Grey Wolf Optimization to Solve Load Frequency Control of an Interconnected Power System

2016 ◽  
Vol 5 (4) ◽  
pp. 62-83 ◽  
Author(s):  
Dipayan Guha ◽  
Provas Kumar Roy ◽  
Subrata Banerjee
Keyword(s):  
Power System ◽  
Pid Controller ◽  
Frequency Control ◽  
Thermal Power ◽  
Load Frequency Control ◽  
Fine Tuning ◽  
Average Error ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Load Frequency

In this article, a novel optimization algorithm called grey wolf optimization (GWO) with the theory of quasi-oppositional based learning (Q-OBL) is proposed for the first time to solve load frequency control (LFC) problem. An equal two-area thermal power system equipped with classical PID-controller is considered for this study. The power system network is modeled with governor dead band and time delay nonlinearities to get better insight of LFC system. 1% load perturbation in area-1 is considered to appraise the dynamic behavior of concerned power system. Integral time absolute error and least average error based fitness functions are defined for fine tuning of PID-controller gains employing the proposed method. An extensive comparative analysis is performed to establish the superiority of proposed algorithm over other recently published algorithms. Finally, sensitivity analysis is performed to show the robustness of the designed controller with system uncertainties.

scholarly journals Multi-Area Load Frequency Control of Hydro-Thermal-Wind Power Based on Improved Grey Wolf Optimization Algorithm

2020 ◽  
Vol 26 (6) ◽  
pp. 32-39
Author(s):  
Fannie Kong ◽  
Jinfang Li ◽  
Daliang Yang
Keyword(s):  
Wind Power ◽  
Optimization Algorithm ◽  
Pid Controller ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Grey Wolf Optimizer ◽  
Random Disturbance ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Load Frequency

The mathematical model of load frequency control is established in the interconnected power system of hydro, thermal, and wind for solving the problem of frequency instability in this paper. Besides, the improved grey wolf optimization algorithm (GWO) is presented based on the offspring grey wolf optimizer (OGWO) search strategy to handle local convergence for the GWO algorithm in the later stage. The experimental results show that the improved grey wolf algorithm has a superior optimization ability for the standard test function. The traditional proportional integral derivative (PID) controller cannot track the random disturbance of wind power in the hydro, thermal, and wind interconnected power grid. However, the proposed OGWO dynamically adjusts the PID controller control parameters to follow the wind power random disturbance, regional frequency deviation, and tie-line power deviation.

Design of Specification Oriented Compensator with a PID Controller for Load Frequency Control

2014 ◽  
Vol 573 ◽  
pp. 248-253
Author(s):  
Soundarapandian Anbarasi ◽  
Srinivasan Muralidharan
Keyword(s):  
Power System ◽  
Pid Controller ◽  
Frequency Control ◽  
Thermal Power ◽  
Absolute Error ◽  
Load Frequency Control ◽  
Integration Time ◽  
Load Frequency ◽  
Thermal Power System ◽  
The Stability

This paper proposes a design of Specification Oriented Compensator (SOC) with a Proportional Integral Derivative (PID) controller for Load frequency Control (LFC) in a thermal power system. The phase margin which is derived from the computationally tuned response of PID controller is considered as a desirable specification and it is used to design the compensator. The different structures of compensator like lead, lag and lead-lag were first simulated in a single area power system and better results are found in Specification Oriented Lead Compensator (SOLC). The simulation study of two area thermal power system with SOLC is then performed and their frequency deviation and tie-line power deviation characteristics are compared with conventional PID controller, Integral controller and also with a non controller system. The Integral Absolute Error (IAE) and Integration Time Absolute Error (ITAE) are considered as performance indices to scrutinize the system robustness. The simulation studies clearly reveal the superiority of the proposed SOLC with PID controller over others in way of enhanced system transient response, improved the stability and robustness of the system. All the simulations in this paper are performed using Matlab software.

Sign in / Sign up

Export Citation Format

Share Document