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Proposed model with weighted parameters for microgrid management: Incorporating diverse load profiles, assorted tariff policies, and energy storage devices

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  • Carvalho, Diego B.
  • Bortoni, Edson da C.

Abstract

This study presents an optimization-based model with weighted and adjustable parameters, incorporating both deterministic and stochastic variants to enable a smooth transition between control strategies for microgrid management. The motivation to conduct this study arises from an identified gap in the literature on microgrid management, especially as not many studies tackle non-scheduled loads under different energy market policies. Considering this factor, the research objective is to ascertain the technical and economic advantages that the proposed approach offers to a microgrid characterized by a load profile that undergoes significant variations based on the day of the week. A Model Predictive Control (MPC)-based control system is employed as the system manager, using key performance indicators to assess the model’s effectiveness. The control strategy, implemented at the reference signal generator level, is designed to minimize operational costs and curb the Energy Storage System (ESS) degradation. The results demonstrate that the deterministic variant of the proposed model provides a significant quantitative return for the microgrid, especially in more stable load profiles. Additionally, the deterministic variant is a method that allows elucidating a range of values for the weighted parameters of the proposed model, which will be used in the approach stochastic variant. Conversely, the stochastic variant stands out by offering more pronounced benefits to the microgrid in scenarios with abrupt load profiles. Both versions of the model under study exhibit remarkable performance compared to the benchmark models.

Suggested Citation

  • Carvalho, Diego B. & Bortoni, Edson da C., 2024. "Proposed model with weighted parameters for microgrid management: Incorporating diverse load profiles, assorted tariff policies, and energy storage devices," Energy, Elsevier, vol. 296(C).
    • Handle: RePEc:eee:energy:v:296:y:2024:i:c:s0360544224007485
    DOI: 10.1016/j.energy.2024.130976
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    as
    1. SeyedGarmroudi, SeyedDavoud & Kayakutlu, Gulgun & Kayalica, M. Ozgur & Çolak, Üner, 2024. "Improved Pelican optimization algorithm for solving load dispatch problems," Energy, Elsevier, vol. 289(C).
    2. Abu-Sharkh, S. & Arnold, R.J. & Kohler, J. & Li, R. & Markvart, T. & Ross, J.N. & Steemers, K. & Wilson, P. & Yao, R., 2006. "Can microgrids make a major contribution to UK energy supply?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(2), pages 78-127, April.
    3. Qiu, Rui & Zhang, Haoran & Wang, Guotao & Liang, Yongtu & Yan, Jinyue, 2023. "Green hydrogen-based energy storage service via power-to-gas technologies integrated with multi-energy microgrid," Applied Energy, Elsevier, vol. 350(C).
    4. Bicer, Yusuf & Sajid, Muhammad Usman & Al-Breiki, Mohammed, 2022. "Optimal spectra management for self-power producing greenhouses for hot arid climates," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    5. 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.
    6. Oviedo-Cepeda, J.C. & Serna-Suárez, Ivan & Osma-Pinto, German & Duarte, Cesar & Solano, Javier & Gabbar, Hossam A., 2020. "Design of tariff schemes as demand response mechanisms for stand-alone microgrids planning," Energy, Elsevier, vol. 211(C).
    7. Ouédraogo, S. & Faggianelli, G.A. & Notton, G. & Duchaud, J.L. & Voyant, C., 2022. "Impact of electricity tariffs and energy management strategies on PV/Battery microgrid performances," Renewable Energy, Elsevier, vol. 199(C), pages 816-825.
    8. Wang, Bin & Wang, Chaohui & Wang, Zhiyu & Ni, Siliang & Yang, Yixin & Tian, Pengyu, 2023. "Adaptive state of energy evaluation for supercapacitor in emergency power system of more-electric aircraft," Energy, Elsevier, vol. 263(PA).
    9. Abunima, Hamza & Park, Woan-Ho & Glick, Mark B. & Kim, Yun-Su, 2022. "Two-Stage stochastic optimization for operating a Renewable-Based Microgrid," Applied Energy, Elsevier, vol. 325(C).
    10. Fang, Xiaolun & Dong, Wei & Wang, Yubin & Yang, Qiang, 2022. "Multiple time-scale energy management strategy for a hydrogen-based multi-energy microgrid," Applied Energy, Elsevier, vol. 328(C).
    11. Marcelino, C.G. & Leite, G.M.C. & Wanner, E.F. & Jiménez-Fernández, S. & Salcedo-Sanz, S., 2023. "Evaluating the use of a Net-Metering mechanism in microgrids to reduce power generation costs with a swarm-intelligent algorithm," Energy, Elsevier, vol. 266(C).
    12. Tsao, Yu-Chung & Linh, Vu-Thuy, 2022. "A new three-part tariff pricing scheme for the electricity microgrid considering consumer regret," Energy, Elsevier, vol. 254(PC).
    13. Carvalho, Diego B. & Pinto, Bárbara L. & Guardia, Eduardo C. & Marangon Lima, José W., 2020. "Economic impact of anticipations or delays in the completion of power generation projects in the Brazilian energy market," Renewable Energy, Elsevier, vol. 147(P1), pages 1312-1320.
    14. Xiao, Renxin & Hu, Yanwen & Jia, Xianguang & Chen, Guisheng, 2022. "A novel estimation of state of charge for the lithium-ion battery in electric vehicle without open circuit voltage experiment," Energy, Elsevier, vol. 243(C).
    15. Milis, Kevin & Peremans, Herbert & Van Passel, Steven, 2018. "The impact of policy on microgrid economics: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 3111-3119.
    16. Renos Rotas & Maria Fotopoulou & Panagiotis Drosatos & Dimitrios Rakopoulos & Nikos Nikolopoulos, 2023. "Adaptive Dynamic Building Envelopes with Solar Power Components: Annual Performance Assessment for Two Pilot Sites," Energies, MDPI, vol. 16(5), pages 1-20, February.
    17. Chakraborty, Amit & Ray, Saheli, 2023. "Operational cost minimization of a microgrid with optimum battery energy storage system and plug-in-hybrid electric vehicle charging impact using slime mould algorithm," Energy, Elsevier, vol. 278(PA).
    18. Restrepo, Mauricio & Cañizares, Claudio A. & Simpson-Porco, John W. & Su, Peter & Taruc, John, 2021. "Optimization- and Rule-based Energy Management Systems at the Canadian Renewable Energy Laboratory microgrid facility," Applied Energy, Elsevier, vol. 290(C).
    19. Li, Da & Zhang, Lei & Zhang, Zhaosheng & Liu, Peng & Deng, Junjun & Wang, Qiushi & Wang, Zhenpo, 2023. "Battery safety issue detection in real-world electric vehicles by integrated modeling and voltage abnormality," Energy, Elsevier, vol. 284(C).
    20. Nawaz, Arshad & Wu, Jing & Ye, Jun & Dong, Yidi & Long, Chengnian, 2023. "Distributed MPC-based energy scheduling for islanded multi-microgrid considering battery degradation and cyclic life deterioration," Applied Energy, Elsevier, vol. 329(C).
    21. Ritter, Andreas & Widmer, Fabio & Duhr, Pol & Onder, Christopher H., 2022. "Long-term stochastic model predictive control for the energy management of hybrid electric vehicles using Pontryagin’s minimum principle and scenario-based optimization," Applied Energy, Elsevier, vol. 322(C).
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    2. Gao, Jinling & Maalla, Allam & Li, Xuetao & Zhou, Xiao & Lian, Kong, 2024. "Comprehensive model for efficient microgrid operation: Addressing uncertainties and economic considerations," Energy, Elsevier, vol. 306(C).

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