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Samreen Tabassun Mir Department of Electronics and Communication Engineering, School of Engineering and Technology, Rayat-Bahra University, Punjab, India

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Mandeep Kaur Sandhu Department of Electronics and Communication Engineering, School of Engineering and Technology, Rayat-Bahra University, Punjab, India

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Anmol Goyal Department of Electronics and Communication Engineering, School of Engineering and Technology, Rayat-Bahra University, Punjab, India

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Abstract

This study presents the frequency control of hybrid deregulated power system. The power system is supplied with appropriate system non-linearity's for practicality. A resilient model predictive control based two degree of freedom proportional integral derivative controller is designed. The Covid-19 based optimization algorithm is applied for optimization purpose. The impact of solar and wind on system dynamics are also examined. Further, the capacitive energy storage is also incorporated to check its influence. The distribution companies' participation matrix changes with market fluctuations, so the matrix is varied to check its impact. Lastly, sensitivity assessment is performed to analyze the strength of proposed controller optimized gains achieved under nominal conditions.

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    N. Cohn, “Some aspects of tie-line bias control on interconnected power systems [includes discussion],” Trans. Am. Inst. Electr. Eng. Part III: Power Apparatus Syst., vol. 75, no. 3, pp. 14151436, 1956.

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    R. Rajbongshi, L. C. Saikia, W. Tasnin, A. Saha, and D. Saha, “Performance analysis of combined alfc and avr system incorporating power system stabilizer,” in 2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology, Shillong, India, June 1–2, 2018, pp. 16.

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    S. K. Ramoji, L. C. Saikia, B. Dekaraja, M. K. Behera, N. R. Babu, and S. K. Bhagat, “Combined voltage and frequency control of a multi-area multi-source power system using CFOPI-TIDN controller,” in 2021 International Conference on Computational Performance Evaluation, Shillong, India, December 1–3, 2021, pp. 761766.

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    S. Ranjan, A. Latif, D. C. Das, N. Sinha, S. S. Hussain, T. S. Ustun, and A. Iqbal, “Simultaneous analysis of frequency and voltage control of the interconnected hybrid power system in presence of facts devices and demand response scheme,” Energy Rep., vol. 7, pp. 74457459, 2021.

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    A. Pappachen and A. P. Fathima, “Critical research areas on load frequency control issues in a deregulated power system: A state-of-theart-of-review,” Renew. Sustain. Energy Rev., vol. 72, pp. 163177, 2017.

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    T. Kumar, V. Mukherjee, and A. Y. Abdelaziz, “Comparative study of classical controllers for lfc of an isolated hybrid distributive generation system,” Int. J. Eng. Sci. Technol., vol. 7, no. 3, pp. 133140, 2015.

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    J. Singh, K. Chattterjee, and C. Vishwakarma, “Two degree of freedom internal model control-PID design for LFC of power systems via logarithmic approximations,” ISA Trans., vol. 72, pp. 185196, 2018.

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    G. Mohapatra, M. K. Debnath, and K. K. Mohapatra, “Application of 2DOF and 3DOF controller for LFC analysis in multi-generation system,” in Proceedings of Innovation in Electrical Power Engineering, Communication, and Computing Technology, Bhubaneswar, India, 2019, Lecture Notes in Electrical Engineering , vol. 630, 2020, pp. 521529.

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    A. G. Pillai and E. R. Samuel, “PSO based LQR-PID output feedback for load frequency control of reduced power system model using balanced truncation,” Int. Trans. Electr. Energy Syst., vol. 31, no. 9, 2021, Paper no. e13012.

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    A. Rahman, L. C. Saikia, and N. Sinha, “Load frequency control of a hydro-thermal system under deregulated environment using biogeography-based optimized three-degree-of-freedom integralderivative controller,” IET Generation, Transm. Distribution, vol. 9, no. 15, pp. 22842293, 2015.

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  • [14]

    Z. Farooq, A. Rahman, and S. A. Lone, “System dynamics and control of EV incorporated deregulated power system using MBO-optimized cascaded ID-PD controller,” Int. Trans. Electr. Energy Syst., vol. 31, no. 11, 2021, Paper no. e13100.

