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An optimization study on a typical renewable microgrid energy system with energy storage

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  • Graça Gomes, J.
  • Xu, H.J.
  • Yang, Q.
  • Zhao, C.Y.

Abstract

In isolated microgrids and remote regions, the challenge of developing reliable and self-sufficient renewable energy systems is amplified due to the lack of grid flexibility options. One of the leading solutions to increase renewable energy usage in isolated systems is the commission of energy storage. The current study proposes a novel optimization model that sizes the most cost-efficient renewable power capacity mix of an autonomous microgrid supported by storage technologies. The proposed algorithm considers operational, technical and land-use constraints. The problem is formulated using linear programming, is tested and scrutinized with sets of historical weather, load demand and installation prices data, and is modelled hour-by-hour. The method is applied to Corvo, an island in the Azores archipelago, Portugal. The results obtained exhibit that the proposed approach provides the optimal configuration of the renewable-based microgrid with an LCOE (Levelized Cost of electricity) of 0.21 €/kWh, a value lower than a diesel-based alternative, and while ensuring minimum land area occupation. Furthermore, sensitivity analysis is also presented to examine the effect of variables on the LCOE and PC (present cost) of the system. The present study shows that the developed optimal sizing model can improve electricity planning and facilitate energy transition in distributed power systems.

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  • Graça Gomes, J. & Xu, H.J. & Yang, Q. & Zhao, C.Y., 2021. "An optimization study on a typical renewable microgrid energy system with energy storage," Energy, Elsevier, vol. 234(C).
    • Handle: RePEc:eee:energy:v:234:y:2021:i:c:s0360544221014584
    DOI: 10.1016/j.energy.2021.121210
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    1. Feng, Wei & Jin, Ming & Liu, Xu & Bao, Yi & Marnay, Chris & Yao, Cheng & Yu, Jiancheng, 2018. "A review of microgrid development in the United States – A decade of progress on policies, demonstrations, controls, and software tools," Applied Energy, Elsevier, vol. 228(C), pages 1656-1668.
    2. Fodhil, F. & Hamidat, A. & Nadjemi, O., 2019. "Potential, optimization and sensitivity analysis of photovoltaic-diesel-battery hybrid energy system for rural electrification in Algeria," Energy, Elsevier, vol. 169(C), pages 613-624.
    3. Shakoor, Rabia & Hassan, Mohammad Yusri & Raheem, Abdur & Rasheed, Nadia, 2016. "Wind farm layout optimization using area dimensions and definite point selection techniques," Renewable Energy, Elsevier, vol. 88(C), pages 154-163.
    4. Graça Gomes, João & Medeiros Pinto, José & Xu, Huijin & Zhao, Changying & Hashim, Haslenda, 2020. "Modeling and planning of the electricity energy system with a high share of renewable supply for Portugal," Energy, Elsevier, vol. 211(C).
    5. Bullich-Massagué, Eduard & Cifuentes-García, Francisco-Javier & Glenny-Crende, Ignacio & Cheah-Mañé, Marc & Aragüés-Peñalba, Mònica & Díaz-González, Francisco & Gomis-Bellmunt, Oriol, 2020. "A review of energy storage technologies for large scale photovoltaic power plants," Applied Energy, Elsevier, vol. 274(C).
    6. Maryam Arbabzadeh & Ramteen Sioshansi & Jeremiah X. Johnson & Gregory A. Keoleian, 2019. "Author Correction: The role of energy storage in deep decarbonization of electricity production," Nature Communications, Nature, vol. 10(1), pages 1-1, December.
    7. Wang, Kejun & Qi, Xiaoxia & Liu, Hongda, 2019. "A comparison of day-ahead photovoltaic power forecasting models based on deep learning neural network," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    8. Neves, Diana & Silva, Carlos A., 2014. "Modeling the impact of integrating solar thermal systems and heat pumps for domestic hot water in electric systems – The case study of Corvo Island," Renewable Energy, Elsevier, vol. 72(C), pages 113-124.
