Multi Area AGC Research Articles

Application of RT-Lab in Multi-Area AGC System under Deregulated Environment Considering IPFC-SMES

Application of RT-Lab in Multi-Area AGC System under Deregulated Environment Considering IPFC-SMES

Comparative Study on Power Transmission Modeling in Large Scale AGC Power System

This paper presents a comparative analysis for various type of power transmission modeling in multi-area AGC power system. AC power transmission, parallel AC-AC transmission lines and parallel AC-DC transmission modeling in two-area LFC power system is presented and the results are compared. Based on simulation results the positive effects of HVDC links under random load disturbance are demonstrated.

The Application of Various PID Controllers and the Effect of AHVDC and DSTS on Dynamics Responses in a Multi-Area AGC

The Application of Various PID Controllers and the Effect of AHVDC and DSTS on Dynamics Responses in a Multi-Area AGC

Renewable energy source-based multiarea AGC system with integration of EV utilizing cascade controller considering time delay

Renewable energy source<b>-</b>based multiarea AGC system with integration of EV utilizing cascade controller considering time delay

Multi area AGC scheme using imperialist competition algorithm in restructured power system

This paper is focused on optimization based design methodology and application of PID controller in restructured, competitive electricity market environment, for AGC problem. The paper compares two search algorithms for designing of PID controller used for AGC in multiarea power system. The optimal parameters of PID controller have been determined with the use of Imperialist Competitive Algorithm (ICA). A deregulated scenario has been considered to develop the model of the multiarea AGC scheme. This paper presents that the ICA tuned PID (ICA-PID) controller can optimally regulate the generators output and can provide the best dynamic response of frequency and tie-line power on a load perturbation. The performance of proposed controller has been checked on 2-area thermal power system and 3-area thermal-hydro power system with the consideration of generation rate constraint (GRC). The results obtained by ICA-PID controller and genetic algorithm tuned (GA-PID) controller have been compared on the basis of performance parameters (settling time and oscillations). It is seen that ICA-PID controller shows the better performance as compared to GA-PID controller.

BFOA Based FOPID Controller for Multi Area AGC System with Capacitive Energy Storage

BFOA Based FOPID Controller for Multi Area AGC System with Capacitive Energy Storage

Application of superconducting magnet energy storage to a multi-area automatic generation control scheme suitable in a restructured power system

The application of superconducting magnetic energy storage (SMES) unit to the stabilization of genetic algorithm (GA) based multi-area automatic generation control scheme is presented. In this paper, SMES units have been used to the power systems to inject or absorb active power. Developed scheme utilizes a proportional, integral and derivative (PID) controller to control the output of the generators. The parameters of PID controller have been tuned according to GA based performance indices. The developed G A based PID (GAPID) controller has been tested on a practical Indian power system network representing 75- bus system. A deregulated electricity market scenario has been assumed in the 75- bus system, which has been divided into four control areas. Mixed transaction (Poolco and bilateral) has been considered in the frequency regulation. The effect of generator rate constraint (GRC) has also been included in developing the multi area AGC model.

Effect of SMES unit in load following contract in a restructured power system

The purpose of this paper is to analyze the effect of SMES unit on the Dynamic Neural Network (DNN) based multi area AGC scheme. The advantage of the DNN controller is that it does not require extensive and rigorous model for optimal tuning. It requires a set of training data. The training data can be generated from the system model. The developed DNN controller has been tested on a practical Indian power system network representing 75- bus system. A deregulated electricity market scenario has been assumed in the 75- bus system, which has been divided into four control areas. Mixed transaction (Poolco and bilateral) has been considered in the frequency regulation.