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

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.

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

Energies ◽

10.3390/en14061581 ◽

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.

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Application of multi-objective PID controller for load frequency control in two-area nonlinear electric power systems

International Journal of Power and Energy Conversion ◽

10.1504/ijpec.2016.076525 ◽

2016 ◽

Vol 7 (2) ◽

pp. 139 ◽

Cited By ~ 1

Author(s):

Magdy A.S. Aboelela

Keyword(s):

Power Systems ◽

Electric Power ◽

Pid Controller ◽

Frequency Control ◽

Electric Power Systems ◽

Load Frequency Control ◽

Multi Objective ◽

Load Frequency

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

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/850/1/012017 ◽

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.

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