Flower Pollination Algorithm Optimized PID Controller for Performance Improvement of Multiarea Interconnected Thermal Power System with Nonlinearities

2018 ◽  
pp. 41-56
Author(s):  
Jagatheesan Kaliannan ◽  
Anand Baskaran ◽  
Nilanjan Dey ◽  
Amira S. Ashour
Keyword(s):  
Power System ◽  
Performance Improvement ◽  
Pid Controller ◽  
Thermal Power ◽  
Flower Pollination Algorithm ◽  
Flower Pollination ◽  
Thermal Power System

Application of Moth Flame Optimization Algorithm for AGC of Multi-Area Interconnected Power Systems

2018 ◽  
Vol 7 (1) ◽  
pp. 22-49 ◽  
Author(s):  
Ajit Kumar Barisal ◽  
Deepak Kumar Lal
Keyword(s):  
Power Systems ◽  
Power System ◽  
Pid Controller ◽  
Thermal Power ◽  
Operating Conditions ◽  
System Model ◽  
Source Power ◽  
Interconnected Power Systems ◽  
Thermal Power System ◽  
Moth Flame Optimization Algorithm

A novel attempt has been made to use Moth Flame Optimization (MFO) algorithm to optimize PI/PID controller parameters for AGC of power system. Four different power systems are considered in the present article. Initially, a two area thermal power system is considered for simulation. The superiority of the proposed MFO optimized PI/PID controller has been demonstrated by comparing the results with recently published approaches such as conventional, GA, BFOA, DE, PSO, Hybrid BFOA-PSO, FA and GWO algorithm optimized PI/PID controller for the same power system model. Then, a sensitivity analysis is carried out to study the robustness of the system to wide changes in the operating conditions and system parameters from their nominal values. The proposed approach is extended to different realistic multi-area multi-source power systems with diverse sources of power generations for simulation study. The acceptability and efficacy of the proposed technique is demonstrated by comparing with other recently published techniques.

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.

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.

Design of Specification Oriented Compensator with a PID Controller for Load Frequency Control

2014 ◽  
Vol 573 ◽  
pp. 248-253
Author(s):  
Soundarapandian Anbarasi ◽  
Srinivasan Muralidharan
Keyword(s):  
Power System ◽  
Pid Controller ◽  
Frequency Control ◽  
Thermal Power ◽  
Absolute Error ◽  
Load Frequency Control ◽  
Integration Time ◽  
Load Frequency ◽  
Thermal Power System ◽  
The Stability

This paper proposes a design of Specification Oriented Compensator (SOC) with a Proportional Integral Derivative (PID) controller for Load frequency Control (LFC) in a thermal power system. The phase margin which is derived from the computationally tuned response of PID controller is considered as a desirable specification and it is used to design the compensator. The different structures of compensator like lead, lag and lead-lag were first simulated in a single area power system and better results are found in Specification Oriented Lead Compensator (SOLC). The simulation study of two area thermal power system with SOLC is then performed and their frequency deviation and tie-line power deviation characteristics are compared with conventional PID controller, Integral controller and also with a non controller system. The Integral Absolute Error (IAE) and Integration Time Absolute Error (ITAE) are considered as performance indices to scrutinize the system robustness. The simulation studies clearly reveal the superiority of the proposed SOLC with PID controller over others in way of enhanced system transient response, improved the stability and robustness of the system. All the simulations in this paper are performed using Matlab software.

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