A Novel Approach Based Optimal Power Scheduling of GENCOs to Improve the Profit in Electricity Market Considering Wind Power Generation

V Kamalanathan; K Asokan

doi:10.17485/IJST/v16i36.1065

Article

A Novel Approach Based Optimal Power Scheduling of GENCOs to Improve the Profit in Electricity Market Considering Wind Power Generation

VIEWS 296
PDF 97

Indian Journal of Science and Technology

DOI: 10.17485/IJST/v16i36.1065

Year: 2023, Volume: 16, Issue: 36, Pages: 2952-2964

Original Article

A Novel Approach Based Optimal Power Scheduling of GENCOs to Improve the Profit in Electricity Market Considering Wind Power Generation

V Kamalanathan^1*, K Asokan²

¹Research Scholar, Department of Electrical Engineering, Annamalai University, Annamalainagar, Tamil Nadu, India
²Associate Professor, Department of Electrical and Electronics Engineering, Government college of Engineering, Bargur, Tamil Nadu, India

*Corresponding Author
Email: [email protected]

Received Date:05 May 2023, Accepted Date:19 August 2023, Published Date:27 September 2023

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Objectives: The main objective of this present work is to maximize the profit of Power Generation Companies (GENCOs) and minimize the environmental emissions in a competitive electricity Market. The unit commitment methodology is considered to enhance the profit of GENCOs. Here, the steam plants are integrated with wind farms to improve the income of GENCOs. Methods: A novel nature-inspired human-based optimization algorithm of Corona Virus Herd Immunity Optimizer (CVHIO) is proposed for solution of this problem. Initially, the searching parameters of CVHIO determine the best scheduling of thermal and wind generators. Then the CVHIO efficiently optimizes the thermal and wind variables like real power, reserve power allocation and wind speed. Findings: Numerical example with IEEE 39 bus test system (10 thermal units 24 hours) integrated with two wind generating forms is considered to assess the performance of planned CVHIO. The obtained simulation results of Thermal power, Wind power; Reserve power, Emission level, Revenue, Total operating cost and Profit are tabulated. Novelty: The CVHIO is recently developed powerful optimizer and parameter free algorithm, so easily reaches the global optimal solutions. The final outcomes of this approach are analyzed with other conventional and intelligent techniques for validating the superiority of devised algorithm.

Keywords: Deregulation; Profit Based Unit Commitment; Profit maximization; wind power generation; Corona Virus Herd Immunity Optimizer

