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Novel Planning Methodology for Spatially Optimized RES Development Which Minimizes Flexibility Requirements for Their Integration into the Power System

Author

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  • Bojana Škrbić

    (School of Electrical Engineering, University of Belgrade, 11000 Belgrade, Serbia)

  • Željko Đurišić

    (School of Electrical Engineering, University of Belgrade, 11000 Belgrade, Serbia)

Abstract

An optimization model which determines optimal spatial allocation of wind (WPPs) and PV power plants (PVPPs) for an energy independent power system is developed in this paper. Complementarity of the natural generation profiles of WPPs and PVPPs, as well as differences between generation profiles of WPPs and PVPPs located in different regions, gives us opportunity to optimize the generation capacity structure and spatial allocation of renewable energy sources (RES) in order to satisfy the energy needs while alleviating the total flexibility requirements in the power system. The optimization model is based on least squared error minimization under constraints where the error represents the difference between total wind and solar generation and the referent consumption profile. This model leverages between total energy and total power requirements that flexibility resources in the considered power system need to provide in the sense that the total balancing energy minimization implicitly bounds the power imbalances over the considered time period. Bounding the power imbalances is important for minimizing investment costs for additional flexibility resources. The optimization constraints bound the installed power plant capacity in each region according to the estimated technically available area and force the total energy production to equal the targeted energy needs. The proposed methodology is demonstrated through the example of long-term RES planning development for complete decarbonization of electric energy generation in Serbia. These results could be used as a foundation for the development of the national energy strategy by serving as a guidance for defining capacity targets for regional capacity auctions in order to direct the investments in wind and solar power plants and achieve transition to dominantly renewable electricity production.

