Design of particle swarm optimization ( PSO ) based automatic generation control ( AGC ) regulator with different cost functions
نویسنده
چکیده
This article deals with the tuning of the parameters for automatic generation control (AGC) of three-area interconnected power system. Areas of the power system consists of reheat thermal turbines with proportional-integral (PI) regulator. Particle swarm optimization (PSO) algorithm has been applied to optimize the regulator parameters. The effectiveness of different cost functions through PSO is considered which is based on the variation in area control errors (ACEs) of all the areas. Cost functions like integral square error (ISE), integral absolute value of the error (IAE), integral time-multiplied square error (ITSE) and integral time-multiplied absolute value of the error (IATE) are investigated. Performance of the proposed optimization algorithm is compared with traditional Ziegler Nichols (ZN) technique for the AGC problems of the power systems.
منابع مشابه
Optimizing the AGC system of a three-unequal-area hydrothermal system based on evolutionary algorithms
This paper focuses on expanding and evaluating an automatic generation control (AGC) system of a hydrothermal system by modelling the appropriate generation rate constraints to operate practically in an economic manner. The hydro area is considered with an electric governor and the thermal area is modelled with a reheat turbine. Furthermore, the integral controllers and electri...
متن کاملPSO based Single and Two Interconnected Area Predictive Automatic Generation Control
This paper presents a Particle Swarm Optimization (PSO) based Model Predictive Control (MPC) scheme applied to Automatic Generation Control (AGC) systems. The proposed scheme formulates the MPC as an optimization problem and PSO is used to find its solution. Single area AGC model is taken incorporating Generation Rate Constraint (GRC) nonlinearities and constraints on the control input. Two int...
متن کاملOptimization of Automatic Generation Control Scheme with Pso Tuned Fuzzy Pid Controller And Comparision With Conventional Pso Pid Controller
Automatic generation control or AGC system is substantial control process that operates perpetually to balance the generation and load in power system at minimum cost. If any kind of mismatch occurs between generation and demand causes the variation in the system frequency from its nominal value. This high frequency deviation may cause system breakdown. In order to maintain the stability, a ver...
متن کاملPSO Based Predictive Nonlinear Automatic Generation Control
This paper presents a newly proposed Model Predictive (MPC) scheme featuring Particle Swarm Optimization (PSO) technique applied to nonlinear single area Automatic Generation Control (AGC). The proposed scheme formulates the MPC as an optimization problem and PSO is used to find its solution. Single area AGC model is used and it incorporates Generation Rate Constraint (GRC) nonlinearities and c...
متن کاملApplication of Artificial Intelligence for Tuning the Parameters of an AGC
This paper deals with the tuning of parameters for Automatic Generation Control (AGC). A two area interconnected hydrothermal system with PI controller is considered. Genetic Algorithm (GA) and Particle Swarm optimization (PSO) algorithms have been applied to optimize the controller parameters. Two objective functions namely Integral Square Error (ISE) and Integral of Time-multiplied Absolute v...
متن کامل