References

Abdi H. Profit-based unit commitment problem: A review of models, methods, challenges, and future directions. Renewable and Sustainable Energy Reviews. 2021;138:110504. Available from: https://doi.org/10.1016/j.rser.2020.110504
Elkamel M, Ahmadian A, Diabat A, Zheng QP. Stochastic optimization for price-based unit commitment in renewable energy-based personal rapid transit systems in sustainable smart cities. Sustainable Cities and Society. 2021;65:102618. Available from: https://doi.org/10.1016/j.scs.2020.102618
Kumar V, Naresh R, Sharma V. GAMS Environment Based Solution Methodologies for Ramp Rate Constrained Profit Based Unit Commitment Problem. Iranian Journal of Science and Technology, Transactions of Electrical Engineering. 2021;45(4):1325–1342. Available from: https://doi.org/10.1007/s40998-021-00447-4
Li J, Zhou S, Xu Y, Zhu M, Ye L. A multi-band uncertainty set robust method for unit commitment with wind power generation. International Journal of Electrical Power & Energy Systems. 2021;131:107125. Available from: https://doi.org/10.1016/j.ijepes.2021.107125
Kumar V, Naresh R. Application of BARON Solver for Solution of Cost Based Unit Commitment Problem. International Journal on Electrical Engineering and Informatics. 2020;12(4):807–827. Available from: http://ijeei.org/docs-14455679875fe84146c2de0.pdf
Cheng Q, Ming B, Liu P, Huang K, Gong Y, Li X, et al. Solving hydro unit commitment problems with multiple hydraulic heads based on a two-layer nested optimization method. Renewable Energy. 2021;172:317–326. Available from: https://doi.org/10.1016/j.renene.2021.02.126
Anbazhagi T, Asokan K, Ashokkumar R. A mutual approach for profit-based unit commitment in deregulated power system integrated with renewable energy sources. Transactions of the Institute of Measurement and Control. 2021;43(5):1102–1116. Available from: https://doi.org/10.1177/0142331220966312
Kumar V, Naresh R, Sharma V. Profit based unit commitment problem solution using metaheuristic optimisation approach. International Journal of Systems Science: Operations & Logistics. 2023;10(1):2037–2046. Available from: https://doi.org/10.1080/23302674.2022.2037026
Larijani MM, Kamarposhti MA, Nouri T. Stochastic Unit Commitment Study in a Power System with Flexible Load in Presence of High Penetration Renewable Farms. International Journal of Energy Research. 2023;2023:1–19. Available from: https://doi.org/10.1155/2023/9979610
Dhaliwal JS, Dhillon JS. A synergy of binary differential evolution and binary local search optimizer to solve multi-objective profit based unit commitment problem. Applied Soft Computing. 2021;107:107387. Available from: https://doi.org/10.1016/j.asoc.2021.107387
Vasiyullah SFS, Bharathidasan SG. Profit Based Unit Commitment of Thermal Units with Renewable Energy and Electric Vehicles in Power Market. Journal of Electrical Engineering & Technology. 2021;16(1):115–129. Available from: https://doi.org/10.1007/s42835-020-00579-3
Kumar V, Naresh R, Sharma V, Kumar V. Generation Scheduling Considering Emissions in Cost-Based Unit Commitment Problem. In: Renewable Energy Towards Smart Grid , Lecture Notes in Electrical Engineering . Singapore. Springer Nature Singapore. 823:209–224.
Singh A, Sharma V, Kumar V, Naresh R, Rahi OP, Kumar V. Investigation of PBUC problem with RES and EV in restructured environment. Wind Engineering. 2023. Available from: https://doi.org/10.1177/0309524X231185492
Pan J, Liu T. Optimal scheduling for unit commitment with electric vehicles and uncertainty of renewable energy sources. Energy Reports. 2022;8:13023–13036. Available from: https://doi.org/10.1016/j.egyr.2022.09.087
Nandi A, Kamboj VK, Khatri M. Hybrid chaotic approaches to solve profit based unit commitment with plug-in electric vehicle and renewable energy sources in winter and summer. Materials Today: Proceedings. 2022;60:1865–1873. Available from: https://doi.org/10.1016/j.matpr.2021.12.525
Al-Betar MA, Alyasseri ZAA, Awadallah MA, Doush IA. Coronavirus herd immunity optimizer (CHIO) Neural Computing and Applications. 2021;33:5011–5042. Available from: https://doi.org/10.1007/s00521-020-05296-6
Anita M, Raina R, Raglend J. Solution of Profit Based Unit Commitment Including Wind Energy Using Improved Shuffled Frog Leaping Algorithm. International Journal of Renewable Energy Research (IJRER). 2022;12(2):1097–1104. Available from: https://www.ijrer.org/ijrer/index.php/ijrer/article/view/12883/pdf
El-Ela AAA, Allam SM, Doso AS. Optimal Unit Commitment with Renewable Energy in Regulated and Deregulated Systems. Energy and Power Engineering. 2022;14(8):420–442. Available from: https://www.scirp.org/journal/paperinformation.aspx?paperid=119614
Kumar V, Naresh R, Singh A. Scheduling of Energy on Deregulated Environment of Profit based Unit Commitment Problem. In: 2020 IEEE 9th Power India International Conference (PIICON). Sonepat, India, 28 February 2020 - 01 March 2020. IEEE. .
Hooda M, Awasthi YK, Thakur N, Siddiqui AS. Profit based unit commitment problem solving using hybrid CUCKOO-GWO algorithm. In: International Conference on Future of Engineering Systems and Technologies, Journal of Physics: Conference Series. Greater Noida, India, 21-22 December 2019. 1478:1012–1015.
Alqunun K, Guesmi T, Albaker AF, Alturki MT. Stochastic Unit Commitment Problem, Incorporating Wind Power and an Energy Storage System. Sustainability. 2020;12(23):1–17. Available from: https://doi.org/10.3390/su122310100
Gilvaei MN, Imani MH, Ghadi MJ, Li L, Golrang A. Profit-based unit commitment for a GENCO equipped with compressed air energy storage and concentrating solar power units. Energies . 2021;14(3):1–20. Available from: https://doi.org/10.3390/en14030576
Alqunun K. Optimal Unit commitment problem considering stochastic wind energy penetration. Engineering Technology & Applied Science Research. 2020;10(5):6316–6322. Available from: https://doi.org/10.48084/etasr.3795

Copyright

© 2023 Kamalanathan & Asokan. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)