Planning, operation, and design of market-based virtual power plant considering uncertainty

Journal article


Hassanin, H., Ullah, Z., Arshad, Cugley, J. and Al-Alawi, M. 2022. Planning, operation, and design of market-based virtual power plant considering uncertainty. Energies. 19 (15), p. 7290. https://doi.org/10.3390/en15197290
AuthorsHassanin, H., Ullah, Z., Arshad, Cugley, J. and Al-Alawi, M.
Abstract

The power systems of today seem inseparable from clean energy sources such as wind turbines (WTs) and photovoltaics (PVs). However, due to their uncertain nature, operational challenges are expected when WT and PV energy is added to the electricity network. It is necessary to introduce new technologies to compensate for the intermittent nature of renewable energy sources (RESs). Therefore, rationally implementing a demand response (DR) program with energy storage systems (ESSs) in a virtual power plant (VPP) environment is recommended as a way forward to minimize the volatile nature of RESs and improve power system reliability. Our proposed approach aims to maximize social welfare (SW) (i.e., maximization of consumer benefits while minimizing energy costs). Our method assesses the impact of the DR program on SW maximization. Two scenarios are examined, one with and one without a DR program. Stochastic programming theory is used to address the optimization problem. The uncertain behavior of WTs, PVs, and load demand is modeled using a scenario-based approach. The correctness of the proposed approach is demonstrated on a 16-bus UK generic distribution system. Our results show that SW and active power dispatch capacity of WT, PV, and ESS are fairly increased using the proposed approach. View Full-Text

KeywordsVirtual power plant; Uncertainty modeling;; Renewable energy sources;; Climate change; Electricity market; Stochastic programming; Social welfare
Year2022
JournalEnergies
Journal citation19 (15), p. 7290
PublisherMDPI
Digital Object Identifier (DOI)https://doi.org/10.3390/en15197290
Official URLhttps://www.mdpi.com/1996-1073/15/19/7290
Publication dates
Online04 Oct 2022
Publication process dates
Accepted28 Sep 2022
Deposited31 Oct 2022
Publisher's version
License
File Access Level
Open
Output statusPublished
References

