Automatic generation control of interconnected power system for robust decentralized random load disturbances using a novel quasi-oppositional harmony search algorithm

被引:32
作者
Shiva, Chandan Kumar [1 ]
Mukherjee, V. [1 ]
机构
[1] Indian Sch Mines, Dept Elect Engn, Dhanbad 826004, Jharkhand, India
关键词
Automatic generation control; Random load perturbation; First order low pass filter; Generation rate constraint; Harmony search algorithm; Imperialist competitive algorithm; FREQUENCY CONTROL; OPTIMIZATION;
D O I
10.1016/j.ijepes.2015.06.016
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
An effort is made in this paper to discuss the real-time problem of interconnected power system for resistance to random and rapid changes of small step load perturbation (SLP) in connection with automatic generation control (AGC). Rapid changes of loads, for a continuous period of time, always create problems in the benefits of optimum AGC performance. In view of this, a continuous nature of load profile is designed for its implementation in real-time application of AGC. In such case, the point of concern is to closely examine the frequency deviation and the behavior of tie-line power flow profiles within the control areas. To overcome these consequences, a novel quasi-oppositional harmony search (QOHS) algorithm based proportional integral derivative (PID) controller is proposed along with filtering technique. The test system under consideration is a three-area power system with two generating units (non-identical capacity) in each area having an appropriate generation rate constraint (GRC). Importance of considering the physical constraint (like GRC) is demonstrated by examining the closed loop performance of the studied power system model. The performance of the proposed QOHS algorithm is verified by comparing the obtained dynamic responses to those offered by the imperialist competitive algorithm for the same test system. In the final phase of investigation, the total load changes of all the three control areas are also considered for the purpose of analyzing the saturation and non-linearity effects of turbine. It may be apprehended from the simulation results that the proposed QOHS based PID controller is more efficient to minimize the effect of continuous SLP. The proposed QOHS algorithm shows the feasibility of the approach and is able to regain its steady-state operation for such load perturbation profiles. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:991 / 1001
页数:11
相关论文
共 34 条
[1]   Optimal AGC tuning with genetic algorithms [J].
AbdelMagid, YL ;
Dawoud, MM .
ELECTRIC POWER SYSTEMS RESEARCH, 1996, 38 (03) :231-238
[2]  
[Anonymous], 2013, Power generation, operation, and control
[3]   An opposition-based harmony search algorithm for engineering optimization problems [J].
Banerjee, Abhik ;
Mukherjee, V. ;
Ghoshal, S. P. .
AIN SHAMS ENGINEERING JOURNAL, 2014, 5 (01) :85-101
[4]  
Bevrani H., 2009, Intelligent automatic generation control
[5]   Solution of combined economic and emission dispatch problems of power systems by an opposition-based harmony search algorithm [J].
Chatterjee, A. ;
Ghoshal, S. P. ;
Mukherjee, V. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2012, 39 (01) :9-20
[6]   Coordination of directional overcurrent relays using opposition based chaotic differential evolution algorithm [J].
Chelliah, Thanga Raj ;
Thangaraj, Radha ;
Allamsetty, Srikanth ;
Pant, Millie .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2014, 55 :341-350
[7]   Load-frequency control: a GA-based multi-agent reinforcement learning [J].
Daneshfar, F. ;
Bevrani, H. .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2010, 4 (01) :13-26
[8]   Exploratory Power of the Harmony Search Algorithm: Analysis and Improvements for Global Numerical Optimization [J].
Das, Swagatam ;
Mukhopadhyay, Arpan ;
Roy, Anwit ;
Abraham, Ajith ;
Panigrahi, Bijaya K. .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2011, 41 (01) :89-106
[9]  
Elgard OI, 1971, ELECT ENERGY SYSTEMS
[10]   A new heuristic optimization algorithm: Harmony search [J].
Geem, ZW ;
Kim, JH ;
Loganathan, GV .
SIMULATION, 2001, 76 (02) :60-68