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Optimal sizing and design of renewable power plants in rural microgrids using multi-objective particle swarm optimization and branch and bound methods

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  • Roldán-Blay, Carlos
  • Escrivá-Escrivá, Guillermo
  • Roldán-Porta, Carlos
  • Dasí-Crespo, Daniel

Abstract

As energy prices rise, optimizing renewable power plant sizing is vital, especially in areas with unreliable electricity supply due to distant transmission lines. This study addresses this issue by optimizing a renewable power plant portfolio for a Spanish municipality facing such challenges. The presented approach involves a systematic method. Firstly, energy demand is thoroughly analyzed. Next, available renewable resources are explored and optimal plant placements are determined. A multi-objective particle swarm optimization algorithm is then used to size each plant, minimizing annualized costs and grid energy imports. The most suitable feasible optimum is selected from theoretical configurations using branch and bound techniques, prioritizing practicality. In the specific case analyzed, the results show a 20-year Internal Rate of Return of 8.33 %. This is achieved with the following capacities for each plant: 750 kW of photovoltaic solar energy, 160 kW of turbine-based generation, 180 kW of hydroelectric pumping, 160 kW for the biomass plant, and 200 kW from the wind turbine. This study offers an innovative solution to energy challenges, providing practical insights for cost-efficient, sustainable projects.

Suggested Citation

  • Roldán-Blay, Carlos & Escrivá-Escrivá, Guillermo & Roldán-Porta, Carlos & Dasí-Crespo, Daniel, 2023. "Optimal sizing and design of renewable power plants in rural microgrids using multi-objective particle swarm optimization and branch and bound methods," Energy, Elsevier, vol. 284(C).
    • Handle: RePEc:eee:energy:v:284:y:2023:i:c:s0360544223027123
    DOI: 10.1016/j.energy.2023.129318
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    1. Borhanazad, Hanieh & Mekhilef, Saad & Gounder Ganapathy, Velappa & Modiri-Delshad, Mostafa & Mirtaheri, Ali, 2014. "Optimization of micro-grid system using MOPSO," Renewable Energy, Elsevier, vol. 71(C), pages 295-306.
    2. Liu, Jizhen & Ma, Lifei & Wang, Qinghua, 2023. "Energy management method of integrated energy system based on collaborative optimization of distributed flexible resources," Energy, Elsevier, vol. 264(C).
    3. Song, Xiaoling & Zhang, Huqing & Fan, Lurong & Zhang, Zhe & Peña-Mora, Feniosky, 2023. "Planning shared energy storage systems for the spatio-temporal coordination of multi-site renewable energy sources on the power generation side," Energy, Elsevier, vol. 282(C).
    4. Chang, Jinwei & Li, Zhi & Huang, Yan & Yu, Xiaonan & Jiang, Ruicheng & Huang, Rui & Yu, Xiaoli, 2022. "Multi-objective optimization of a novel combined cooling, dehumidification and power system using improved M-PSO algorithm," Energy, Elsevier, vol. 239(PE).
    5. Copp, David A. & Nguyen, Tu A. & Byrne, Raymond H. & Chalamala, Babu R., 2022. "Optimal sizing of distributed energy resources for planning 100% renewable electric power systems," Energy, Elsevier, vol. 239(PE).
    6. Tang, Hong & Wang, Shengwei & Li, Hangxin, 2021. "Flexibility categorization, sources, capabilities and technologies for energy-flexible and grid-responsive buildings: State-of-the-art and future perspective," Energy, Elsevier, vol. 219(C).
    7. Kanakadhurga, Dharmaraj & Prabaharan, Natarajan, 2022. "Demand side management in microgrid: A critical review of key issues and recent trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    8. Ghandehariun, Samane & Ghandehariun, Amir M. & Ziabari, Nima Bahrami, 2023. "Performance prediction and optimization of a hybrid renewable-energy-based multigeneration system using machine learning," Energy, Elsevier, vol. 282(C).
    9. Chaduvula, Hemanth & Das, Debapriya, 2023. "Analysis of microgrid configuration with optimal power injection from grid using point estimate method embedded fuzzy-particle swarm optimization," Energy, Elsevier, vol. 282(C).
    10. Armendáriz, M. & Heleno, M. & Cardoso, G. & Mashayekh, S. & Stadler, M. & Nordström, L., 2017. "Coordinated microgrid investment and planning process considering the system operator," Applied Energy, Elsevier, vol. 200(C), pages 132-140.
    11. Wang, Yijian & Cui, Yang & Li, Yang & Xu, Yang, 2023. "Collaborative optimization of multi-microgrids system with shared energy storage based on multi-agent stochastic game and reinforcement learning," Energy, Elsevier, vol. 280(C).
    12. Sousa, Jorge & Lagarto, João & Camus, Cristina & Viveiros, Carla & Barata, Filipe & Silva, Pedro & Alegria, Ricardo & Paraíba, Orlando, 2023. "Renewable energy communities optimal design supported by an optimization model for investment in PV/wind capacity and renewable electricity sharing," Energy, Elsevier, vol. 283(C).
    13. Auguadra, Marco & Ribó-Pérez, David & Gómez-Navarro, Tomás, 2023. "Planning the deployment of energy storage systems to integrate high shares of renewables: The Spain case study," Energy, Elsevier, vol. 264(C).
    14. Naz, Muhammad Naveed & Mushtaq, Muhammad Irfan & Naeem, Muhammad & Iqbal, Muhammad & Altaf, Muhammad Waseem & Haneef, Muhammad, 2017. "Multicriteria decision making for resource management in renewable energy assisted microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 323-341.
    15. Li, Rong & Guo, Su & Yang, Yong & Liu, Deyou, 2020. "Optimal sizing of wind/ concentrated solar plant/ electric heater hybrid renewable energy system based on two-stage stochastic programming," Energy, Elsevier, vol. 209(C).
    16. Ribó-Pérez, David & Bastida-Molina, Paula & Gómez-Navarro, Tomás & Hurtado-Pérez, Elías, 2020. "Hybrid assessment for a hybrid microgrid: A novel methodology to critically analyse generation technologies for hybrid microgrids," Renewable Energy, Elsevier, vol. 157(C), pages 874-887.
    17. Xie, Rui & Wei, Wei & Li, Mingxuan & Dong, ZhaoYang & Mei, Shengwei, 2023. "Sizing capacities of renewable generation, transmission, and energy storage for low-carbon power systems: A distributionally robust optimization approach," Energy, Elsevier, vol. 263(PA).
    18. Obara, Shin'ya & Sato, Katsuaki & Utsugi, Yuta, 2018. "Study on the operation optimization of an isolated island microgrid with renewable energy layout planning," Energy, Elsevier, vol. 161(C), pages 1211-1225.
    19. Singh, Vineet Kumar & Singal, S.K., 2017. "Operation of hydro power plants-a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 610-619.
    20. Gunkel, Philipp Andreas & Bergaentzlé, Claire & Græsted Jensen, Ida & Scheller, Fabian, 2020. "From passive to active: Flexibility from electric vehicles in the context of transmission system development," Applied Energy, Elsevier, vol. 277(C).
    21. Wu, Kunming & Li, Qiang & Chen, Ziyu & Lin, Jiayang & Yi, Yongli & Chen, Minyou, 2021. "Distributed optimization method with weighted gradients for economic dispatch problem of multi-microgrid systems," Energy, Elsevier, vol. 222(C).
    22. Szinai, Julia K. & Sheppard, Colin J.R. & Abhyankar, Nikit & Gopal, Anand R., 2020. "Reduced grid operating costs and renewable energy curtailment with electric vehicle charge management," Energy Policy, Elsevier, vol. 136(C).
    23. Omar Hazem Mohammed & Mohammed Kharrich, 2021. "An Overview of the Performance of PSO Algorithm in Renewable Energy Systems," International Series in Operations Research & Management Science, in: Burcu Adıgüzel Mercangöz (ed.), Applying Particle Swarm Optimization, edition 1, chapter 0, pages 307-320, Springer.
    24. Philipp Andreas Gunkel & Claire Bergaentzl'e & Ida Gr{ae}sted Jensen & Fabian Scheller, 2020. "From passive to active: Flexibility from electric vehicles in the context of transmission system development," Papers 2011.05830, arXiv.org.
    25. Shahbazbegian, Vahid & Dehghani, Farnam & Shafiyi, Mohammad Agha & Shafie-khah, Miadreza & Laaksonen, Hannu & Ameli, Hossein, 2023. "Techno-economic assessment of energy storage systems in multi-energy microgrids utilizing decomposition methodology," Energy, Elsevier, vol. 283(C).
    26. Norouzi, Farshid & Hoppe, Thomas & Elizondo, Laura Ramirez & Bauer, Pavol, 2022. "A review of socio-technical barriers to Smart Microgrid development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
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