A Novel LA-MFO Technique based Vehicle to Grid Control Mechanism for Automatic Generation Control in Deregulated Power System

Authors

  • Jennathu Beevi Sahul Hameed Assistant Professor (Sr.Gr), Department of Electrical and Electronics Engineering, B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, India
  • Mahabuba A. Electrical Engineering Faculty Member, Dubai Men’s College Higher Colleges of Technology, Dubai, U.A.E
  • Jayashree R. Professor, Department of Electrical and Electronics Engineering, B.S. AbdurRahman Crescent Institute of Science and Technology, Chennai, India

Keywords:

Vehicle to Grid, automatic generation control, Lichtenberg algorithm, Fractional Order PID controller, moth flame optimization algorithm, controller gains, integral time absolute error

Abstract

This manuscript introduced a new LA-MFO Technique based Vehicle to Grid (V2G) control mechanism for the automatic generation control (AGC) in deregulated power system. For centralized AGC control, a two-Area Deregulated Power System (TADPS) under bilateral contract, unilateral contract, and contract violation are analyzed. The proposed method is the joint execution of Lichtenberg algorithm (LA) and moth flame optimization (MFO) algorithm. Here, the updation process of LA is done by utilizing the MFO method. Therefore, it is called as LA-MFO algorithm.  The proposed method is extended to model the Fractional Order proportional integral (PI) derivative (FOPID).The integral time of absolute error is considered as objective function in order to design the gain of optimum controller. Hence, the FOPID is modeled for the procurement of AGC and load following services and the effectiveness of FOPID in the TADPS is investigated by incorporating an Electric Vehicle with V2G control mechanism. The proposed method is executed in MATLAB site to guarantee its performance..

Downloads

Download data is not yet available.

References

N. Jaleeli, L. VanSlyck, D. Ewart, L. Fink and A. Hoffmann, 1992 “Understanding automatic generation control,”IEEE Transactions on Power Systems, vol. 7, no. 3, pp. 1106-1122,. Available: 10.1109/59.207324.

R. Christie and A. Bose, 1996 “Load frequency control issues in power system operations after deregulation,”IEEE Transactions on Power Systems, vol. 11, no. 3, pp. 1191-1200,. Available: 10.1109/59.535590.

V. Donde, M. Pai and I. Hiskens, 2001 “Simulation and optimization in an AGC system after deregulation,”IEEE Transactions on Power Systems, vol. 16, no. 3, pp. 481-489,. Available: 10.1109/59.932285.

R. Abraham, D. Das and A. Patra, 2007 “Automatic generation control of an interconnected hydrothermal power system considering superconducting magnetic energy storage,”International Journal of Electrical Power & Energy Systems, vol. 29, no. 8, pp. 571-579,. Available: 10.1016/j.ijepes..01.004.

I. Chidambaram and B. Paramasivam, 2013 “Optimized load-frequency simulation in restructured power system with Redox Flow Batteries and Interline Power Flow Controller,”International Journal of Electrical Power & Energy Systems, vol. 50, pp. 9-24,. Available: 10.1016/j.ijepes..02.004. 2013

P. Hota and B. Mohanty, 2015 “Automatic generation control of multi source power generation under deregulated environment,”International Journal of Electrical Power & Energy Systems, vol. 75, pp. 205-214,. Available: 10.1016/j.ijepes..09.003. 2016

S. Dhundhara and Y. Verma, 2018 “Capacitive energy storage with optimized controller for frequency regulation in realistic multisource deregulated power system,”Energy, vol. 147, pp. 1108-1128,. Available: 10.1016/j.energy..01.076. 2018

A. Pappachen and A. Fathima, 2016 “Load frequency control in deregulated power system integrated with SMES–TCPS combination using ANFIS controller,”International Journal of Electrical Power & Energy Systems, vol. 82, pp. 519-534,. Available: 10.1016/j.ijepes..04.032. 2016

C. Shiva and V. Mukherjee, 2015 “Automatic generation control of interconnected power system for robust decentralized random load disturbances using a novel quasi-oppositional harmony search algorithm,”International Journal of Electrical Power & Energy Systems, vol. 73, pp. 991-1001,. Available: 10.1016/j.ijepes..06.016. 2015

N. Kumar, V. Kumar and B. Tyagi, 2016 “Multi area AGC scheme using imperialist competition algorithm in restructured power system,”Applied Soft Computing, vol. 48, pp. 160-168,. Available: 10.1016/j.asoc..07.005. 2016

Y. Arya and N. Kumar, 2016 “BFOA-scaled fractional order fuzzy PID controller applied to AGC of multi-area multi-source electric power generating systems,”Swarm andEvolutionary Computation, vol. 32, pp. 202-218,. Available: 10.1016/j.swevo..08.002. 2017

S. Debbarma, L. Saikia and N. Sinha, 2012 “AGC of a multi-area thermal system under deregulated environment using a non-integer controller,”Electric Power Systems Research, vol. 95, pp. 175-183,. Available: 10.1016/j.epsr..09.008. 2013

T. Panigrahi, A. Behera and A. Sahoo, “Novel approach to Automatic Generation Control with various Non-linearities using 2-degree-of-freedom PID controller,”Energy Procedia, vol. 138, pp. 464-469,. Available: 10.1016/j.egypro.2017.10.182. 2017

D. Aklilu*,2020 “Automatic Generation Control of Two Area Thermal Power System using Single Objective PSO and DE Optimization Techniques,”International Journal of Innovative Technology and Exploring Engineering, vol. 9, no. 5, pp. 1436-1441,. Available: 10.35940/ijitee.e2842.039520.

