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Design and CHIL testing of microgrid controller with general rule-based dispatch

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  • Sun, Chu
  • Ali, Syed Qaseem
  • Joos, Geza
  • Paquin, Jean-Nicolas
  • Montenegro, Juan Felipe Patarroyo

Abstract

Energy Management for microgrids with various compositions and sizes is challenging for conventional optimization-based approach which requires complex problem formulation and high computing power. A microgrid controller with general rule-based dispatch adaptive to different microgrid compositions and operating modes is presented in this article. Several basic dispatch rules are designed with objectives of balancing the total power, tracking grid power import/export reference, mitigating renewable generation fluctuation and reducing energy storage losses. Mathematical formulation and graphical solutions for rules design are described. The basic rules are then combined to form generalized dispatch strategies capable of operating in different scenarios. Four types of dispatch strategies and their variants in terms of dispatchable generator control are introduced. Recommendation of the dispatch types for different microgrid configurations and the adaptivity to microgrid composition variation are also given. The microgrid controller is validated with comprehensive testing and comparative study under various operating points and modes on a controller hardware-in-the-loop (CHIL) testbed.

Suggested Citation

  • Sun, Chu & Ali, Syed Qaseem & Joos, Geza & Paquin, Jean-Nicolas & Montenegro, Juan Felipe Patarroyo, 2023. "Design and CHIL testing of microgrid controller with general rule-based dispatch," Applied Energy, Elsevier, vol. 345(C).
    • Handle: RePEc:eee:appene:v:345:y:2023:i:c:s0306261923006773
    DOI: 10.1016/j.apenergy.2023.121313
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    1. Ahmad Khan, Aftab & Naeem, Muhammad & Iqbal, Muhammad & Qaisar, Saad & Anpalagan, Alagan, 2016. "A compendium of optimization objectives, constraints, tools and algorithms for energy management in microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1664-1683.
    2. Mohammed Alruwaili & Liana Cipcigan, 2022. "Optimal Annual Operational Cost of a Hybrid Renewable-Based Microgrid to Increase the Power Resilience of a Critical Facility," Energies, MDPI, vol. 15(21), pages 1-23, October.
    3. Almada, J.B. & Leão, R.P.S. & Sampaio, R.F. & Barroso, G.C., 2016. "A centralized and heuristic approach for energy management of an AC microgrid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1396-1404.
    4. Huo, Yuchong & Bouffard, François & Joós, Géza, 2021. "Decision tree-based optimization for flexibility management for sustainable energy microgrids," Applied Energy, Elsevier, vol. 290(C).
    5. Lee, J. & Razeghi, G. & Samuelsen, S., 2022. "Generic microgrid controller with self-healing capabilities," Applied Energy, Elsevier, vol. 308(C).
    6. Zhao, Bo & Zhang, Xuesong & Li, Peng & Wang, Ke & Xue, Meidong & Wang, Caisheng, 2014. "Optimal sizing, operating strategy and operational experience of a stand-alone microgrid on Dongfushan Island," Applied Energy, Elsevier, vol. 113(C), pages 1656-1666.
    7. 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.
    8. Kusakana, Kanzumba, 2015. "Operation cost minimization of photovoltaic–diesel–battery hybrid systems," Energy, Elsevier, vol. 85(C), pages 645-653.
    9. Razeghi, Ghazal & Gu, Fei & Neal, Russell & Samuelsen, Scott, 2018. "A generic microgrid controller: Concept, testing, and insights," Applied Energy, Elsevier, vol. 229(C), pages 660-671.
    10. 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).
    11. Zia, Muhammad Fahad & Elbouchikhi, Elhoussin & Benbouzid, Mohamed, 2018. "Microgrids energy management systems: A critical review on methods, solutions, and prospects," Applied Energy, Elsevier, vol. 222(C), pages 1033-1055.
    12. Dutton, Spencer & Marnay, Chris & Feng, Wei & Robinson, Matthew & Mammoli, Andrea, 2019. "Moore vs. Murphy: Tradeoffs between complexity and reliability in distributed energy system scheduling using software-as-a-service," Applied Energy, Elsevier, vol. 238(C), pages 1126-1137.
    13. Zou, Bin & Peng, Jinqing & Li, Sihui & Li, Yi & Yan, Jinyue & Yang, Hongxing, 2022. "Comparative study of the dynamic programming-based and rule-based operation strategies for grid-connected PV-battery systems of office buildings," Applied Energy, Elsevier, vol. 305(C).
    Full references (including those not matched with items on IDEAS)

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