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A modified rule-based energy management scheme for optimal operation of a hybrid PV-wind-Stirling engine integrated multi-carrier energy system

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  • Udeh, Godfrey T.
  • Michailos, Stavros
  • Ingham, Derek
  • Hughes, Kevin J.
  • Ma, Lin
  • Pourkashanian, Mohamed

Abstract

In this study, rule-based energy management strategies (EMS) based on the modifications of the traditional load following (LF) and circuit charging (CC) have been proposed and developed to effectively coordinate the operation of an integrated multi-carrier hybrid energy system. The proposed EMS aim to overcome some of the challenges of the traditional rule-based EMS and broaden their application to the management of complex energy systems. The study deploys a bi-level optimisation scheme to obtain the optimal number of system components that simultaneously minimises the cost, reliability and emissions, in the outer-loop and implements the rule-based EMS in the inner-loop. Also, the results of the optimal system have been simulated for a 48 h timespan, to investigate the effects of the proposed EMS on the Stirling back-up start-ups, battery storage limits, and generation of other energy vectors. The results indicate the deployment of split back-up and batteries minimise the commitment of the back-up, dumped power and emissions. However, the number of start-ups of the back-up increases appreciably by 15.34% and 36%, with the deployment of 2-split and 4-split Stirling, respectively in CC with battery storage. Correspondingly, the operational cost of the system rises as the number of splits increases, but only a slight change in the energy cost is observed, because of the significant reductions in the capacity of the green generators. Interestingly, the batteries record many duty cycles, store less energy and attain lower discharge limits as many small capacity ST back-ups are deployed. Other results demonstrate the additional capabilities of the proposed EMS in handling complex energy systems by the substantial increase in the generation of heating and cooling with increasing splits of the back-up and inclusion of batteries in the optimal system.

