Real Time Simulation for Load Frequency Control of Multisource Microgrid System Using Grey Wolf Optimization Based Modified Bias Coefficient Diagram Method (GWO-MBCDM) Controller

2020 ◽  
Vol 16 (1) ◽  
pp. 205-221
Author(s):  
Badal Kumar ◽  
Shuma Adhikari ◽  
Subir Datta ◽  
Nidul Sinha
Keyword(s):  
Real Time ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Diagram Method ◽  
Real Time Simulation ◽  
Load Frequency ◽  
Time Simulation ◽  
Coefficient Diagram Method

Secondary load frequency control for multi-microgrids: HiL real-time simulation

2018 ◽  
Vol 23 (14) ◽  
pp. 5785-5798 ◽  
Author(s):  
Meysam Gheisarnejad ◽  
Mohammad Hassan Khooban
Keyword(s):  
Real Time ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Real Time Simulation ◽  
Load Frequency ◽  
Time Simulation ◽  
Secondary Load

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.

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