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    D. Mohan and A. Ahmad, “Congestion management using grey wolf optimization in a deregulated power market,” Pollack Period., vol. 17, no. 2, pp. 1419, 2022.

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    M. Chankaya, A. Ahmad, and I. Hussain, “Tree growth optimization based control of grid-tied PV system,” Pollack Period., vol. 17, no. 2, pp. 813, 2021.

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  • [17]

    M. M. Elsaied, M. A. Attia, M. A. Mostafa, and S. F. Mekhamer, “Application of different optimization techniques to load frequency control with WECS in a multi-area system,” Electric Power Compon. Syst., vol. 46, no. 7, pp. 739756, 2018.

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    Z. Farooq, A. Rahman, and S. A. Lone, “Load frequency control of multi-source electrical power system integrated with solar-thermal and electric vehicle,” Int. Trans. Electr. Energy Syst., vol. 31, no. 7, 2021, Paper no. e12918.

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  • [19]

    Z. Farooq, A. Rahman, and S. A. Lone, “Multi-stage fractional-order controller for frequency mitigation of EV-based hybrid power system,” IETE J. Res., 2022. https://doi.org/10.1080/03772063.2022.2061609.

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  • [20]

    Z. Farooq, A. Rahman, and S. A. Lone, “Power generation control of restructured hybrid power system with FACTS and energy storage devices using optimal cascaded fractional-order controller,” Optim Control Appl. Meth, vol. 43, no. 3, pp. 757786, 2022.

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  • [21]

    Z. Farooq, A. Rahman, S. M. Hussain, and T. S. Ustun, “Power generation control of renewable energy based hybrid deregulated power system,” Eneries, vol. 15, no. 2, 2022, Paper no. 517.

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  • [22]

    Z. Farooq, S. Safiullah, A. Rahman, S. M. S. Hussain, and T. S. Ustun, “Evaluating the optimal electric vehicle location for a hybrid energy system controlled with novel active disturbance rejection controller,” World Electric Vehicle J., vol. 13, no. 10, 2022, Paper no. 2022.

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  • [23]

    S. Safiullah, A. Rahman, and S. A. Lone, “Optimal control of electrical vehicle incorporated hybrid power system with second order fractional-active disturbance rejection controller,” Optim Control Appl. Meth, vol. 44, no. 2, pp. 905934, 2023.

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  • [24]

    S. Safiullah, A. Rahman, and S. A. Lone, “State-observer based IDD controller for concurrent frequency-voltage control of a hybrid power system with electric vehicle uncertainties,” Int. Trans. Electr. Energ Syst., vol. 31, no. 11, 2021, Paper no. e13083.

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  • [25]

    S. Safiullah, A. Rahman, and S. A. Lone, “A 2nd order active disturbance rejection controller for coordinated frequency-voltage control of deregulated hybrid power system,” Electric Power Syst. Res., vol. 210, 2022, Paper no. 108129.

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  • [26]

    Z. Farooq, S. Safiullah and A. Rahman, “Load frequency control of hybrid power system using modified disturbance rejection controller,” in 4th International Conference on Energy, Power and Environment ,Shillong, India, April 29–May 1, 2022, pp. 16.

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  • [27]

    S. Safiullah, A. Rahman, and S. A. Lone, “A second-order ADRC for synchronized frequency-voltage mitigation of EV integrated power system,” IETE J. Res., 2022. https://doi.org/10.1080/03772063.2022.2120105.

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  • [28]

    S. Safiullah, A. Rahman, S. A. Lone, S. M. S. Hussain, and T. S. Ustun, “Novel Covid-19 based optimization algorithm (C-19BOA) for performance improvement of power systems,” Sustainability, vol. 14, no. 21, 2022, Paper no. 14287.

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    H. Bevrani, Robust Power System Frequency Control. Springer, 2014.

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    D. Q. Mayne, “Model predictive control: Recent developments and future promise,” Automatica, vol. 50, no. 12, pp. 29672986, 2014.

