Skip to main content

Energy Management Strategy of Solar Hydrogen Based Micro-grid and Flexible Market

  • Conference paper
  • First Online:
Highlights in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection (PAAMS 2021)

Abstract

An optimal energy management strategy of micro-grid consisting of solar energy sources and hydrogen system consisting of fuel cell and electrolyzer is presented in this paper. The uncertainty aspects of solar energy source and load is also considered in this work. Hydrogen and battery storage devices are used as long term and short-term devices respectively. A 24-h power dispatch strategy is proposed, considering both the minimization of operating costs and the environment costs due to carbon emission. Various operational constraints such as power equality, maximum and minimum power of generating sources etc. are considered in an operational strategy of the microgrid. An IEEE 13 bus system is considered as the test micro-grid. Further, this paper introduces a forthcoming study to be conducted by the authors to investigate the unique challenges of energy markets with large-scale penetrations of renewables, focusing on flexibility markets, with the main aim of placing the work on micro-grids described in the paper into a broader context, related to energy markets and power systems generally.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Alam, M., Kumar, K., Dutta, V.: Design and analysis of fuel cell and photovoltaic based 110 V DC microgrid using hydrogen energy storage. Energy Storage 1(3), e60 (2019)

    Article  Google Scholar 

  2. Cingoz, F., Elrayyah, A., Sozer, Y.: Optimized resource management for PV–fuel-cell-based microgrids using load characterizations. IEEE Trans. Ind. Appl. 52(2), 1723–1735 (2015)

    Article  Google Scholar 

  3. Duman, A.C., Güler, Ö.: Techno-economic analysis of off-grid PV/wind/fuel cell hybrid system combinations with a comparison of regularly and seasonally occupied households. Sustain. Cities Soc. 42, 107–126 (2018)

    Article  Google Scholar 

  4. Petrollese, M., Valverde, L., Cocco, D., Cau, G., Guerra, J.: Real-time integration of optimal generation scheduling with MPC for the energy management of a renewable hydrogen-based microgrid. Appl. Energy 166, 96–106 (2016)

    Article  Google Scholar 

  5. Marocco, P., Ferrero, D., Gandiglio, M., Ortiz, M.M., Sundseth, K., Lanzini, A., Santarelli, M.: A study of the techno-economic feasibility of H2-based energy storage systems in remote areas. Energy Convers. Manage. 211, 112768 (2020)

    Article  Google Scholar 

  6. Hwangbo, S., Nam, K., Heo, S., Yoo, C.: Hydrogen-based self-sustaining integrated renewable electricity network (HySIREN) using a supply-demand forecasting model and deep-learning algorithms. Energy Convers. Manage. 185, 353–367 (2019)

    Article  Google Scholar 

  7. García, P., Torreglosa, J.P., Fernandez, L.M., Jurado, F.: Optimal energy management system for stand-alone wind turbine/photovoltaic/hydrogen/battery hybrid system with supervisory control based on fuzzy logic. Int. J. Hydrogen Energy 38(33), 14146–14158 (2013)

    Article  Google Scholar 

  8. Ghatak, S.R., Sannigrahi, S., Acharjee, P.: Multiobjective framework for optimal integration of solar energy source in three-phase unbalanced distribution network. IEEE Trans. Ind. Appl. 56(3), 3068–3078 (2020)

    Article  Google Scholar 

  9. Deb, K.: Multi-objective Optimization Using Evolutionary Algorithm, 1st edn, pp. 203–207, Wiley (2001)

    Google Scholar 

  10. Kumar, M., Guria, C.: The elitist non-dominated sorting genetic algorithm with inheritance and its jumping gene adaptations for multi-objective optimization. Inf. Sci. 382–383, 15–37 (2017)

    Article  Google Scholar 

  11. Jeyadevi, S., Baskar, S., Babulal, C.K., Iruthayarajan, M.W.: Solving multiobjective optimal reactive power dispatch using modified NSGA-II. Int. J. Electr. Power Energy Syst. 33(2), 219–228 (2011)

    Article  Google Scholar 

  12. Hayat N., Roy Ghatak S., Rani Pani, S., Mishra, S.: Performance improvement of three phase unbalance distribution system using DG and DSTATCOM. In: IEEE Calcutta Conference (CALCON), pp. 200–205 (2020)

    Google Scholar 

  13. Lopes, F., Coelho, H.: Electricity markets with increasing levels of renewable generation: structure, operation, agent-based simulation and emerging designs, Springer, Cham (2018). https://doi.org/10.1007/978-3-319-74263-2

  14. Lopes, F.: From wholesale energy markets to local flexibility markets: structure, models and operation. In: Local Electricity Markets. Academic Press, London (2021)

    Google Scholar 

  15. Lopes, F.: MATREM: an Agent-based simulation tool for electricity markets. In: Electricity Markets with Increasing Levels of Renewable Generation: Structure, Operation, Agent-Based Simulation and Emerging Designs, pp. 189–225, Springer, Cham (2018). https://doi.org/10.1007/978-3-319-74263-2_8

  16. Algarvio, H., Couto, A., Lopes, F., Estanqueiro, A., Santana, J.: Multi-agent energy markets with high levels of renewable generation: a case-study on forecast uncertainty and market closing time. In: Omatu, S., et al. (ed.) 13th International Conference on Distributed Computing and Artificial Intelligence, pp. 339–347. Springer, Cham (2016)https://doi.org/10.1007/978-3-319-40162-1_37

  17. Lopes, F., Mamede, N., Novais, A.Q., Coelho, H.: Negotiation tactics for autonomous agents. In: 12th International Workshop on Database and Expert Systems Applications (DEXA), IEEE, pp. 1–5 (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ghatak, S.R., Lopes, F., Acharjee, P. (2021). Energy Management Strategy of Solar Hydrogen Based Micro-grid and Flexible Market. In: De La Prieta, F., El Bolock, A., Durães, D., Carneiro, J., Lopes, F., Julian, V. (eds) Highlights in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection. PAAMS 2021. Communications in Computer and Information Science, vol 1472. Springer, Cham. https://doi.org/10.1007/978-3-030-85710-3_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-85710-3_19

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85709-7

  • Online ISBN: 978-3-030-85710-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics