IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i10p2789-d553393.html
   My bibliography  Save this article

Operational Planning of Energy for Non-Interconnected Zones: A Simulation-Optimization Approach and a Case Study to Tackle Energy Poverty in Colombia

Author

Listed:
  • Maria Acuna

    (Industrial Engineering Department, School of Engineering, Pontificia Universidad Javeriana, Bogota 110231, Colombia)

  • Carlos Silva

    (Industrial Engineering Department, School of Engineering, Pontificia Universidad Javeriana, Bogota 110231, Colombia)

  • Andrés Tocaruncho

    (Industrial Engineering Department, School of Engineering, Pontificia Universidad Javeriana, Bogota 110231, Colombia)

  • Diana Vargas

    (Industrial Engineering Department, School of Engineering, Pontificia Universidad Javeriana, Bogota 110231, Colombia)

  • Diego Patiño

    (Electronics Department, School of Engineering, Pontificia Universidad Javeriana, Bogota 110231, Colombia)

  • David Barrera

    (Industrial Engineering Department, School of Engineering, Pontificia Universidad Javeriana, Bogota 110231, Colombia)

  • Johan Peña

    (Electronics Department, School of Engineering, Pontificia Universidad Javeriana, Bogota 110231, Colombia)

Abstract

There is a need to look for alternative sources of renewable energy, especially in zones where people continue to live under energy poverty conditions. Consequently, to enhance the performance of energy systems, algorithms to support planning decisions are required. This article proposes a simulation-optimization framework to solve the stochastic version of the integrated energy dispatch and unit commitment problem for a solar radiation system operating in non-interconnected zones. Our study was motivated by challenges faced by a rural school located in Cundinamarca, Colombia. Particularly, a simulation with optimization-based iterations approach is used, modeling solar radiation as a random variable. The optimization phase uses a heuristic procedure that enables good solutions to be found in short computational times. To test our method, computational experiments were conducted using a set of randomly generated cases. The results suggest that our approach is useful and able to handle the random nature of the process for the school “Volcanes”. Additionally, we were able to quantify the impact that using a deterministic approach has on service levels for such systems. The novelty of the article lies in the proposed method and its application to a rural school with a low-budget system.