H. Gozde, M. CengizTaplamacioglu and İ. Kocaarslan, 2012 “Comparative performance analysis of Artificial Bee Colony algorithm in automatic generation control for interconnected reheat thermal power system,”International Journal of Electrical Power & Energy Systems, vol. 42, no. 1, pp. 167-178,. Available: 10.1016/j.ijepes..03.039. 2012

M. Sariki and R. Shankar, 2022 “Optimal CC-2DOF(PI)-PDF controller for LFC of restructured multi-area power system with IES-based modified HVDC tie-line and electric vehicles,”Engineering Science and Technology, an International Journal, vol. 32, p. 101058,. Available: 10.1016/j.jestch.2021.09.004 [Accessed 24 June]. 2022

P. Sharma, A. Mishra, A. Saxena and R. Shankar, 2022 “A Novel Hybridized Fuzzy PI-LADRC Based Improved Frequency Regulation for Restructured Power System Integrating Renewable Energy and Electric Vehicles,”IEEE Access, vol. 9, pp. 7597-7617,. Available: 10.1109/access.2020.3049049 [Accessed 24 June]. 2021

M. Hannan 2022 “Vehicle to grid connected technologies and charging strategies: Operation, control, issues and recommendations,”Journal of Cleaner Production, vol. 339, p. 130587,. Available: 10.1016/j.jclepro.2022.130587 [Accessed 24 June]. 2022

S. Yumiki 2022 “Autonomous vehicle-to-grid design for provision of frequency control ancillary service and distribution voltage regulation,”Sustainable Energy, Grids and Networks, vol. 30, p. 100664,. Available: 10.1016/j.segan..

M. Gamil, T. Senjyu, H. Masrur, H. Takahashi and M. Lotfy, 2022 “Controlled V2Gs and battery integration into residential microgrids: Economic and environmental impacts,” Energy Conversion and Management, vol. 253, p. 115171,.

J. Yang, Z. Zeng, Y. Tang, J. Yan, H. He and Y. Wu, 2015 “Load Frequency Control in Isolated Micro-Grids with Electrical Vehicles Based on Multivariable Generalized Predictive Theory,”Energies, vol. 8, no. 3, pp. 2145-2164,. Available: 10.3390/en8032145.

“DECENTRALIZED COORDINATED CONTROL OF MULTI-INFEED HVDC SYSTEM FOR DAMPING INTER-AREA OSCILLATION,”International Journal of Power and Energy Systems, vol. 29, no. 3,. Available: 10.2316/journal.203.2009.3.203-4344. 2009

S. Vachirasricirikul and I. Ngamroo, 2014 “Robust LFC in a Smart Grid With Wind Power Penetration by Coordinated V2G Control and Frequency Controller,”IEEE Transactions on Smart Grid, vol. 5, no. 1, pp. 371-380,. Available: 10.1109/tsg.2013.2264921.

H. Mathur and Y. Bhateshvar, 2016 “Frequency regulation with vehicle-to-grid (V2G) option in multi-generation power network,”Energetika, vol. 62, no. 1-2,. Available: 10.6001/energetika.v62i1-2.3315.

S. Iqbal 2020 “V2G Strategy for Primary Frequency Control of an Industrial Microgrid Considering the Charging Station Operator,”Electronics, vol. 9, no. 4, p. 549,. Available: 10.3390/electronics9040549.

N. Nayak, S. Mishra, D. Sharma and B. Kumar Sahu, 2019 “Application of modified sine cosine algorithm to optimally design PID/fuzzy‐PID controllers to deal with AGC issues in deregulated power system,”IET Generation, Transmission & Distribution, vol. 13, no. 12, pp. 2474-2487,. Available: 10.1049/iet-gtd.2018.6489.

R. Sahu, T. Gorripotu and S. Panda, 2016 “Automatic generation control of multi-area power systems with diverse energy sources using Teaching Learning Based Optimization algorithm,”Engineering Science and Technology, an International Journal, vol. 19, no. 1, pp. 113-134,. Available: 10.1016/j.jestch..07.011. 2015

S. Sahoo, N. Jena, G. Dei and B. Sahu 2019 “Self-adaptive fuzzy-PID controller for AGC study in deregulated Power System”, Indonesian Journal of Electrical Engineering and Informatics (IJEEI), vol. 7, no. 4,. Available: 10.52549/ijeei.v7i4.1418.

M. Nadimi-Shahraki, S. Taghian, S. Mirjalili, A. Ewees, L. Abualigah and M. AbdElaziz, 2021 “MTV-MFO: Multi-Trial Vector-Based Moth-Flame Optimization Algorithm,”Symmetry, vol. 13, no. 12, p. 2388,. Available: 10.3390/sym13122388.

J. Pereira, M. Francisco, C. Diniz, G. Antônio Oliver, S. Cunha and G. Gomes, 2020 “Lichtenberg algorithm: A novel hybrid physics-based meta-heuristic for global optimization,”Expert Systems with Applications, vol. 170, p. 114522,. Available: 10.1016/j.eswa..114522. 2021

Two area system with V2G

Downloads

Published

17.02.2023

How to Cite

Sahul Hameed, J. B. ., A., M. ., & R., J. . (2023). A Novel LA-MFO Technique based Vehicle to Grid Control Mechanism for Automatic Generation Control in Deregulated Power System. International Journal of Intelligent Systems and Applications in Engineering, 11(2), 772–783. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2851

Issue

Section

Research Article