Suggested Citation

  • Bojana Škrbić & Željko Đurišić, 2023. "Novel Planning Methodology for Spatially Optimized RES Development Which Minimizes Flexibility Requirements for Their Integration into the Power System," Energies, MDPI, vol. 16(7), pages 1-34, April.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:7:p:3251-:d:1116420
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    as
    1. Lu, Bin & Blakers, Andrew & Stocks, Matthew & Cheng, Cheng & Nadolny, Anna, 2021. "A zero-carbon, reliable and affordable energy future in Australia," Energy, Elsevier, vol. 220(C).
    2. Michael C. Huang & Chul Ju Kim, 2021. "Investigating Cost-Effective Policy Incentives For Renewable Energy In Japan: A Recursive Cge Approach For An Optimal Energy Mix," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 66(02), pages 507-528, March.
    3. Carlo Carraro & Massimo Tavoni & Thomas Longden & Giacomo Marangoni, 2013. "The Optimal Energy Mix in Power Generation and the Contribution from Natural Gas in Reducing Carbon Emissions to 2030 and Beyond," CESifo Working Paper Series 4432, CESifo.
    4. Gómez-Calvet, Roberto & Martínez-Duart, José Manuel & Serrano-Calle, Silvia, 2019. "Current state and optimal development of the renewable electricity generation mix in Spain," Renewable Energy, Elsevier, vol. 135(C), pages 1108-1120.
    5. Hirth, Lion & Ueckerdt, Falko & Edenhofer, Ottmar, 2015. "Integration costs revisited – An economic framework for wind and solar variability," Renewable Energy, Elsevier, vol. 74(C), pages 925-939.
    6. Henrik Lund & Finn Arler & Poul Alberg Østergaard & Frede Hvelplund & David Connolly & Brian Vad Mathiesen & Peter Karnøe, 2017. "Simulation versus Optimisation: Theoretical Positions in Energy System Modelling," Energies, MDPI, vol. 10(7), pages 1-17, June.
    7. Vladimir Potashnikov & Alexander Golub & Michael Brody & Oleg Lugovoy, 2022. "Decarbonizing Russia: Leapfrogging from Fossil Fuel to Hydrogen," Energies, MDPI, vol. 15(3), pages 1-27, January.
    8. Sonja Simon & Tobias Naegler & Hans Christian Gils, 2018. "Transformation towards a Renewable Energy System in Brazil and Mexico—Technological and Structural Options for Latin America," Energies, MDPI, vol. 11(4), pages 1-26, April.
    9. Dranka, Géremi Gilson & Ferreira, Paula & Vaz, A. Ismael F., 2021. "A review of co-optimization approaches for operational and planning problems in the energy sector," Applied Energy, Elsevier, vol. 304(C).
    10. Poncelet, Kris & Delarue, Erik & D’haeseleer, William, 2020. "Unit commitment constraints in long-term planning models: Relevance, pitfalls and the role of assumptions on flexibility," Applied Energy, Elsevier, vol. 258(C).
    11. Marco Navia & Renan Orellana & Sulmayra Zaráte & Mauricio Villazón & Sergio Balderrama & Sylvain Quoilin, 2022. "Energy Transition Planning with High Penetration of Variable Renewable Energy in Developing Countries: The Case of the Bolivian Interconnected Power System," Energies, MDPI, vol. 15(3), pages 1-35, January.
    12. Luz, Thiago & Moura, Pedro, 2019. "100% Renewable energy planning with complementarity and flexibility based on a multi-objective assessment," Applied Energy, Elsevier, vol. 255(C).
    13. Anasis, John G. & Khalil, Mohammad Aslam Khan & Butenhoff, Christopher & Bluffstone, Randall & Lendaris, George G., 2018. "A Combined Energy and Geoengineering Optimization Model (CEAGOM) for climate and energy policy analysis," Applied Energy, Elsevier, vol. 218(C), pages 246-255.
    14. Zozmann, Elmar & Göke, Leonard & Kendziorski, Mario & Rodriguez del Angel, Citlali & von Hirschhausen, Christian & Winkler, Johanna, 2021. "100% Renewable Energy Scenarios for North America—Spatial Distribution and Network Constraints," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 14(3).
    15. Zong Woo Geem & Jin-Hong Kim, 2016. "Optimal Energy Mix with Renewable Portfolio Standards in Korea," Sustainability, MDPI, vol. 8(5), pages 1-14, May.
    16. Marcin Bukowski & Janusz Majewski & Agnieszka Sobolewska, 2023. "The Environmental Impact of Changes in the Structure of Electricity Sources in Europe," Energies, MDPI, vol. 16(1), pages 1-22, January.
    17. Mallapragada, Dharik S. & Papageorgiou, Dimitri J. & Venkatesh, Aranya & Lara, Cristiana L. & Grossmann, Ignacio E., 2018. "Impact of model resolution on scenario outcomes for electricity sector system expansion," Energy, Elsevier, vol. 163(C), pages 1231-1244.
    18. Das, Partha & Kanudia, Amit & Bhakar, Rohit & Mathur, Jyotirmay, 2022. "Intra-regional renewable energy resource variability in long-term energy system planning," Energy, Elsevier, vol. 245(C).
    19. Frédéric Babonneau & Javiera Barrera & Javiera Toledo, 2021. "Decarbonizing the Chilean Electric Power System: A Prospective Analysis of Alternative Carbon Emissions Policies," Energies, MDPI, vol. 14(16), pages 1-16, August.
    20. Philip J. Heptonstall & Robert J. K. Gross, 2021. "A systematic review of the costs and impacts of integrating variable renewables into power grids," Nature Energy, Nature, vol. 6(1), pages 72-83, January.
    21. Thangavelu, Sundar Raj & Khambadkone, Ashwin M. & Karimi, Iftekhar A., 2015. "Long-term optimal energy mix planning towards high energy security and low GHG emission," Applied Energy, Elsevier, vol. 154(C), pages 959-969.
    22. Scott, Ian J. & Carvalho, Pedro M.S. & Botterud, Audun & Silva, Carlos A., 2019. "Clustering representative days for power systems generation expansion planning: Capturing the effects of variable renewables and energy storage," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    23. Dan Tong & Qiang Zhang & Yixuan Zheng & Ken Caldeira & Christine Shearer & Chaopeng Hong & Yue Qin & Steven J. Davis, 2019. "Committed emissions from existing energy infrastructure jeopardize 1.5 °C climate target," Nature, Nature, vol. 572(7769), pages 373-377, August.
    24. Hans Christian Gils & Sonja Simon & Rafael Soria, 2017. "100% Renewable Energy Supply for Brazil—The Role of Sector Coupling and Regional Development," Energies, MDPI, vol. 10(11), pages 1-22, November.
    25. Elmar Zozmann & Leonard Göke & Mario Kendziorski & Citlali Rodriguez del Angel & Christian von Hirschhausen & Johanna Winkler, 2021. "100% Renewable Energy Scenarios for North America—Spatial Distribution and Network Constraints," Energies, MDPI, vol. 14(3), pages 1-17, January.
    26. Kotur, Dimitrije & Đurišić, Željko, 2017. "Optimal spatial and temporal demand side management in a power system comprising renewable energy sources," Renewable Energy, Elsevier, vol. 108(C), pages 533-547.
    27. Verástegui, Felipe & Lorca, Álvaro & Olivares, Daniel & Negrete-Pincetic, Matias, 2021. "Optimization-based analysis of decarbonization pathways and flexibility requirements in highly renewable power systems," Energy, Elsevier, vol. 234(C).
    28. Arman Aghahosseini & Dmitrii Bogdanov & Christian Breyer, 2017. "A Techno-Economic Study of an Entirely Renewable Energy-Based Power Supply for North America for 2030 Conditions," Energies, MDPI, vol. 10(8), pages 1-28, August.
    29. Sasse, Jan-Philipp & Trutnevyte, Evelina, 2019. "Distributional trade-offs between regionally equitable and cost-efficient allocation of renewable electricity generation," Applied Energy, Elsevier, vol. 254(C).
    30. Sungheum Cho & Hana Kim & Sanghoon Lee & Sangil Kim & Eui-Chan Jeon, 2020. "Optimal energy mix for greenhouse gas reduction with renewable energy – The case of the South Korean electricity sector," Energy & Environment, , vol. 31(6), pages 1055-1076, September.
    31. Anasis, John G. & Khalil, Mohammad Aslam Khan & Butenhoff, Christopher & Bluffstone, Randall & Lendaris, George G., 2019. "Optimal energy resource mix for the US and China to meet emissions pledges," Applied Energy, Elsevier, vol. 238(C), pages 92-100.
    32. Berntsen, Philip B. & Trutnevyte, Evelina, 2017. "Ensuring diversity of national energy scenarios: Bottom-up energy system model with Modeling to Generate Alternatives," Energy, Elsevier, vol. 126(C), pages 886-898.
    33. Lohr, C. & Schlemminger, M. & Peterssen, F. & Bensmann, A. & Niepelt, R. & Brendel, R. & Hanke-Rauschenbach, R., 2022. "Spatial concentration of renewables in energy system optimization models," Renewable Energy, Elsevier, vol. 198(C), pages 144-154.
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