Skip to main content
SpringerLink
Log in

Review of Optimization Tools Used for Design of Distributed Renewable Energy Resources

  • Conference paper
  • First Online:
Renewable Energy, Green Computing, and Sustainable Development (REGS 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2081))

  • 18 Accesses

Abstract

This paper going to review the different optimization tools used in the distributed energy systems. Optimization tools are generally used to size the individual renewable sources.as well as used to analysis the economic part of the system in terms of cost of Energy (COE), Net present cost (NPC), Internal rate of return (IRR), simple payback period, Operating cost and capital cost of system. Due to rapid development in technology, various optimization tools such as Genetic Algorithm, Machine Learning Algorithm, Fuzzy logic, Artificial Intelligence was developed by the researcher for optimize hybrid renewable energy system (HRE). Because of global warming, penetration of renewable energy in the grid, commercial building, educational building and residential consumer was increasing gradually and it is very important to have a optimization tool to check the feasibility of the project before going for the real time installation of HRE system. In this paper various optimization tools used by the researcher is going to be investigated in detailed.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 79.99
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. Nehrir, M.H., et al.: A review of hybrid renewable/alternative energy systems for electric power generation: configurations, control, and applications. IEEE Trans. Sustain. Energy 2, 392–403 (2011)

    Article  Google Scholar 

  2. Bird, L., Milligan, M., Lew, D.: Integrating variable renewable energy: challenges and solutions. Nat. Renew. Energy Lab. (2013)

    Google Scholar 

  3. Ruggiero, S., Lehkonen, H.: Renewable energy growth and the financial performance of electric utilities: a panel data study. J. Clean. Prod. 142, 3676–3688 (2017)

    Article  Google Scholar 

  4. Mekontso, C., et al.: Review of optimization techniques for sizing renewable energy systems. Comput. Eng. Appl. J. 8(1), 13–30 (2019)

    Google Scholar 

  5. Denholm, P., Margolis, R.: Energy storage requirements for achieving 50% solar photovoltaic energy penetration in California. No. NREL/TP-6A20–66595. National Renewable Energy Lab.(NREL), Golden, CO (United States) (2016)

    Google Scholar 

  6. Krishna, K.S., Kumar, K.S.: A review on hybrid renewable energy systems. Renew. Sustain. Energy Rev. 52, 907–916 (2015)

    Google Scholar 

  7. Afzal, A., Kumar, H., Sharma, V.K.: Hybrid renewable energy systems for energy security using optimization technique. In: 2011 International Conference & Utility Exhibition on Power and Energy Systems: Issues and Prospects for Asia (ICUE). IEEE (2011)

    Google Scholar 

  8. Ram, M., et al.: A comparative analysis of electricity generation costs from renewable, fossil fuel and nuclear sources in G20 countries for the period 2015–2030. J. Cleaner Prod. 199, 687–704 (2018)

    Google Scholar 

  9. Parhizi, S., et al.: State of the art in research on microgrids: a review. IEEE Access 3, 890–925 (2015)

    Google Scholar 

  10. Kumar, P., Deokar, S.: Designing and simulation tools of renewable energy systems: review literature. In: Saeed, K., Chaki, N., Pati, B., Bakshi, S., Mohapatra, D.P. (eds.) Progress in Advanced Computing and Intelligent Engineering. AISC, vol. 563, pp. 315–324. Springer, Singapore (2018). https://doi.org/10.1007/978-981-10-6872-0_29

    Chapter  Google Scholar 

  11. Thula, M., Kumar, M.N., Reddy, V.S.: Simulation and performance analysis of 100kWp solar rooftop using Solar Pro software. In: 2017 Innovations in Power and Advanced Computing Technologies (i-PACT). IEEE (2017)

    Google Scholar 

  12. Sharma, S., Kurian, C.P., Paragond, L.S.: Solar PV system design using PVsyst: a case study of an academic institute. In: 2018 International Conference on Control, Power, Communication and Computing Technologies (ICCPCCT). IEEE (2018)

    Google Scholar 

  13. Baqir, M., Channi, H.K.: Analysis and design of solar PV system using Pvsyst software. Mater. Today Proc. (2021)

    Google Scholar 

  14. Kumar, R., et al.: Design and simulation of standalone solar PV system using PVsyst software: a case study. Mater. Today Proc. 46, 5322–5328 (2021)

    Google Scholar 

  15. Sharma, R., Sharma, S., Tiwari, S.: Design optimization of solar PV water pumping system. Mater. Today Proc. 21, 1673–1679 (2020)

    Article  Google Scholar 

  16. Saraswat, R.: Comparative performance evaluation of solar PV modules from different manufacturers in India by using PVsyst. In: 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES). IEEE (2016)

    Google Scholar 

  17. Ali, M.S., et al.: Helioscope based design of a MWp solar PV plant on a marshy land of Bangladesh and prediction of plant performance with the variation of tilt angle. GUB J. Sci. Eng. 5(1), 1–5 (2018)

    Google Scholar 

  18. Piyushkumar, P.K., Shinde, S., Shah, P.: Design and estimation of solar PV system for educational campus. Asian J. Converg. Technol. (AJCT) 5(3), 78–82 (2019). ISSN-2350–1146

    Google Scholar 

  19. Khalil, L., et al.: Optimization and designing of hybrid power system using HOMER pro. Mater. Today Proc. 47, S110–S115 (2021)

    Google Scholar 

  20. Sauer, K.J., Roessler, T.: Systematic approaches to ensure correct representation of measured multi-irradiance module performance in PV system energy production forecasting software programs. In: 2012 38th IEEE Photovoltaic Specialists Conference. IEEE (2012)

    Google Scholar 

  21. Al Mehadi, A., et al.: Design, simulation and analysis of monofacial solar PV panel based energy system for university residence: a case study. In: IOP Conference Series: Materials Science and Engineering, vol. 1045, no. 1. IOP Publishing (2021)

    Google Scholar 

  22. Husu, A.G., et al.: Software Tools for PV Applications in Different Regions of Europe–Part 1: Energy Efficiency

    Google Scholar 

Download references

Acknowledgement

The authors are highly thankful to All India Council for Technical Education, New Delhi, India under Research Promotion Scheme, File No. 8–119/FDC/RPS (POLICY-1)/ 2019–20 for their financial grant towards this project.

Author information

Authors and Affiliations

  1. Department of Electrical & Electronics Engineering, Puducherry Technological University, Puducherry, India

    Muthukumaran Thulasingam & Ajay-D.-Vimal Raj Periyanayagam

Authors
  1. Muthukumaran Thulasingam
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ajay-D.-Vimal Raj Periyanayagam
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Muthukumaran Thulasingam .

Editor information

Editors and Affiliations

  1. CVR College of Engineering, Hyderabad, Telangana, India

    Sree Lakshmi Gundebommu

  2. Andhra University, Visakhapatnam, Andhra Pradesh, India

    Lakshminarayana Sadasivuni

  3. CVR College of Engineering, Hyderabad, India

    Lakshmi Swarupa Malladi

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Thulasingam, M., Periyanayagam, ADV.R. (2024). Review of Optimization Tools Used for Design of Distributed Renewable Energy Resources. In: Gundebommu, S.L., Sadasivuni, L., Malladi, L.S. (eds) Renewable Energy, Green Computing, and Sustainable Development. REGS 2023. Communications in Computer and Information Science, vol 2081. Springer, Cham. https://doi.org/10.1007/978-3-031-58607-1_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-58607-1_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-58606-4

  • Online ISBN: 978-3-031-58607-1

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics

Search

Navigation