Suggested Citation

  • Maria Acuna & Carlos Silva & Andrés Tocaruncho & Diana Vargas & Diego Patiño & David Barrera & Johan Peña, 2021. "Operational Planning of Energy for Non-Interconnected Zones: A Simulation-Optimization Approach and a Case Study to Tackle Energy Poverty in Colombia," Energies, MDPI, vol. 14(10), pages 1-16, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:10:p:2789-:d:553393
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/10/2789/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/10/2789/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Arango, Santiago, 2007. "Simulation of alternative regulations in the Colombian electricity market," Socio-Economic Planning Sciences, Elsevier, vol. 41(4), pages 305-319, December.
    2. Zhou, Wei & Lou, Chengzhi & Li, Zhongshi & Lu, Lin & Yang, Hongxing, 2010. "Current status of research on optimum sizing of stand-alone hybrid solar-wind power generation systems," Applied Energy, Elsevier, vol. 87(2), pages 380-389, February.
    3. Abdul-Salam, Yakubu & Phimister, Euan, 2016. "How effective are heuristic solutions for electricity planning in developing countries," Socio-Economic Planning Sciences, Elsevier, vol. 55(C), pages 14-24.
    4. Pezzini, Paola & Gomis-Bellmunt, Oriol & Sudrià-Andreu, Antoni, 2011. "Optimization techniques to improve energy efficiency in power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 2028-2041, May.
    5. Yekini Suberu, Mohammed & Wazir Mustafa, Mohd & Bashir, Nouruddeen, 2014. "Energy storage systems for renewable energy power sector integration and mitigation of intermittency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 499-514.
    6. Baños, R. & Manzano-Agugliaro, F. & Montoya, F.G. & Gil, C. & Alcayde, A. & Gómez, J., 2011. "Optimization methods applied to renewable and sustainable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1753-1766, May.
    7. Zeren, Feyyaz & Akkuş, Hilmi Tunahan, 2020. "The relationship between renewable energy consumption and trade openness: New evidence from emerging economies," Renewable Energy, Elsevier, vol. 147(P1), pages 322-329.
    8. Ashok, S., 2007. "Optimised model for community-based hybrid energy system," Renewable Energy, Elsevier, vol. 32(7), pages 1155-1164.
    9. Ferrara, Maria & Rolfo, Andrea & Prunotto, Federico & Fabrizio, Enrico, 2019. "EDeSSOpt – Energy Demand and Supply Simultaneous Optimization for cost-optimized design: Application to a multi-family building," Applied Energy, Elsevier, vol. 236(C), pages 1231-1248.
    10. Jeon, Chanwoong & Shin, Juneseuk, 2014. "Long-term renewable energy technology valuation using system dynamics and Monte Carlo simulation: Photovoltaic technology case," Energy, Elsevier, vol. 66(C), pages 447-457.
    11. Ali Sadollah & Mohammad Nasir & Zong Woo Geem, 2020. "Sustainability and Optimization: From Conceptual Fundamentals to Applications," Sustainability, MDPI, vol. 12(5), pages 1-34, March.
    12. Roberts, Justo José & Marotta Cassula, Agnelo & Silveira, José Luz & da Costa Bortoni, Edson & Mendiburu, Andrés Z., 2018. "Robust multi-objective optimization of a renewable based hybrid power system," Applied Energy, Elsevier, vol. 223(C), pages 52-68.
    13. Cormio, C. & Dicorato, M. & Minoia, A. & Trovato, M., 2003. "A regional energy planning methodology including renewable energy sources and environmental constraints," Renewable and Sustainable Energy Reviews, Elsevier, vol. 7(2), pages 99-130, April.
    14. Andrea Micangeli & Davide Fioriti & Paolo Cherubini & Pablo Duenas-Martinez, 2020. "Optimal Design of Isolated Mini-Grids with Deterministic Methods: Matching Predictive Operating Strategies with Low Computational Requirements," Energies, MDPI, vol. 13(16), pages 1-19, August.
    15. Piotr F. Borowski, 2020. "Zonal and Nodal Models of Energy Market in European Union," Energies, MDPI, vol. 13(16), pages 1-21, August.
    16. Giulia Caruso & Emiliano Colantonio & Stefano Antonio Gattone, 2020. "Relationships between Renewable Energy Consumption, Social Factors, and Health: A Panel Vector Auto Regression Analysis of a Cluster of 12 EU Countries," Sustainability, MDPI, vol. 12(7), pages 1-16, April.
    17. Zeng, X.T. & Zhang, J.L. & Yu, L. & Zhu, J.X. & Li, Z. & Tang, L., 2019. "A sustainable water-food-energy plan to confront climatic and socioeconomic changes using simulation-optimization approach," Applied Energy, Elsevier, vol. 236(C), pages 743-759.
    18. Ezbakhe, Fatine & Pérez-Foguet, Agustí, 2021. "Decision analysis for sustainable development: The case of renewable energy planning under uncertainty," European Journal of Operational Research, Elsevier, vol. 291(2), pages 601-613.
    19. Ellabban, Omar & Abu-Rub, Haitham & Blaabjerg, Frede, 2014. "Renewable energy resources: Current status, future prospects and their enabling technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 748-764.
    20. Azcárate, Cristina & Mallor, Fermín & Mateo, Pedro, 2017. "Tactical and operational management of wind energy systems with storage using a probabilistic forecast of the energy resource," Renewable Energy, Elsevier, vol. 102(PB), pages 445-456.
    21. Abdellatif Elmouatamid & Radouane Ouladsine & Mohamed Bakhouya & Najib El Kamoun & Mohammed Khaidar & Khalid Zine-Dine, 2020. "Review of Control and Energy Management Approaches in Micro-Grid Systems," Energies, MDPI, vol. 14(1), pages 1-30, December.