    9. Li, Zhengmao & Xu, Yan, 2018. "Optimal coordinated energy dispatch of a multi-energy microgrid in grid-connected and islanded modes," Applied Energy, Elsevier, vol. 210(C), pages 974-986.
    10. Schramm, Michael P. & Bevelhimer, Mark S. & DeRolph, Chris R., 2016. "A synthesis of environmental and recreational mitigation requirements at hydropower projects in the United States," Environmental Science & Policy, Elsevier, vol. 61(C), pages 87-96.
    11. Li, Chong & Ge, Xinfeng & Zheng, Yuan & Xu, Chang & Ren, Yan & Song, Chenguang & Yang, Chunxia, 2013. "Techno-economic feasibility study of autonomous hybrid wind/PV/battery power system for a household in Urumqi, China," Energy, Elsevier, vol. 55(C), pages 263-272.
    12. Jessica Jewell & Vadim Vinichenko & Lola Nacke & Aleh Cherp, 2019. "Prospects for powering past coal," Nature Climate Change, Nature, vol. 9(8), pages 592-597, August.
    13. Wang, Luhao & Li, Qiqiang & Ding, Ran & Sun, Mingshun & Wang, Guirong, 2017. "Integrated scheduling of energy supply and demand in microgrids under uncertainty: A robust multi-objective optimization approach," Energy, Elsevier, vol. 130(C), pages 1-14.
    14. Hansen, Kenneth & Breyer, Christian & Lund, Henrik, 2019. "Status and perspectives on 100% renewable energy systems," Energy, Elsevier, vol. 175(C), pages 471-480.
    15. Fekri, Mohammad Navid & Patel, Harsh & Grolinger, Katarina & Sharma, Vinay, 2021. "Deep learning for load forecasting with smart meter data: Online Adaptive Recurrent Neural Network," Applied Energy, Elsevier, vol. 282(PA).
    16. Maryam Arbabzadeh & Ramteen Sioshansi & Jeremiah X. Johnson & Gregory A. Keoleian, 2019. "The role of energy storage in deep decarbonization of electricity production," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
    17. Costa-Campi, Maria Teresa & Daví-Arderius, Daniel & Trujillo-Baute, Elisa, 2018. "The economic impact of electricity losses," Energy Economics, Elsevier, vol. 75(C), pages 309-322.
    18. Barbaro, Marco & Castro, Rui, 2020. "Design optimisation for a hybrid renewable microgrid: Application to the case of Faial island, Azores archipelago," Renewable Energy, Elsevier, vol. 151(C), pages 434-445.
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    7. Zandrazavi, Seyed Farhad & Guzman, Cindy Paola & Pozos, Alejandra Tabares & Quiros-Tortos, Jairo & Franco, John Fredy, 2022. "Stochastic multi-objective optimal energy management of grid-connected unbalanced microgrids with renewable energy generation and plug-in electric vehicles," Energy, Elsevier, vol. 241(C).
    8. Qian Zhang & Lisheng Wei & Benben Yang, 2022. "Research on Improved BBO Algorithm and Its Application in Optimal Scheduling of Micro-Grid," Mathematics, MDPI, vol. 10(16), pages 1-18, August.
    9. Shen, Xiaojun & Li, Xingyi & Yuan, Jiahai & Jin, Yu, 2022. "A hydrogen-based zero-carbon microgrid demonstration in renewable-rich remote areas: System design and economic feasibility," Applied Energy, Elsevier, vol. 326(C).
    10. Jann Michael Weinand & Maximilian Hoffmann & Jan Gopfert & Tom Terlouw & Julian Schonau & Patrick Kuckertz & Russell McKenna & Leander Kotzur & Jochen Lin{ss}en & Detlef Stolten, 2022. "Global LCOEs of decentralized off-grid renewable energy systems," Papers 2212.12742, arXiv.org, revised Mar 2023.
    11. Chen, Maozhi & Lu, Hao & Chang, Xiqiang & Liao, Haiyan, 2023. "An optimization on an integrated energy system of combined heat and power, carbon capture system and power to gas by considering flexible load," Energy, Elsevier, vol. 273(C).
    12. Frković, Lovro & Ćosić, Boris & Pukšec, Tomislav & Vladimir, Nikola, 2022. "The synergy between the photovoltaic power systems and battery-powered electric ferries in the isolated energy system of an island," Energy, Elsevier, vol. 259(C).
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