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.

An Educational Package for Environmentally Friendly, Economic Operation of Power Systems

2003 ◽  
Vol 40 (2) ◽  
pp. 130-143 ◽  
Author(s):  
C. Palanichamy ◽  
C. Anil Kumar ◽  
Sundar Babu
Keyword(s):  
Power Systems ◽  
Power System ◽  
Thermal Power ◽  
Environmentally Friendly ◽  
Basic Training ◽  
Economic Operation ◽  
Educational Package ◽  
Thermal Power System

This paper presents a Windows™-based educational package developed by the authors to provide power systems students with basic training on the environmentally friendly, economic operation of power systems. The suitability of the package has been demonstrated here with the help of a six-generator thermal power system.

scholarly journals A Novel Fuzzy Logic Based Load Frequency Control for Multi-Area Interconnected Power Systems

2021 ◽  
Vol 11 (4) ◽  
pp. 7522-7529
Author(s):  
D. V. Doan ◽  
K. Nguyen ◽  
Q. V. Thai
Keyword(s):  
Fuzzy Logic ◽  
Power Systems ◽  
Power System ◽  
Fuzzy Logic Controller ◽  
Frequency Control ◽  
Thermal Power ◽  
Load Frequency Control ◽  
Interconnected Power System ◽  
Load Frequency ◽  
Interconnected Power Systems

This study focuses on designing an effective intelligent control method to stabilize the net frequency against load variations in multi-control-area interconnected power systems. Conventional controllers (e.g. Integral, PI, and PID) achieve only poor control performance with high overshoots and long settling times. They could be replaced with intelligent regulators that can update controller parameters for better control quality. The control strategy is based on fuzzy logic, which is one of the most effective intelligent strategies and can be a perfect substitute for such conventional controllers when dealing with network frequency stability problems. This paper proposes a kind of fuzzy logic controller based on the PID principle with a 49-rule set suitable to completely solve the problem of load frequency control in a two-area thermal power system. Such a novel PID-like fuzzy logic controller with modified scaling factors can be applied in various practical scenarios of an interconnected power system, namely varying load change conditions, changing system parameters in the range of ±50%, and considering Governor Dead-Band (GDB) along with Generation Rate Constraint (GRC) nonlinearities and time delay. Through the simulation results implemented in Matlab/Simulink software, this study demonstrates the effectiveness and feasibility of the proposed fuzzy logic controller over several counterparts in dealing with the load-frequency control of a practical interconnected power system considering the aforesaid conditions.

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.

Differential evolution algorithm based tilt integral derivative control for LFC problem of an interconnected hydro-thermal power system

2017 ◽  
Vol 24 (17) ◽  
pp. 3952-3973 ◽  
Author(s):  
Pretty Neelam Topno ◽  
Saurabh Chanana
Keyword(s):  
Power System ◽  
Differential Evolution ◽  
Pid Control ◽  
Thermal Power ◽  
Differential Evolution Algorithm ◽  
Operating Conditions ◽  
Proportional Integral ◽  
Load Frequency ◽  
Thermal Power System ◽  
Evolution Algorithm

Conventional control techniques such as proportional integral (PI) control and proportional integral derivative (PID) control are widely used as the load frequency controller in power system control applications; however, the increase in complexity of the power system is degrading the performance of classical control. Therefore, in this paper a new control approach using fractional calculus has been proposed for the load frequency control problem of two-area hydro-thermal power system. The paper presents an interconnected hydro-thermal power system working under different operating conditions introduced in the form of various nonlinearities. Four case studies have been presented in this paper considering transient analysis with (i) different loading conditions, (ii) parameter variations, (iii) different nonlinearities (governor dead band nonlinearity, time delay and generation rate constraints), and (iv) superconducting magnetic energy storage (SMES) device. A tilt integral derivative (TID) control has been presented as a secondary controller to stabilize the frequency deviations occurring in the two-area power system with the above-mentioned different operating conditions. The parameters of TID controller have been optimized using a differential evolution algorithm which solves an optimization problem formulated using the integral of time-weighted absolute error (ITAE) performance index. In addition, a comparison of dynamic system response obtained using TID control and PID control has been presented, which focusses on the better performance of TID control over PID control in an interconnected power system.

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.

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