    22. Juan, Angel A. & Faulin, Javier & Grasman, Scott E. & Rabe, Markus & Figueira, Gonçalo, 2015. "A review of simheuristics: Extending metaheuristics to deal with stochastic combinatorial optimization problems," Operations Research Perspectives, Elsevier, vol. 2(C), pages 62-72.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Layon Mescolin de Oliveira & Ivo Chaves da Silva Junior & Ramon Abritta, 2022. "Search Space Reduction for the Thermal Unit Commitment Problem through a Relevance Matrix," Energies, MDPI, vol. 15(19), pages 1-16, September.
    2. George E. Halkos & Panagiotis-Stavros C. Aslanidis, 2023. "Addressing Multidimensional Energy Poverty Implications on Achieving Sustainable Development," Energies, MDPI, vol. 16(9), pages 1-30, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Siddaiah, Rajanna & Saini, R.P., 2016. "A review on planning, configurations, modeling and optimization techniques of hybrid renewable energy systems for off grid applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 376-396.
    2. Lisicki, Michal & Lubitz, William & Taylor, Graham W., 2016. "Optimal design and operation of Archimedes screw turbines using Bayesian optimization," Applied Energy, Elsevier, vol. 183(C), pages 1404-1417.
    3. Jha, Sunil Kr. & Bilalovic, Jasmin & Jha, Anju & Patel, Nilesh & Zhang, Han, 2017. "Renewable energy: Present research and future scope of Artificial Intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 297-317.
    4. Pablo Benalcazar & Adam Suski & Jacek Kamiński, 2020. "Optimal Sizing and Scheduling of Hybrid Energy Systems: The Cases of Morona Santiago and the Galapagos Islands," Energies, MDPI, vol. 13(15), pages 1-20, August.
    5. Bruno Domenech & Laia Ferrer‐Martí & Rafael Pastor, 2019. "Comparison of various approaches to design wind‐PV rural electrification projects in remote areas of developing countries," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(3), May.
    6. Arnette, Andrew & Zobel, Christopher W., 2012. "An optimization model for regional renewable energy development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4606-4615.
    7. Domenech, B. & Ferrer-Martí, L. & Pastor, R., 2015. "Hierarchical methodology to optimize the design of stand-alone electrification systems for rural communities considering technical and social criteria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 182-196.
    8. Fathima, A. Hina & Palanisamy, K., 2015. "Optimization in microgrids with hybrid energy systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 431-446.
    9. Kamjoo, Azadeh & Maheri, Alireza & Putrus, Ghanim A., 2014. "Chance constrained programming using non-Gaussian joint distribution function in design of standalone hybrid renewable energy systems," Energy, Elsevier, vol. 66(C), pages 677-688.
    10. Segurado, R. & Madeira, J.F.A. & Costa, M. & Duić, N. & Carvalho, M.G., 2016. "Optimization of a wind powered desalination and pumped hydro storage system," Applied Energy, Elsevier, vol. 177(C), pages 487-499.
    11. Akhlaque Ahmad Khan & Ahmad Faiz Minai & Rupendra Kumar Pachauri & Hasmat Malik, 2022. "Optimal Sizing, Control, and Management Strategies for Hybrid Renewable Energy Systems: A Comprehensive Review," Energies, MDPI, vol. 15(17), pages 1-29, August.
    12. Suberu, Mohammed Yekini & Mustafa, Mohd Wazir & Bashir, Nouruddeen & Muhamad, Nor Asiah & Mokhtar, Ahmad Safawi, 2013. "Power sector renewable energy integration for expanding access to electricity in sub-Saharan Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 630-642.
    13. Mudasser, Muhammad & Yiridoe, Emmanuel K. & Corscadden, Kenneth, 2015. "Cost-benefit analysis of grid-connected wind–biogas hybrid energy production, by turbine capacity and site," Renewable Energy, Elsevier, vol. 80(C), pages 573-582.
    14. Farihan Mohamad & Jiashen Teh & Ching-Ming Lai & Liang-Rui Chen, 2018. "Development of Energy Storage Systems for Power Network Reliability: A Review," Energies, MDPI, vol. 11(9), pages 1-19, August.
    15. Ahn, Joongha & Woo, JongRoul & Lee, Jongsu, 2015. "Optimal allocation of energy sources for sustainable development in South Korea: Focus on the electric power generation industry," Energy Policy, Elsevier, vol. 78(C), pages 78-90.
    16. Mahbub, Md Shahriar & Cozzini, Marco & Østergaard, Poul Alberg & Alberti, Fabrizio, 2016. "Combining multi-objective evolutionary algorithms and descriptive analytical modelling in energy scenario design," Applied Energy, Elsevier, vol. 164(C), pages 140-151.
    17. Tezer, Tuba & Yaman, Ramazan & Yaman, Gülşen, 2017. "Evaluation of approaches used for optimization of stand-alone hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 840-853.
    18. David Severin Ryberg & Martin Robinius & Detlef Stolten, 2018. "Evaluating Land Eligibility Constraints of Renewable Energy Sources in Europe," Energies, MDPI, vol. 11(5), pages 1-19, May.
    19. Huang, Zishuo & Yu, Hang & Peng, Zhenwei & Zhao, Mei, 2015. "Methods and tools for community energy planning: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1335-1348.
    20. Jakub Jurasz & Jerzy Mikulik, 2017. "A strategy for the photovoltaic-powered pumped storage hydroelectricity," Energy & Environment, , vol. 28(5-6), pages 544-563, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:10:p:2789-:d:553393. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.