1. Ullah, Z., & Baseer, M. (2022). Operational planning and design of market-based virtual power plant with high penetration of renewable energy sources. International Journal of Renewable Energy Development, 11(3), 620-629. DOI: 10.14710/ijred.2022.44586
2. Naval, N., & Yusta, J. M. (2021). Virtual power plant models and electricity markets-A review. Renewable and Sustainable Energy Reviews, 149, 111393. DOI:10.1016/J.RSER.2021.111393
3. Ullah, Z., & Mirjat, N. H. (2021). Virtual power plant: state of the art providing energy flexibility to local distribution grids. In E3S Web of Conferences (Vol. 231, p. 01002). EDP Sciences. DOI:10.1051/E3SCONF/202123101002
4. Wang, X., Liu, Z., Zhang, H., Zhao, Y., Shi, J., & Ding, H. (2019). A review on virtual power plant concept, application and challenges. 2019 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia), 4328-4333.DOI:10.1109/ISGTAsia.2019.8881433
5. Koza, E., & Öztürk, A. (2021, September). A Literature Review to Analyze the State of the Art of Virtual Power Plants in Context of Information Security. In Environmental Informatics (pp. 49-69). Springer, Cham. DOI: 10.1007/978-3-030-88063-7_4
6. Ullah, Z., Mokryani, G., Campean, F., & Hu, Y. F. (2019). Comprehensive review of VPPs planning, operation and scheduling considering the uncertainties related to renewable energy sources. IET Energy Systems Integration, 1(3), 147-157. https://doi.org/10.1049/iet-esi.2018.0041
7. Yan, Q., Ai, X., & Li, J. (2021). Low-Carbon Economic Dispatch Based on a CCPP-P2G Virtual Power Plant Considering Carbon Trading and Green Certificates. Sustainability, 13(22), 12423. DOI: 10.3390/su132212423
8. Bhuiyan, E. A., Hossain, M. Z., Muyeen, S. M., Fahim, S. R., Sarker, S. K., & Das, S. K. (2021). Towards next generation virtual power plant: Technology review and frameworks. Renewable and Sustainable Energy Reviews, 150, 111358. DOI:10.1016/j.rser.2021.111358
9. Act, C.C., 2008. Climate Change Act 2008. See http://www. legislation. gov. uk/ukpga/2008/27/contents (accessed 13/11/2013).
10. Rogelj, J., Den Elzen, M., Höhne, N., Fransen, T., Fekete, H., Winkler, H., & Meinshausen, M. (2016). Paris Agreement climate proposals need a boost to keep warming well below 2 C. Nature, 534(7609), 631-639.
11. McKenna, K., & Keane, A. (2015). Residential load modeling of price-based demand response for network impact studies. IEEE Transactions on Smart Grid, 7(5), 2285-2294. DOI: 10.1109/TSG.2015.2437451
12. Ullah, Z., & Hassanin, H. (2022). Modeling, optimization, and analysis of a virtual power plant demand response mechanism for the internal electricity market considering the uncertainty of renewable energy sources. Energies, 15(14), 5296. DOI: 10.3390/en15145296
13. Vahedipour-Dahraie, M., Rashidizadeh-Kermani, H., Anvari-Moghaddam, A., & Siano, P. (2020). risk-averse probabilistic framework for scheduling of virtual power plants considering demand response and uncertainties. International Journal of Electrical Power & Energy Systems, 121, 106126. DOI:10.1016/j.ijepes.2020.106126
14. Vahedipour-Dahraie, M., Rashidizadeh-Kermani, H., Shafie-Khah, M., & Catalão, J. P. (2020). Risk-Averse Optimal Energy and Reserve Scheduling for Virtual Power Plants Incorporating Demand Response Programs. IEEE Transactions on Smart Grid, 12(2), 1405-1415. DOI: 10.1109/TSG.2020.3026971
15. Ullah, Zahid., Mirjat, N,H. (2021). "Optimisation and management of virtual power plants energy mix trading model." International Journal of Renewable Energy Development. DOI:10.14710/ijred.2022.39295
16. Ullah, Z., & Mirjat, N. H. (2021). Modelling and analysis of virtual power plants interactive operational characteristics in distribution systems. Energy Conversion and Economics. DOI: 10.1049/enc2.12033
17. Liu, J., Tang, H., Xiang, Y., Liu, J., & Zhang, L. (2017). Multi-stage market transaction method with participation of virtual power plants. Electric Power Construction, 38(3), 137-144.
18. Baseer, M., Mokryani, G., Zubo, R. H., & Cox, S. (2019). Planning of HMG with high penetration of renewable energy sources. IET Renewable Power Generation, 13(10), 1724-1730. DOI: 10.1049/iet-rpg.2018.6024
