A novel quasi-oppositional harmony search algorithm for automatic generation control of power system

2015 ◽  
Vol 35 ◽  
pp. 749-765 ◽  
Author(s):  
Chandan Kumar Shiva ◽  
V. Mukherjee
Keyword(s):  
Power System ◽  
Search Algorithm ◽  
Harmony Search ◽  
Automatic Generation ◽  
Harmony Search Algorithm ◽  
Automatic Generation Control ◽  
Generation Control

scholarly journals Automatic generation control of a two area power system implementing IDDF controller under restructured environment

2018 ◽  
Vol 7 (2.12) ◽  
pp. 352
Author(s):  
Sayantan Sinha ◽  
Ranjan Kumar Mallick ◽  
Monalisha Mohapatra ◽  
Rohit Kumar Giri
Keyword(s):  
Power System ◽  
Search Algorithm ◽  
Automatic Generation ◽  
Automatic Generation Control ◽  
Random Loading ◽  
Thermal Plant ◽  
Area Control Error ◽  
Proposed Model ◽  
Generation Control ◽  
Load Perturbations

This paper presents the Automatic generation control of an interlinked power system in a restructured environment. The model consists of a hydro plant, a thermal plant and a diesel plant incorporated in both areas. The Area Control Error (ACE) is minimized with the help of a new controller called the Integral Double Derivative controller (IDDF) employed as a secondary controller in the proposed model. The controller parameters are optimized by a novel optimization scheme called the Lightning Search Algorithm. The proposed model is simulated under two market scenarios. The robustness of the system is also examined under step load perturbations, random loading conditions and parameter variation. The settling time of the IDDF controller is put to comparison with the PID controller and the supremacy is established. 

scholarly journals Performance Evaluation of Antlion Optimizer Based Regulator in Automatic Generation Control of Interconnected Power System

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Esha Gupta ◽  
Akash Saxena
Keyword(s):  
Power System ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Absolute Error ◽  
Automatic Generation ◽  
Automatic Generation Control ◽  
Real Problem ◽  
Objective Functions ◽  
Interconnected Power System ◽  
Generation Control

This paper presents an application of the recently introduced Antlion Optimizer (ALO) to find the parameters of primary governor loop of thermal generators for successful Automatic Generation Control (AGC) of two-area interconnected power system. Two standard objective functions, Integral Square Error (ISE) and Integral Time Absolute Error (ITAE), have been employed to carry out this parameter estimation process. The problem is transformed in optimization problem to obtain integral gains, speed regulation, and frequency sensitivity coefficient for both areas. The comparison of the regulator performance obtained from ALO is carried out with Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Gravitational Search Algorithm (GSA) based regulators. Different types of perturbations and load changes are incorporated to establish the efficacy of the obtained design. It is observed that ALO outperforms all three optimization methods for this real problem. The optimization performance of ALO is compared with other algorithms on the basis of standard deviations in the values of parameters and objective functions.

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