Automatic Generation Control of Hydro-Hydro Interconnected Power System Based on Ant Colony Optimization

Each hydropower system incorporates with appropriate hydro turbine, and hydro governor unit. In the current work, an Automatic Generation Control (AGC) of two equal hydropower systems with Proportional-Integral-Derivative (PID) controller was investigated. The gain values of the PID controllers were tuned using Ant Colony Optimization (ACO) technique with one percent Step Load Perturbation (1% SLP) in area 1. The Integral Square Error (ISE), Integral Time Square Error (ITSE), Integral Absolute Error (IAE) and Integral Time Absolute Error (ITAE) were chosen as the objective function in order to optimize the controller’s gain values. The experimental results reported that the IAE based PID controller improved the system performance compared to other objective functions during sudden load disturbance. Automatic Generation Control of Hydro-Hydro Interconnected Power System Based on Ant Colony Optimization Jagatheesan Kaliannan Mahendra Institute of Engineering and Technology, India Anand B Hindusthan College of Engg. & Tech., India Nguyen Gia Nhu Duy Tan University, Vietnam Nilanjan Dey Techno India College of Technology, India Amira S. Ashour Tanta University, Egypt Valentina E. Balas Aurel Vlaicu University of Arad, Romania Automatic Generation Control of Hydro-Hydro Interconnected Power System

[1]  Nilanjan Dey,et al.  Application of flower pollination algorithm in load frequency control of multi-area interconnected power system with nonlinearity , 2017, Neural Computing and Applications.

[2]  Engin Yesil,et al.  Interval type-2 fuzzy PID load frequency controller using Big Bang-Big Crunch optimization , 2014, Appl. Soft Comput..

[3]  Nilanjan Dey,et al.  Artificial Intelligence in Performance Analysis of Load Frequency Control in Thermal-Wind-Hydro Power Systems , 2015 .

[4]  Haluk Gozde,et al.  Automatic generation control application with craziness based particle swarm optimization in a thermal power system , 2011 .

[5]  N. Dey,et al.  Ant Weight Lifting algorithm for image segmentation , 2013, 2013 IEEE International Conference on Computational Intelligence and Computing Research.

[6]  Kamal Kant Bharadwaj,et al.  A Particle Swarm Optimization Approach to Fuzzy Case-based Reasoning in the Framework of Collaborative Filtering , 2014, Int. J. Rough Sets Data Anal..

[7]  Nilanjan Dey,et al.  Load Frequency Control of Hydro-Hydro System with Fuzzy Logic Controller Considering Non-linearity , 2016, WCSC.

[8]  Haluk Gozde,et al.  Comparative performance analysis of Artificial Bee Colony algorithm in automatic generation control for interconnected reheat thermal power system , 2012 .

[9]  E. S. Ali,et al.  Bacteria foraging optimization algorithm based load frequency controller for interconnected power system , 2011 .

[10]  I. A. Chidambaram,et al.  Optimized PI+ load–frequency controller using BWNN approach for an interconnected reheat power system with RFB and hydrogen electrolyser units , 2015 .

[11]  Mohamed A. Ebrahim,et al.  Design of decentralized load frequency Based-PID Controller using Stochastic Particle Swarm optimization technique , 2009, 2009 International Conference on Electric Power and Energy Conversion Systems, (EPECS).

[12]  Nilanjan Dey,et al.  Automatic Generation Control of Thermal-Thermal-Hydro Power Systems with PID Controller using Ant Colony Optimization , 2015, Int. J. Serv. Sci. Manag. Eng. Technol..

[13]  Nilanjan Dey,et al.  Optimisation of scaling factors in electrocardiogram signal watermarking using cuckoo search , 2013, Int. J. Bio Inspired Comput..

[14]  Nilanjan Dey,et al.  Dynamic performance analysis of AGC of multi-area power system considering Proportional-Integral-Derivative controller with different cost functions , 2016, 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT).

[15]  Nilanjan Dey,et al.  Firefly Algorithm for Optimization of Scaling Factors During Embedding of Manifold Medical Information: An Application in Ophthalmology Imaging , 2014 .

[16]  R. Sathya,et al.  Load Frequency Control in an Interconnected Hydro-Hydro Power System with Superconducting Magnetic Energy Storage Units , 2015 .

[17]  Ramanand Kashyap,et al.  Load Frequency Control Using Fuzzy PI Controller Generation of Interconnected Hydro Power System , 2013 .

[18]  Lalit Chandra Saikia,et al.  Maiden application of bacterial foraging based fuzzy IDD controller in AGC of a multi-area hydrothermal system , 2013 .

[19]  B. L. Kaul,et al.  Automatic generation control of an interconnected power system , 1978 .

[20]  Behrooz Vahidi,et al.  A robust PID controller based on imperialist competitive algorithm for load-frequency control of power systems. , 2013, ISA transactions.

[21]  Álvaro Gomes,et al.  Improving the responsiveness of NSGA-II using an adaptive mutation operator: a case study , 2010, Int. J. Adv. Intell. Paradigms.

[22]  Swagat Pati,et al.  Teaching-learning based optimization algorithm based fuzzy-PID controller for automatic generation control of multi-area power system , 2015, Appl. Soft Comput..

[23]  Luca Maria Gambardella,et al.  Ant colony system: a cooperative learning approach to the traveling salesman problem , 1997, IEEE Trans. Evol. Comput..

[24]  Marco Dorigo,et al.  Optimization, Learning and Natural Algorithms , 1992 .

[25]  J. Nanda,et al.  Application of optimal control strategy to automatic generation control of a hydrothermal system , 1988 .

[26]  Noor Akhmad Setiawan,et al.  Fuzzy Decision Support System for Coronary Artery Disease Diagnosis Based on Rough Set Theory , 2014, Int. J. Rough Sets Data Anal..

[27]  C. T. Pan,et al.  An Adaptive Controller for Power System Load-Frequency Control , 1989, IEEE Power Engineering Review.

[28]  Lalit Chandra Saikia,et al.  Automatic generation control of multi area thermal system using Bat algorithm optimized PD–PID cascade controller , 2015 .

[29]  Ȧ RamanandKashyap,et al.  A Simulation Model for LFC using Fuzzy PID with Interconnected Hydro power Systems , 2014 .

[30]  K. Jagatheesan.  Automatic Generation Control of Three Area Hydro-Thermal Power Systems considering Electric and Mechanical Governor with conventional controller and Ant Colony Optimization technique , 2014 .

[31]  Lalit Chandra Saikia,et al.  Comparison of performances of several FACTS devices using Cuckoo search algorithm optimized 2DOF controllers in multi-area AGC , 2015 .

[32]  Rabindra Kumar Sahu,et al.  Application of Firefly Algorithm for Load Frequency Control of Multi-area Interconnected Power System , 2014 .

[33]  Rabindra Kumar Sahu,et al.  A hybrid firefly algorithm and pattern search technique for automatic generation control of multi area power systems , 2015 .

[34]  A. M. Abdel Ghany,et al.  Optimal Tuning of PID Controllers for Hydrothermal Load Frequency Control Using Ant Colony Optimization , 2013 .

[35]  Assef Zare,et al.  Performance of optimal hierarchical type 2 fuzzy controller for load–frequency system with production rate limitation and governor dead band , 2016 .

[36]  Aysen Demiroren,et al.  The application of ANN technique to load-frequency control for three-area power system , 2001, 2001 IEEE Porto Power Tech Proceedings (Cat. No.01EX502).

[37]  Hassan Bevrani,et al.  Fuzzy Logic-Based Load-Frequency Control Concerning High Penetration of Wind Turbines , 2012, IEEE Systems Journal.

[38]  Lalit Chandra Saikia,et al.  Comparison of performances of several Cuckoo search algorithm based 2DOF controllers in AGC of multi-area thermal system , 2014 .

[39]  A. Ruby,et al.  Load frequency stabilization of four area hydro thermal system using Superconducting Magnetic Energy Storage system , 2014 .

[40]  Anand Baskaran,et al.  PERFORMANCE ANALYSIS OF DOUBLE REHEAT TURBINE IN MULTI -AREA AGC SYSTEM USING CONVENTIONAL AND ANT COLONY OPTIMIZATION TECHNIQUE , 2015 .

[41]  Nilanjan Dey,et al.  Particle swarm optimisation-based parameters optimisation of PID controller for load frequency control of multi-area reheat thermal power systems , 2017, Int. J. Adv. Intell. Paradigms.