Effect of SMES Unit in AGC of an Interconnected Multi-Area Thermal Power System With ACO-Tuned PID Controller

2018 ◽  
pp. 164-184 ◽  
Author(s):  
K. Jagatheesan ◽  
B. Anand ◽  
Nilanjan Dey ◽  
Amira S. Ashour
Keyword(s):  
Power System ◽  
Pid Controller ◽  
Magnetic Energy ◽  
Thermal Power ◽  
Automatic Generation ◽  
System Response ◽  
Interconnected Power System ◽  
Thermal Power System ◽  
Comparative Results ◽  
Magnetic Energy Storage

Load changes in any one of interconnected power system that influence the system response from their nominal values. The Proportional–Integral- Derivative (PID) controller is employed to mitigate this issue as a secondary controller in addition to the Superconducting Magnetic Energy Storage (SMES) unit. In Automatic Generation Control (AGC), the current work proposed an Ant Colony Optimization (ACO) technique to tune PID controller gain values of multi-area interconnected thermal power system. The gain value of PID controller is tuned by using the ACO techniques. The system response is compared with and without considering SMES unit in the system. The comparative results clearly established that the system response with SMES unit improve the performance of system during sudden load disturbance.

scholarly journals Application of Fuzzy-PIDF Controller for AGC of A Two-Area Interconnected Thermal Power System under Deregulated Environment

2019 ◽  
Vol 8 (6) ◽  
pp. 3341-3352
Keyword(s):  
Power System ◽  
Pid Controller ◽  
Power Flow ◽  
Thermal Power ◽  
Automatic Generation ◽  
Fuzzy Pid ◽  
Comparative Performance ◽  
Fuzzy Pid Controller ◽  
Thermal Power System ◽  
Derivative Filter

This paper presents the application of fuzzy PID controller and fuzzy PID controller aided with derivative filter (fuzzy PIDF) to analyse the automatic generation control (AGC) issue of a two-area interconnected multi-unit thermal power system having reheat type turbine under deregulated market scenario. This paper, demonstrates the traditional AGC of two-area power system modified under different transactions like as POOLCO based transaction, transaction under bilateral agreement and contract violation transaction to study the system dynamics. Hybrid LUS (Local Unimodal Sampling) and TLBO (Teaching Learning Based Optimization) (LUS-TLBO) technique is proposed to optimize the input and output scaling factors i.e. gains of fuzzy PID controller and gains & filter co-efficient of the derivative filter of the proposed fuzzy PIDF controller under different transactions in the competing market. Comparative performance analysis is carried out to show the supremacy of the proposed fuzzy PIDF controller against proposed fuzzy PID controller and a recently published work on integral controller with Interline Power Flow Controller (IPFC) and Redox Flow batteries (RFB) units.

scholarly journals Automatic Generation Control of Two Area Thermal Power System using Single Objective PSO and DE Optimization Techniques

2020 ◽  
Vol 9 (5) ◽  
pp. 1436-1441
Keyword(s):  
Power System ◽  
Frequency Control ◽  
Thermal Power ◽  
Automatic Generation ◽  
Optimization Techniques ◽  
Control Analysis ◽  
Interconnected Power System ◽  
Thermal Power System ◽  
Response Performance ◽  
Single Objective

Now a days AGC has a great roll in controlling the mismatch between generation and load in interconnected power system, to attain AGC more optimal, tuning the controller using optimization techniques is needed. In this paper PSO and DE optimization techniques are employed for dynamic frequency control analysis. For dynamic analysis, the PID gain parameters obtained through single objective optimization using PSO and DE techniques, the controls are implemented by considering 1% of change in load disturbance in area 1 only and computed with sum of absolute value of ith area control error at time t as objective function and simulation result is obtained by interfacing Matlab (.m file) with Simulink block model under study . Comparison analysis is performed between PSO-PID, without controller and DE-PID. According to the investigations, better dynamic response performance is achieved through DE-PID method than the PSO-PID technique for the measured parameters of time response transient analysis such as maximum overshoot, rise time, maximum undershoot and settling time in AGC of two area system.