19. Lu, X., & Cheng, L. (2021). Day-Ahead Scheduling for Renewable Energy Generation Systems considering Concentrating Solar Power Plants. Mathematical Problems in Engineering, 2021. DOI:10.1155/2021/9488222
20. Yu, S., Wei, Z., Sun, G. Q., Sun, Y. H., & Wang, D. (2014). A bidding model for a virtual power plant considering uncertainties. Automation of Electric Power Systems, 38(22), 43-49.
21. Zhou, C., Huang, G., & Chen, J. (2018). Planning of electric power systems considering virtual power plants with dispatchable loads included: an inexact two-stage stochastic linear programming model. Mathematical Problems in Engineering, 2018. DOI:10.1155/2018/7049329
22. Aien, M., Hajebrahimi, A., & Fotuhi-Firuzabad, M. (2016). A comprehensive review on uncertainty modeling techniques in power system studies. Renewable and Sustainable Energy Reviews, 57, 1077-1089. DOI:10.1016/J.RSER.2015.12.070
23. Ullah, Z., & Baseer, M. (2022, August). Demand Response Strategy of a Virtual Power Plant for Internal Electricity Market. In 2022 IEEE 10th International Conference on Smart Energy Grid Engineering (SEGE) (pp. 100-104). IEEE. DOI: 10.1109/SEGE55279.2022.9889759
24. Ahmed, S. A., & Mahammed, H. O. (2012). A statistical analysis of wind power density based on the Weibull and Ralyeigh models of “Penjwen Region” Sulaimani/Iraq. Jordan Journal of Mechanical and Industrial Engineering, 6(2), 135-140. https://doi.org/10.1016/j.renene.2003.07.002
25. Reddy, S. S., Abhyankar, A. R., & Bijwe, P. R. (2012, July). Market clearing for a wind-thermal power system incorporating wind generation and load forecast uncertainties. In 2012 IEEE power and energy society general meeting (pp. 1-8). IEEE. DOI: 10.1109/PESGM.2012.6345335
26. Jónsdóttir, G. M., & Milano, F. (2019, August). Modeling solar irradiance for short-term dynamic analysis of power systems. In 2019 IEEE Power & Energy Society General Meeting (PESGM) (pp. 1-5). IEEE. DOI: 10.1109/PESGM40551.2019.8974093
27. Moe, T. T., & Lin, K. M. (2018). Solar irradiance and power output modeling of photovoltaic module for reliability studies: case study of Mandalay Region. ICSTI, Mandalay, 1-6.
28. Reddy, S. S., Panigrahi, B. K., Kundu, R., Mukherjee, R., & Debchoudhury, S. (2013). Energy and spinning reserve scheduling for a wind-thermal power system using CMA-ES with mean learning technique. International Journal of Electrical Power & Energy Systems, 53, 113-122. DOI:10.1016/j.ijepes.2013.03.032
29. Lu, X., & Cheng, L. (2021). Day-Ahead Scheduling for Renewable Energy Generation Systems considering Concentrating Solar Power Plants. Mathematical Problems in Engineering, 2021. DOI:10.1155/2021/9488222
30. Montoya-Bueno, S., Muñoz-Hernández, J. I., & Contreras, J. (2016). Uncertainty management of renewable distributed generation. Journal of Cleaner Production, 138, 103-118. DOI:10.1016/j.jclepro.2016.02.135
31. Widén, J. (2011). Correlations between large-scale solar and wind power in a future scenario for Sweden. IEEE transactions on sustainable energy, 2(2), 177-184. DOI: 10.1109/TSTE.2010.2101620
32. Reddy, S. S., Bijwe, P. R., & Abhyankar, A. R. (2013). Joint energy and spinning reserve market clearing incorporating wind power and load forecast uncertainties. IEEE Systems Journal, 9(1), 152-164. DOI: 10.1109/JSYST.2013.2272236
33. Reddy, S. S., Bijwe, P. R., & Abhyankar, A. R. (2013). Optimal posturing in day-ahead market clearing for uncertainties considering anticipated real-time adjustment costs. IEEE Systems Journal, 9(1), 177-190. DOI: 10.1109/JSYST.2013.2265664
34. Li, Y., & Zio, E. (2012). Uncertainty analysis of the adequacy assessment model of a distributed generation system. Renewable Energy, 41, 235-244. DOI:10.1016/j.renene.2011.10.025
35. Ajoulabadi, A., Gazijahani, F. S., & Najafi Ravadanegh, S. (2020). Risk-Constrained Intelligent Reconfiguration of Multi-Microgrid-Based Distribution Systems under Demand Response Exchange. In Demand Response Application in Smart Grids (pp. 119-145). Springer, Cham.
36. Baringo, L., & Rahimiyan, M. (2020). Virtual Power Plants and Electricity Markets. In e-Book. Springer Nature.
37. Soroudi, A. (2017). Power system optimization modeling in GAMS (Vol. 78). Switzerland: Springer.