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    M. Parida and J. Nanda, “Automatic generation control of a hydrothermal system in deregulated environment,” in 2005 International Conference on Electrical Machines and Systems, vol. 2, Nanjing, China, September 27–29, 2005, pp. 942947.

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  • Bálint Bachmann (Institute of Architecture, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Jeno Balogh (Department of Civil Engineering Technology, Metropolitan State University of Denver, Denver, Colorado, USA)
  • Radu Bancila (Department of Geotechnical Engineering and Terrestrial Communications Ways, Faculty of Civil Engineering and Architecture, “Politehnica” University Timisoara, Romania)
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  • Anikó Borbála Csébfalvi (Department of Civil Engineering, Institute of Smart Technology and Engineering, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
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  • Teuta Jashari-Kajtazi (Department of Architecture, Faculty of Civil Engineering and Architecture, University of Prishtina, Kosovo)
  • Róbert Kersner (Department of Technical Informatics, Institute of Information and Electrical Technology, Faculty of Engineering and Information Technology, University of Pécs, Hungary)
  • Rita Kiss  (Biomechanical Cooperation Center, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Budapest, Hungary)
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2022  
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Scimago
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14
Scimago
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0.298
Scimago Quartile Score

Civil and Structural Engineering (Q3)
Computer Science Applications (Q3)
Materials Science (miscellaneous) (Q3)
Modeling and Simulation (Q3)
Software (Q3)

Scopus  
Scopus
Cite Score
1.4
Scopus
CIte Score Rank
Civil and Structural Engineering 256/350 (27th PCTL)
Modeling and Simulation 244/316 (22nd PCTL)
General Materials Science 351/453 (22nd PCTL)
Computer Science Applications 616/792 (22nd PCTL)
Software 344/404 (14th PCTL)
Scopus
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0.861

2021  
Web of Science  
Total Cites
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not indexed
5 Year
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Scimago  
Scimago
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Journal Rank
0,26
Scimago Quartile Score Civil and Structural Engineering (Q3)
Materials Science (miscellaneous) (Q3)
Computer Science Applications (Q4)
Modeling and Simulation (Q4)
Software (Q4)
Scopus  
Scopus
Cite Score
1,5
Scopus
CIte Score Rank
Civil and Structural Engineering 232/326 (Q3)
Computer Science Applications 536/747 (Q3)
General Materials Science 329/455 (Q3)
Modeling and Simulation 228/303 (Q4)
Software 326/398 (Q4)
Scopus
SNIP
0,613

2020  
Scimago
H-index
11
Scimago
Journal Rank
0,257
Scimago
Quartile Score
Civil and Structural Engineering Q3
Computer Science Applications Q3
Materials Science (miscellaneous) Q3
Modeling and Simulation Q3
Software Q3
Scopus
Cite Score
340/243=1,4
Scopus
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Civil and Structural Engineering 219/318 (Q3)
Computer Science Applications 487/693 (Q3)
General Materials Science 316/455 (Q3)
Modeling and Simulation 217/290 (Q4)
Software 307/389 (Q4)
Scopus
SNIP
1,09
Scopus
Cites
321
Scopus
Documents
67
Days from submission to acceptance 136
Days from acceptance to publication 239
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Rate
48%

 

2019  
Scimago
H-index
10
Scimago
Journal Rank
0,262
Scimago
Quartile Score
Civil and Structural Engineering Q3
Computer Science Applications Q3
Materials Science (miscellaneous) Q3
Modeling and Simulation Q3
Software Q3
Scopus
Cite Score
269/220=1,2
Scopus
Cite Score Rank
Civil and Structural Engineering 206/310 (Q3)
Computer Science Applications 445/636 (Q3)
General Materials Science 295/460 (Q3)
Modeling and Simulation 212/274 (Q4)
Software 304/373 (Q4)
Scopus
SNIP
0,933
Scopus
Cites
290
Scopus
Documents
68
Acceptance
Rate
67%

 

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Pollack Periodica
Language English
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2006
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per Year
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ISSN 1788-1994 (Print)
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