust the generation amount to keep the frequency between the margins. This paper proposes an approach towards such predicament to incorporate an optimization method in order to ensure stability of the system despite the drastic changes in demand. Load frequency control is a control method for maintaining the frequency of the system during the change in demand. Use of controllers has proven to be effective in controlling the frequency deviations in the power systems and the response of the controller is further improved using optimization technique for better stability. The PID controller tuned by Particle Swarm Optimization is employed in multi-area system which reduces the time response by a considerable amount and the deviation settles much quicker despite the rapid load changes. The proposed controller is executed further for renewable energy sources connected to the individual areas and demonstration proves that the optimized controller is efficient enough in handling the frequency deviations when wind and solar with sunlight penetration is incorporated.

scholarly journals Optimal fuzzy-PID controller with derivative filter for load frequency control including UPFC and SMES

2019 ◽  
Vol 9 (4) ◽  
pp. 2813 ◽  
Author(s):  
Tarakanta Jena ◽  
Manoj Kumar Debnath ◽  
Smaran Kumar Sanyal
Keyword(s):  
Pid Controller ◽  
Control Method ◽  
Magnetic Energy ◽  
Frequency Control ◽  
Optimization Technique ◽  
Load Frequency Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller ◽  
Load Frequency ◽  
Derivative Filter

A newly adopted optimization technique known as sine-cosine algorithm (SCA) is suggested in this research article to tune the gains of Fuzzy-PID controller along with a derivative filter (Fuzzy-PIDF) of a hybrid interconnected system for the Load Frequency Control (LFC). The scrutinized multi-generation system considers hydro, gas and thermal sources in all areas of the dual area power system integrated with UPFC (unified power flow controller) and SMES (Super-conducting magnetic energy storage) units. The preeminence of the offered Fuzzy-PIDF controller is recognized over Fuzzy-PID controller by comparing their dynamic performance indices concerning minimum undershoot, settling time and also peak overshoot. Finally, the sensitiveness and sturdiness of the recommended control method are proved by altering the parameters of the system from their nominal values and by the implementation of random loading in the system.

scholarly journals Tidal Supplementary Control Schemes-Based Load Frequency Regulation of a Fully Sustainable Marine Microgrid

Inventions ◽  
2020 ◽  
Vol 5 (4) ◽  
pp. 53 ◽  
Author(s):  
Hady H. Fayek ◽  
Behnam Mohammadi-Ivatloo
Keyword(s):  
Fractional Order ◽  
Frequency Control ◽  
Optimization Technique ◽  
Load Frequency Control ◽  
Black Widow ◽  
Simulation And Optimization ◽  
Load Frequency ◽  
Systems Model ◽  
Non Linear ◽  
Fractional Order Integrator

The world is targeting fully renewable power generation by the middle of the century. Distributed generation is the way to increase the penetration level of renewable energies. This paper presents load frequency control of a hybrid tidal, wind, and wave microgrid to feed an isolated island. This research is a step towards 100% renewable energy communities in remote seas/oceans islands. The wave and tidal generation systems model are presented. The study presents load frequency control through three supplementary control strategies: conventional integrators, fractional order integrator, and non-linear fractional order integrator. All the controllers of the microgrid are designed by using a novel black widow optimization technique. The applied technique is compared to other existing state-of-the-art algorithms. The results show that the black widow non-linear fractional integrator has a better performance over other strategies. Coordination between the unloaded tidal system and blade pitch control of both wind and tidal systems are adopted in the microgrid to utilize the available reserve power for the frequency support. Simulation and optimization studies are performed using the MATLAB/SIMULINK 2017a software application.

scholarly journals Sensitivity Analysis of Load Frequency Control Problem considering impact of Wind Penetration using improved Harris Hawks Optimizer

2019 ◽  
Vol 9 (2) ◽  
pp. 195-205 ◽  
Keyword(s):  
Sensitivity Analysis ◽  
Frequency Control ◽  
Optimization Technique ◽  
Load Frequency Control ◽  
Gray Wolf ◽  
Loading Effect ◽  
Multi Objective ◽  
Load Frequency ◽  
A New Technique ◽  
Valve Point Loading Effect

This paper suggest a new technique known as Harris’s Hawk Optimizer which is used to solve multi objective constraints. This optimizer is predicated on gray wolf multi objective optimisation approach and intended by symbiotic trapping behavior of Harris’s Hawk. These hawks are called as wolf bundle of azure. Here in this paper the sensitivity analysis to judge robustness with Harris hawk optimization technique for load frequency control is effectually and consistently presented. The result indicates unimodel and multimodel for various benchmarking functions examining sensitivity analysis and the valve point loading effect. The concluding results gained using improved HHO are compared with other algorithms and found to be encouraging.

scholarly journals Optimization of PID controller parameters using PSO for two area load frequency control

2019 ◽  
Vol 8 (4) ◽  
pp. 256
Author(s):  
Brijesh Kumar Dubey ◽  
N. K. Singh ◽  
Sameer Bhambri
Keyword(s):  
Power System ◽  
Pid Controller ◽  
Frequency Control ◽  
Optimization Technique ◽  
State Space Model ◽  
Load Frequency Control ◽  
Integral Control ◽  
Load Frequency ◽  
Eigen Value ◽  
Particle Swarm Optimization Technique

In this paper, an evolutionary computing approach for determining the optimal values for the proportional-integral-derivative (PID) controller parameters of load frequency control (LFC) of two area power system is presented. The proposed approach employs a particle swarm optimization technique to find optimum parameters. The state space model of two area power system and an Eigen value based objective function is considered. The effectiveness of the proposed approach is compared with integral control. Simulation results justify the proposed approach in terms of damping the oscillations, improved settling time, less over/under shoots.

Sign in / Sign up

Export Citation Format

Share Document