IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i21p5780-d440001.html
   My bibliography  Save this article

Towards a Holistic Microgrid Performance Framework and a Data-Driven Assessment Analysis

Author

Listed:
  • Apostolos C. Tsolakis

    (Information Technologies Institute/Centre for Research and Technology-Hellas, 57001 Thessaloniki, Greece)

  • Ilias Kalamaras

    (Information Technologies Institute/Centre for Research and Technology-Hellas, 57001 Thessaloniki, Greece)

  • Thanasis Vafeiadis

    (Information Technologies Institute/Centre for Research and Technology-Hellas, 57001 Thessaloniki, Greece)

  • Lampros Zyglakis

    (Information Technologies Institute/Centre for Research and Technology-Hellas, 57001 Thessaloniki, Greece)

  • Angelina D. Bintoudi

    (Information Technologies Institute/Centre for Research and Technology-Hellas, 57001 Thessaloniki, Greece)

  • Adamantia Chouliara

    (Information Technologies Institute/Centre for Research and Technology-Hellas, 57001 Thessaloniki, Greece)

  • Dimosthenis Ioannidis

    (Information Technologies Institute/Centre for Research and Technology-Hellas, 57001 Thessaloniki, Greece)

  • Dimitrios Tzovaras

    (Information Technologies Institute/Centre for Research and Technology-Hellas, 57001 Thessaloniki, Greece)

Abstract

On becoming a commodity, Microgrids (MGs) have started gaining ground in various sizes (e.g., nanogrids, homegrids, etc.) and forms (e.g., local energy communities) leading an exponential growth in the respective sector. From demanding deployments such as military bases and hospitals, to tertiary and residential buildings and neighborhoods, MG systems exploit renewable and conventional generation assets, combined with various storage capabilities to deliver a completely new set of business opportunities and services in the context of the Smart Grid. As such systems involve economic, environmental and technical aspects, their performance is quite difficult to evaluate, since there are not any standards that cover all of these aspects, especially during operational stages. Towards allowing an holistic definition of a MG performance, for both design and operational stages, this paper first introduces a complete set of Key Performance Indicators to measure holistically the performance of a MG’s life cycle. Following, focusing on the MG’s day-to-day operation, a data-driven assessment is proposed, based on dynamic metrics, custom made reference models, and smart meter data, in order to be able to extract its operational performance. Two different algorithmic implementations (i.e., Dynamic Time Warping and t-distributed Stochastic Neighbor Embedding) are used to support the methodology proposed, while real-life data are used from a small scale MG to provide the desired proof-of-concept. Both algorithms seem to correctly identify days and periods of not optimal operation, hence presenting promising results for MG performance assessment, that could lead to a MG Performance Classification scheme.