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  • Udeh, Godfrey T. & Michailos, Stavros & Ingham, Derek & Hughes, Kevin J. & Ma, Lin & Pourkashanian, Mohamed, 2022. "A modified rule-based energy management scheme for optimal operation of a hybrid PV-wind-Stirling engine integrated multi-carrier energy system," Applied Energy, Elsevier, vol. 312(C).
  • Handle: RePEc:eee:appene:v:312:y:2022:i:c:s030626192200215x
    DOI: 10.1016/j.apenergy.2022.118763
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    as
    1. Lujano-Rojas, Juan M. & Dufo-López, Rodolfo & Atencio-Guerra, José L. & Rodrigues, Eduardo M.G. & Bernal-Agustín, José L. & Catalão, João P.S., 2016. "Operating conditions of lead-acid batteries in the optimization of hybrid energy systems and microgrids," Applied Energy, Elsevier, vol. 179(C), pages 590-600.
    2. Rullo, P. & Braccia, L. & Luppi, P. & Zumoffen, D. & Feroldi, D., 2019. "Integration of sizing and energy management based on economic predictive control for standalone hybrid renewable energy systems," Renewable Energy, Elsevier, vol. 140(C), pages 436-451.
    3. Li, Bei & Roche, Robin & Miraoui, Abdellatif, 2017. "Microgrid sizing with combined evolutionary algorithm and MILP unit commitment," Applied Energy, Elsevier, vol. 188(C), pages 547-562.
    4. Gupta, Ajai & Saini, R.P. & Sharma, M.P., 2011. "Modelling of hybrid energy system—Part I: Problem formulation and model development," Renewable Energy, Elsevier, vol. 36(2), pages 459-465.
    5. Gupta, Ajai & Saini, R.P. & Sharma, M.P., 2011. "Modelling of hybrid energy system—Part II: Combined dispatch strategies and solution algorithm," Renewable Energy, Elsevier, vol. 36(2), pages 466-473.
    6. Azaza, Maher & Wallin, Fredrik, 2017. "Multi objective particle swarm optimization of hybrid micro-grid system: A case study in Sweden," Energy, Elsevier, vol. 123(C), pages 108-118.
    7. Lujano-Rojas, Juan M. & Dufo-López, Rodolfo & Bernal-Agustín, José L., 2012. "Optimal sizing of small wind/battery systems considering the DC bus voltage stability effect on energy capture, wind speed variability, and load uncertainty," Applied Energy, Elsevier, vol. 93(C), pages 404-412.
    8. Ramli, Makbul A.M. & Bouchekara, H.R.E.H. & Alghamdi, Abdulsalam S., 2018. "Optimal sizing of PV/wind/diesel hybrid microgrid system using multi-objective self-adaptive differential evolution algorithm," Renewable Energy, Elsevier, vol. 121(C), pages 400-411.
    9. Ogunjuyigbe, A.S.O. & Ayodele, T.R. & Akinola, O.A., 2016. "Optimal allocation and sizing of PV/Wind/Split-diesel/Battery hybrid energy system for minimizing life cycle cost, carbon emission and dump energy of remote residential building," Applied Energy, Elsevier, vol. 171(C), pages 153-171.
    10. Bhatti, Abdul Rauf & Salam, Zainal, 2018. "A rule-based energy management scheme for uninterrupted electric vehicles charging at constant price using photovoltaic-grid system," Renewable Energy, Elsevier, vol. 125(C), pages 384-400.
    11. Moradi, Hadis & Esfahanian, Mahdi & Abtahi, Amir & Zilouchian, Ali, 2018. "Optimization and energy management of a standalone hybrid microgrid in the presence of battery storage system," Energy, Elsevier, vol. 147(C), pages 226-238.
    12. Das, Barun K. & Al-Abdeli, Yasir M. & Kothapalli, Ganesh, 2017. "Optimisation of stand-alone hybrid energy systems supplemented by combustion-based prime movers," Applied Energy, Elsevier, vol. 196(C), pages 18-33.
    13. Bracco, Stefano & Delfino, Federico & Pampararo, Fabio & Robba, Michela & Rossi, Mansueto, 2014. "A mathematical model for the optimal operation of the University of Genoa Smart Polygeneration Microgrid: Evaluation of technical, economic and environmental performance indicators," Energy, Elsevier, vol. 64(C), pages 912-922.
    14. Forough, Atefeh Behzadi & Roshandel, Ramin, 2018. "Lifetime optimization framework for a hybrid renewable energy system based on receding horizon optimization," Energy, Elsevier, vol. 150(C), pages 617-630.
    15. Olatomiwa, Lanre & Mekhilef, Saad & Ismail, M.S. & Moghavvemi, M., 2016. "Energy management strategies in hybrid renewable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 821-835.
    16. Cozzolino, R. & Tribioli, L. & Bella, G., 2016. "Power management of a hybrid renewable system for artificial islands: A case study," Energy, Elsevier, vol. 106(C), pages 774-789.
    17. Quoilin, Sylvain & Broek, Martijn Van Den & Declaye, Sébastien & Dewallef, Pierre & Lemort, Vincent, 2013. "Techno-economic survey of Organic Rankine Cycle (ORC) systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 168-186.
    18. Mazzola, Simone & Astolfi, Marco & Macchi, Ennio, 2015. "A detailed model for the optimal management of a multigood microgrid," Applied Energy, Elsevier, vol. 154(C), pages 862-873.
    19. Dufo-López, Rodolfo & Bernal-Agustín, José L. & Yusta-Loyo, José M. & Domínguez-Navarro, José A. & Ramírez-Rosado, Ignacio J. & Lujano, Juan & Aso, Ismael, 2011. "Multi-objective optimization minimizing cost and life cycle emissions of stand-alone PV–wind–diesel systems with batteries storage," Applied Energy, Elsevier, vol. 88(11), pages 4033-4041.
    20. Das, Barun K. & Zaman, Forhad, 2019. "Performance analysis of a PV/Diesel hybrid system for a remote area in Bangladesh: Effects of dispatch strategies, batteries, and generator selection," Energy, Elsevier, vol. 169(C), pages 263-276.
    21. Jiaxin Lu & Weijun Wang & Yingchao Zhang & Song Cheng, 2017. "Multi-Objective Optimal Design of Stand-Alone Hybrid Energy System Using Entropy Weight Method Based on HOMER," Energies, MDPI, vol. 10(10), pages 1-17, October.
    22. Srikhirin, Pongsid & Aphornratana, Satha & Chungpaibulpatana, Supachart, 2001. "A review of absorption refrigeration technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 5(4), pages 343-372, December.
    23. Somers, C. & Mortazavi, A. & Hwang, Y. & Radermacher, R. & Rodgers, P. & Al-Hashimi, S., 2011. "Modeling water/lithium bromide absorption chillers in ASPEN Plus," Applied Energy, Elsevier, vol. 88(11), pages 4197-4205.
    24. Dufo-López, Rodolfo & Cristóbal-Monreal, Iván R. & Yusta, José M., 2016. "Optimisation of PV-wind-diesel-battery stand-alone systems to minimise cost and maximise human development index and job creation," Renewable Energy, Elsevier, vol. 94(C), pages 280-293.
    25. Dufo-López, Rodolfo & Lujano-Rojas, Juan M. & Bernal-Agustín, José L., 2014. "Comparison of different lead–acid battery lifetime prediction models for use in simulation of stand-alone photovoltaic systems," Applied Energy, Elsevier, vol. 115(C), pages 242-253.
    26. Silvente, Javier & Papageorgiou, Lazaros G., 2017. "An MILP formulation for the optimal management of microgrids with task interruptions," Applied Energy, Elsevier, vol. 206(C), pages 1131-1146.
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