Disturbance Rejection Based Controller for Frequency Control of Restructured Power System

被引:5
作者
Fayaz, Farhana [1 ]
Pahuja, Gobind Lal [1 ]
机构
[1] Natl Inst Technol Kurukshetra, Elect Engn Dept, Kurukshetra, Haryana, India
关键词
Bio-inspired optimization; electric vehicle (EV); energy storage device (ESD); fractional-order controller; load frequency control (LFC); restructured power system; AUTOMATIC-GENERATION CONTROL; SIGNAL STABILITY ANALYSIS; RENEWABLE ENERGY; THERMAL SYSTEM; AGC SYSTEM; STORAGE; DESIGN;
D O I
10.1080/03772063.2021.2021824
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
In regard to the present-day electrical power scenario, this article reports a power generation control of restructured hybrid power system with a multi-source combination of solar-thermal, geothermal, electric vehicle (EV), and conventional thermal system. Involvements of renewables and EVs in an electrical grid system with appropriate system non-linearities make the power system complex and a practical one. Such a system needs a robust controller to function optimally. In view of this, several controllers are examined for system dynamics. Performance comparison reveals the novel disturbance rejection-based fractional-order-proportional-integral-derivative (DR-foPID) as an optimal controller. Furthermore, the impact of energy storage devices (ESD) such as redox flow battery (RFB) for system dynamics enhancement are explored. To obtain the optimal performance of the linked restructured power system, the secondary controller gains and other parameters are optimized using a powerful biogeography-based krill herd (BBKH) optimization technique. The results indicate that with the proposed controller, a 38% reduction in response undershoot, a 13% reduction in overshoot, and a 8.3% reduction in settling time are exhibited. Moreover, the objective function (error) values for the proposed controller reduce to 95% with respect to other controllers. The effect of renewables and EVs on system stability is also studied. Moreover, the proposed secondary DR-foPID controller is also examined on a three-area hybrid regulated power system. Sensibility evaluation related to different alterations in nominal system parameters verifies the strength of the DR-foPID controller.
引用
收藏
页码:7446 / 7459
页数:14
相关论文
共 39 条
[1]   Effect of electric vehicles on load frequency control in interconnected thermal and hydrothermal power systems utilising CF-FOIDF controller [J].
Arya, Yogendra .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2020, 14 (14) :2666-2675
[2]  
Balu Neal J., 1994, POWER SYSTEM STABILI, P4
[3]   Optimized multi area AGC simulation in restructured power systems [J].
Bhatt, Praghnesh ;
Roy, Ranjit ;
Ghoshal, S. P. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2010, 32 (04) :311-322
[4]   Transmission management in the deregulated environment [J].
Christie, RD ;
Wollenberg, BF ;
Wangensteen, I .
PROCEEDINGS OF THE IEEE, 2000, 88 (02) :170-195
[5]   Improved-Fitness Dependent Optimizer Based FOI-PD Controller for Automatic Generation Control of Multi-Source Interconnected Power System in Deregulated Environment [J].
Daraz, Amil ;
Malik, Suheel Abdullah ;
Mokhlis, Hazlie ;
Ul Haq, Ihsan ;
Zafar, Farhan ;
Mansor, Nurulafiqah Nadzirah .
IEEE ACCESS, 2020, 8 :197757-197775
[6]   Small signal stability analysis of dish-Stirling solar thermal based autonomous hybrid energy system [J].
Das, Dulal Ch. ;
Sinha, N. ;
Roy, A. K. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2014, 63 :485-498
[7]   AGC of a multi-area thermal system under deregulated environment using a non-integer controller [J].
Debbarma, Sanjoy ;
Saikia, Lalit Chandra ;
Sinha, Nidul .
ELECTRIC POWER SYSTEMS RESEARCH, 2013, 95 :175-183
[8]   Simulation and optimization in an AGC system after deregulation [J].
Donde, V ;
Pai, MA ;
Hiskens, IA .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2001, 16 (03) :481-489
[9]   Optimal design of model predictive control with superconducting magnetic energy storage for load frequency control of nonlinear hydrothermal power system using bat inspired algorithm [J].
Elsisi, M. ;
Soliman, M. ;
Aboelela, M. A. S. ;
Mansour, W. .
JOURNAL OF ENERGY STORAGE, 2017, 12 :311-318
[10]   Robust and Intelligent Type-2 Fuzzy Fractional-Order Controller-Based Automatic Generation Control to Enhance the Damping Performance of Multi-Machine Power Systems [J].
Falehi, Ali Darvish .
IETE JOURNAL OF RESEARCH, 2022, 68 (04) :2548-2559