Fuzzy Based Intelligent Approach to AGC of Multi-Area Multi-Unit Power System with SMES under Random Load Disturbances

2014 ◽  
Vol 492 ◽  
pp. 431-438
Author(s):  
Sathans Suhag ◽  
A. Swarup
Keyword(s):  
Power Systems ◽  
Power System ◽  
Intelligent Control ◽  
Control Strategy ◽  
Magnetic Energy ◽  
Thermal Power ◽  
Automatic Generation ◽  
Pi Controller ◽  
Random Load ◽  
Thermal Power System

In reality, load variations in power systems are random in nature. Therefore, the automatic generation control (AGC) performance of the power system needs to be investigated under random load disturbances so as to have a realistic evaluation of the control strategy. This paper reports results for one such investigation. The intelligent control strategy, based on fuzzy gain scheduling of a proportional-integral (PI) controller, is developed and implemented for a multi-area multi-unit thermal power system with reheat nonlinearity. The paper also investigates the effect of superconducting magnetic energy storage (SMES) system on the AGC performance. For the sake of comparison, the behavior of the system for the same load disturbance is also investigated with a conventional PI controller. Simulation studies indicate that the proposed intelligent control strategy is very effective under random load disturbances and provides significant improvement over the conventional PI controller.

scholarly journals A Three Area Interconnected Power System Network Load Frequency Controller Simulator

2018 ◽  
pp. 295-304
Author(s):  
Ibrahim Olawale Muritala ◽  
M B Mu’azu ◽  
E A Adedokun
Keyword(s):  
Energy Storage ◽  
Power System ◽  
Magnetic Energy ◽  
Model Predictive Controller ◽  
Control Error ◽  
Interconnected Power System ◽  
Area Control Error ◽  
Predictive Controller ◽  
Super Conducting ◽  
Magnetic Energy Storage

This paper presents a MATLAB simulator of a three area interconnected power system of Thermal-Gas-Hydro. Nonlinearities intrinsic in the interconnected power system of communication delay, Generation Rate Constraint and Generation Dead Band were measured. Bat Inspired Algorithm was exploited to select the favourable parameters of the Model Predictive Controller and the Super Conducting Magnetic Energy Storage. Model Predictive Controller was the subordinate controller employed to minimalize the Area Control Error, Super Conducting Magnetic Energy Storage was the energy buffer to balance the load demand and the power generated. Integral Time Absolute Error was the performance metrics employed to minimize the Area Control Error. Parametric dissimilarity was tested on the inter-connected power system to observe the efficacy of the controller. Step load perturbation of  was concurrently applied to the three-area inter-connected network,  was introduced to the thermal generating unit,  was introduced to the gas and hydro generating unit.  Value of the tie-line was introduced to examine its effect on the frequency deviation. The results performed better when compared with Model Predictive Controller joined with Super Conducting Magnetic Energy Storage against the Model Predictive Controller without Super Conducting Magnetic Energy Storage in relations to settling time, overshoot and undershoot.

scholarly journals Frequency Regulation in Multi Area Power System Optimized By Firefly Swarm Hybridization Algorithm

2020 ◽  
Vol 9 (4) ◽  
pp. 2214-2218
Keyword(s):  
Power System ◽  
Wind Turbine ◽  
Dynamic Performance ◽  
Thermal Power ◽  
Automatic Generation ◽  
Induction Generator ◽  
Frequency Regulation ◽  
Doubly Fed Induction Generator ◽  
Thermal Power System ◽  
Doubly Fed

Automatic Generation Control of two area multi unit interconnected thermal power system with dynamic participation of Doubly Fed Induction Generator based on the wind turbines. In this work two areas consisting of three unequal turbines both areas are connected to the DFIG based wind turbine. Area 1 consisting of three reheat turbines with Doubly Fed Induction Generator based on wind turbine and area2 consisting of three non reheat turbines with Doubly Fed Induction Generator based on wind turbine and two areas interconnected by tie line. Two different controllers are used, namely PID and cascaded PD-PI controllers. The controllers effectively tuned by hybridization algorithm. 1% step load disturbance is applied in area 1 for analyzing the dynamic performance. The performance of two area multi-unit power system is done in MATLAB/SIMILINK software. The dynamic response of the considered system is compared in terms of undershoots, overshoot and settling times

Sign in / Sign up

Export Citation Format

Share Document