Permalink -

https://repository.canterbury.ac.uk/item/92z5w/planning-operation-and-design-of-market-based-virtual-power-plant-considering-uncertainty

Download files


Publisher's version
energies-15-07290.pdf
License: CC BY 4.0
File access level: Open

  • 10
    total views
  • 0
    total downloads
  • 9
    views this month
  • 0
    downloads this month

Export as

Related outputs

Techno-economic feasibility of retired electric-vehicle batteries repurpose/reuse in second-life applications: A systematic review
Hassanin, H., Al-Alawi, M. and Cugley, J. 2022. Techno-economic feasibility of retired electric-vehicle batteries repurpose/reuse in second-life applications: A systematic review. Energy and Climate Change. 3 (100086). https://doi.org/10.1016/j.egycc.2022.100086
The epistemic insight digest: Issue : Autumn 2022
Gordon, A., Shalet, D., Simpson, S., Hassanin, H., Lawson, F., Lawson, M., Litchfield, A., Thomas, C., Canetta, E., Manley, K. and Choong, C. Shalet, D. (ed.) 2022. The epistemic insight digest: Issue : Autumn 2022. Canterbury Canterbury Christ Church University.
Modeling, optimization, and analysis of a virtual power plant demand response mechanism for the internal electricity market considering the uncertainty of renewable energy sources
Ullah, Z., Arshad and Hassanin, H. 2022. Modeling, optimization, and analysis of a virtual power plant demand response mechanism for the internal electricity market considering the uncertainty of renewable energy sources. Energies. 15 (14), p. 5296. https://doi.org/doi.org/10.3390/en15145296
Interdisciplinary engineering education - essential for the 21st century
Gordon, A., Simpson, S. and Hassanin, H. 2022. Interdisciplinary engineering education - essential for the 21st century.
Fabrication and optimisation of Ti-6Al-4V lattice-structured total shoulder implants using laser additive manufacturing
Hassanin, H., Bittredge, O., El-Sayed, M., Eldessouky, H., A. Alsaleh, N., Alrasheedi, N., Essa, K. and Ahmadein, M. 2022. Fabrication and optimisation of Ti-6Al-4V lattice-structured total shoulder implants using laser additive manufacturing. Materials. 15 (9), p. 3095. https://doi.org/10.3390/ma15093095
Multipoint forming using hole-type rubber punch
Hassanin, H., Tolipov, A., El-Sayed, M., Eldessouky, H., A. Alsaleh, N., Alfozan, A., Essa, K. and Ahmadein, M. 2022. Multipoint forming using hole-type rubber punch. Metals. 12 (3), p. 491. https://doi.org/10.3390/met12030491
Influence of bifilm defects generated during mould filling on the tensile properties of Al–Si–Mg cast alloys
El-Sayed, M., Essa, K. and Hassanin, H. 2022. Influence of bifilm defects generated during mould filling on the tensile properties of Al–Si–Mg cast alloys. Metals. https://doi.org/10.3390/met12010160
How oviform is the chicken egg? New mathematical insight into the old oomorphological problem
Valeriy G. Narushin, Darren K. Griffin, James Cugley, Michael N. Romanov and Gang Lu 2021. How oviform is the chicken egg? New mathematical insight into the old oomorphological problem. Food Control. 119 (107484). https://doi.org/10.1016/j.foodcont.2020.107484
Effect of runner thickness and hydrogen content on the mechanical properties of A356 alloy castings
El-Sayed, M., Essa, K. and Hassanin, H. 2021. Effect of runner thickness and hydrogen content on the mechanical properties of A356 alloy castings . International Journal of Metalcasting. https://doi.org/10.1007/s40962-021-00753-x
Parts design and process optimization
Hassanin, Hany, Bidare, Prveen, Zweiri, Yahya and Essa, Khamis 2021. Parts design and process optimization. in: Salunkhe, S., Hussein, H. and Davim, J. (ed.) Applications of Artificial Intelligence in Additive Manufacturing USA IGI Global. pp. 25-49
Multi stages toolpath optimisation of single point incremental forming process
Hassanin, H., Yan, Z, El-Sayed, M., Eldessouky, H., Djuansjah, J., Alsaleh, N., Essa, K. and Ahmadein, M. 2021. Multi stages toolpath optimisation of single point incremental forming process. Materials. 14 (22), p. 6794. https://doi.org/10.3390/ma14226794
Micro-additive manufacturing technologies of three-dimensional MEMS
Hassanin, H., Sheikholeslami, G., Pooya, S. and Ishaq, R. 2021. Micro-additive manufacturing technologies of three-dimensional MEMS . Advanced Engineering Materials. https://doi.org/10.1002/adem.202100422
Machine learning applied to the design and inspection of reinforced concrete bridges: Resilient methods and emerging applications
Fan , W., Chen, Y., Li, J., Sun, Y., Feng, F., Hassanin, H. and Sareh, P. 2021. Machine learning applied to the design and inspection of reinforced concrete bridges: Resilient methods and emerging applications. Structures. 33, pp. 3954-3963. https://doi.org/10.1016/j.istruc.2021.06.110
Porosity, cracks, and mechanical properties of additively manufactured tooling alloys: A review
Bidare, P., Jiménez, A., Hassanin, H. and Essa, K. 2021. Porosity, cracks, and mechanical properties of additively manufactured tooling alloys: A review. Advances in Manufacturing. https://doi.org/10.1007/s40436-021-00365-y
Laser powder bed fusion of Ti-6Al-2Sn-4Zr-6Mo alloy and properties prediction using deep learning approaches
Hassanin, H., Zweiri, Y., Finet, L., Essa, K., Qiu, C. and Attallah, M. 2021. Laser powder bed fusion of Ti-6Al-2Sn-4Zr-6Mo alloy and properties prediction using deep learning approaches. Materials. 14 (8), p. 2056. https://doi.org/10.3390/ma14082056
3DP printing of oral solid formulations: a systematic review
Brambilla, C., Okafor-Muo, O., Hassanin, H. and ElShaer, A. 2021. 3DP printing of oral solid formulations: a systematic review. Pharmaceutics. 13 (3), p. 358. https://doi.org/10.3390/pharmaceutics13030358
Powder-based laser hybrid additive manufacturing of metals: A review
Hassanin, H. 2021. Powder-based laser hybrid additive manufacturing of metals: A review. The International Journal of Advanced Manufacturing Technology.
Micro-fabrication of ceramics: additive manufacturing and conventional technologies
Hassanin, H., Essa, K., Elshaer, A., Imbaby, M. and El-Sayed, T. E. 2021. Micro-fabrication of ceramics: additive manufacturing and conventional technologies. Journal of Advanced Ceramics. 10, pp. 1-27. https://doi.org/10.1007/s40145-020-0422-5
A 2-D imaging-assisted geometrical transformation method for non- destructive evaluation of the volume and surface area of avian eggs
Valeriy G. Narushin, Gang Lu, Cugley, J., Michael N. Romanov and Darren K. Griffin 2020. A 2-D imaging-assisted geometrical transformation method for non- destructive evaluation of the volume and surface area of avian eggs. Food Control. 112 (107112). https://doi.org/10.1016/j.foodcont.2020.107112
Digital imaging assisted geometry of chicken eggs using Hügelschäffer's model
Valeriy G. Narushin, Michael N. Romanov, Gang Lu, James Cugkey and Darren K. Griffin 2020. Digital imaging assisted geometry of chicken eggs using Hügelschäffer's model. Biosystems Engineering. 197, pp. 45-55. https://doi.org/10.1016/j.biosystemseng.2020.06.008
4D Printing of origami structures for minimally invasive surgeries using functional scaffold
Langford, T, Mohammed, A., Essa, K., Elshaer, A. and Hassanin, H. 2020. 4D Printing of origami structures for minimally invasive surgeries using functional scaffold. Applied Sciences. 11 (1), p. 332. https://doi.org/10.3390/app11010332
Reconfigurable multipoint forming using waffle-type elastic cushion and variable loading profile
Hassanin, H., Mohammed, M., Abdel-Wahab, A. and Essa, K 2020. Reconfigurable multipoint forming using waffle-type elastic cushion and variable loading profile. Materials.
3D printing of solid oral dosage forms: numerous challenges with unique opportunities
Hassanin, H. 2020. 3D printing of solid oral dosage forms: numerous challenges with unique opportunities. Journal of Pharmaceutical Sciences. https://doi.org/10.1016/j.xphs.2020.08.029
Design optimisation of additively manufactured titanium lattice structures for biomedical implants
El-Sayed, M.A., Essa, K., Ghazy, M. and Hassanin, H. 2020. Design optimisation of additively manufactured titanium lattice structures for biomedical implants. The International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-020-05982-8
4D Printing of NiTi auxetic structure with improved ballistic performance
Hassanin, H., Abena, A., Elsayed, M.A. and Essa, K. 2020. 4D Printing of NiTi auxetic structure with improved ballistic performance. Micromachines. 11 (8), p. 745. https://doi.org/doi.org/10.3390/mi11080745