Suggested Citation

  • Apostolos C. Tsolakis & Ilias Kalamaras & Thanasis Vafeiadis & Lampros Zyglakis & Angelina D. Bintoudi & Adamantia Chouliara & Dimosthenis Ioannidis & Dimitrios Tzovaras, 2020. "Towards a Holistic Microgrid Performance Framework and a Data-Driven Assessment Analysis," Energies, MDPI, vol. 13(21), pages 1-36, November.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:21:p:5780-:d:440001
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/21/5780/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/21/5780/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hirsch, Adam & Parag, Yael & Guerrero, Josep, 2018. "Microgrids: A review of technologies, key drivers, and outstanding issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 402-411.
    2. Personal, Enrique & Guerrero, Juan Ignacio & Garcia, Antonio & Peña, Manuel & Leon, Carlos, 2014. "Key performance indicators: A useful tool to assess Smart Grid goals," Energy, Elsevier, vol. 76(C), pages 976-988.
    3. Georgilakis, Pavlos S. & Katsigiannis, Yiannis A., 2009. "Reliability and economic evaluation of small autonomous power systems containing only renewable energy sources," Renewable Energy, Elsevier, vol. 34(1), pages 65-70.
    4. Yang, Hongxing & Wei, Zhou & Chengzhi, Lou, 2009. "Optimal design and techno-economic analysis of a hybrid solar-wind power generation system," Applied Energy, Elsevier, vol. 86(2), pages 163-169, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vibhu Jately & Balaji Venkateswaran V. & Stefan Azzopardi & Brian Azzopardi, 2021. "Design and Performance Investigation of a Pilot Micro-Grid in the Mediterranean: MCAST Case Study," Energies, MDPI, vol. 14(20), pages 1-32, October.
    2. Siddaiah, Rajanna & Saini, R.P., 2016. "A review on planning, configurations, modeling and optimization techniques of hybrid renewable energy systems for off grid applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 376-396.
    3. Rosales-Asensio, Enrique & de Simón-Martín, Miguel & Borge-Diez, David & Blanes-Peiró, Jorge Juan & Colmenar-Santos, Antonio, 2019. "Microgrids with energy storage systems as a means to increase power resilience: An application to office buildings," Energy, Elsevier, vol. 172(C), pages 1005-1015.
    4. Farhat Afzah Samoon & Ikhlaq Hussain & Sheikh Javed Iqbal, 2023. "ILA Optimisation Based Control for Enhancing DC Link Voltage with Seamless and Adaptive VSC Control in a PV-BES Based AC Microgrid," Energies, MDPI, vol. 16(21), pages 1-23, October.
    5. Emrani-Rahaghi, Pouria & Hashemi-Dezaki, Hamed & Ketabi, Abbas, 2023. "Efficient voltage control of low voltage distribution networks using integrated optimized energy management of networked residential multi-energy microgrids," Applied Energy, Elsevier, vol. 349(C).
    6. Hussain Abdalla Sajwani & Bassel Soudan & Abdul Ghani Olabi, 2024. "Empowering Sustainability: Understanding Determinants of Consumer Investment in Microgrid Technology in the UAE," Energies, MDPI, vol. 17(9), pages 1-28, May.
    7. Singh, Bharat & Kumar, Ashwani, 2023. "Optimal energy management and feasibility analysis of hybrid renewable energy sources with BESS and impact of electric vehicle load with demand response program," Energy, Elsevier, vol. 278(PA).
    8. Ray, Manojit & Chakraborty, Basab, 2022. "Impact of demand flexibility and tiered resilience on solar photovoltaic adoption in humanitarian settlements," Renewable Energy, Elsevier, vol. 193(C), pages 895-912.
    9. Dimitrios Trigkas & Chrysovalantou Ziogou & Spyros Voutetakis & Simira Papadopoulou, 2021. "Virtual Energy Storage in RES-Powered Smart Grids with Nonlinear Model Predictive Control," Energies, MDPI, vol. 14(4), pages 1-22, February.
    10. Jihed Hmad & Azeddine Houari & Allal El Moubarek Bouzid & Abdelhakim Saim & Hafedh Trabelsi, 2023. "A Review on Mode Transition Strategies between Grid-Connected and Standalone Operation of Voltage Source Inverters-Based Microgrids," Energies, MDPI, vol. 16(13), pages 1-41, June.
    11. Matija Kostelac & Lin Herenčić & Tomislav Capuder, 2022. "Planning and Operational Aspects of Individual and Clustered Multi-Energy Microgrid Options," Energies, MDPI, vol. 15(4), pages 1-17, February.
    12. Ahmed Y. Hatata & Mohamed A. Essa & Bishoy E. Sedhom, 2022. "Implementation and Design of FREEDM System Differential Protection Method Based on Internet of Things," Energies, MDPI, vol. 15(15), pages 1-24, August.
    13. Antoine Boche & Clément Foucher & Luiz Fernando Lavado Villa, 2022. "Understanding Microgrid Sustainability: A Systemic and Comprehensive Review," Energies, MDPI, vol. 15(8), pages 1-29, April.
    14. Terlouw, Tom & AlSkaif, Tarek & Bauer, Christian & van Sark, Wilfried, 2019. "Optimal energy management in all-electric residential energy systems with heat and electricity storage," Applied Energy, Elsevier, vol. 254(C).
    15. Soheil Mohseni & Alan C. Brent & Daniel Burmester, 2020. "Community Resilience-Oriented Optimal Micro-Grid Capacity Expansion Planning: The Case of Totarabank Eco-Village, New Zealand," Energies, MDPI, vol. 13(15), pages 1-29, August.
    16. Zhou, P. & Jin, R.Y. & Fan, L.W., 2016. "Reliability and economic evaluation of power system with renewables: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 537-547.
    17. Bossink, Bart A.G., 2017. "Demonstrating sustainable energy: A review based model of sustainable energy demonstration projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1349-1362.
    18. Zhao, Huiru & Li, Bingkang & Lu, Hao & Wang, Xuejie & Li, Hongze & Guo, Sen & Xue, Wanlei & Wang, Yuwei, 2022. "Economy-environment-energy performance evaluation of CCHP microgrid system: A hybrid multi-criteria decision-making method," Energy, Elsevier, vol. 240(C).
    19. Roth, Jonathan & Martin, Amory & Miller, Clayton & Jain, Rishee K., 2020. "SynCity: Using open data to create a synthetic city of hourly building energy estimates by integrating data-driven and physics-based methods," Applied Energy, Elsevier, vol. 280(C).
    20. Hammad Alnuman & Kuo-Hsien Hsia & Mohammadreza Askari Sepestanaki & Emad M. Ahmed & Saleh Mobayen & Ammar Armghan, 2023. "Design of Continuous Finite-Time Controller Based on Adaptive Tuning Approach for Disturbed Boost Converters," Mathematics, MDPI, vol. 11(7), pages 1-23, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:13:y:2020:i:21:p:5780-:d:440001. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.