Skip to main content

Introduction to Renewable Energy Market and Metaheuristic Algorithms for Condition Monitoring of Photovoltaic Parameter Estimation

  • Chapter
  • First Online:
Metaheuristic and Evolutionary Computation: Algorithms and Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 916))

  • 901 Accesses

Abstract

For the growth of renewable energy in Indian modernized power zone, several efforts have been made in this chapter. This chapter précis the availability, existing status, key achievement and future potential of renewable energy, tradable REC certificates, and their consequences on the aspects of promoting renewable energy. It attempts to review a variety of plans and assesses commenced by administration of India for encouraging of renewable energy, the current policy mechanisms. Hence to explore the opportunity of a solution to the inconvenience of drastically decrement in renewable market, some comprehensive study and their future steps have been performed in this work. Highlighted power exchanges trading including which areas continue to need additional research in India. Role of ANN and Metaheuristic algorithms in renewable energy sector have been stated. This chapter also discusses about the role of private and public sector in energy sector in India and represents a brief discussion on market scenario of renewable energy especially solar energy.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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. V. Siva Reddy, S.C. Kaushik, N.L. Panwar, Review on power generation scenario of India. Renewable and Sustainable Energy Reviews 18, 43–48 (2013)

    Article  Google Scholar 

  2. J. Milano, H.C. Ong, H.H. Masjuki, W.T. Chong, M.K. Lam, P.K. Loh, V. Vellayan, Microalgae biofuels as an alternative to fossil fuel for power generation. Renew. Sustain. Energy Rev. 58, 180–197 (2016)

    Article  Google Scholar 

  3. J. Speirs, C. McGlade, R. Slade, Uncertainty in the availability of natural resources: fossil fuels, critical metals and biomass. Energy Policy 87, 654–664 (2015)

    Article  Google Scholar 

  4. M. Höök, X. Tang, Depletion of fossil fuels and anthropogenic climate change—a review. Energy Policy 52, 797–809 (2013)

    Article  Google Scholar 

  5. Business-standard.com, Available at: http://www.business-standard.com/article/economy-policy/india-achieves-12-95-of-renewable-energy-potential-114060501140_1.html (2014)

  6. Tentative-State-wise-break-up-of-Renewable-Power-by-2022, Available at: http://mnre.gov.in/file-manager/UserFiles/Tentative-State-wise-break-up-of-Renewable-Power-by-2022.pdf (2016)

  7. MNRE, Resolution on Jawaharlal Nehru National Solar Mission. No. 5/14/2008-P&C Ministry of New and Renewable Energy, Government of India (2010)

    Google Scholar 

  8. GOI, National Policy on Bio-fuels 2009, Ministry of New and Renewable Energy, Government of India (GoI), New Delhi (see: http://mnre.gov.in/file-manager/UserFiles/biofuel_policy.pdf). Accessed 6 Oct 2012

  9. MNRE, Annual Report 2011–2012, Ministry of New and Renewable Energy (MNRE), Government of India, New Delhi (2012)

    Google Scholar 

  10. MNRE, Jawaharlal Nehru National Solar Mission (JNNSM), Ministry of New and Renewable Energy (MNRE) (Government of India, New Delhi, 2010)

    Google Scholar 

  11. http://mnre.gov.in/pdf/mission-document-JNNSM.pdf. Accessed 4 Apr 2012

  12. www.mnre.gov.in (2016)

  13. MNRES, Review of Government of India Policies for promotion of renewable and biomass energy utilization in India. Available source: www.nri.org (2016)

  14. Bridge to India: Solar Map of India. Available at: http://www.bridgetoindia.com/wp-content/uploads/2015/09/india-solar-map_front_final-01.png (2013)

  15. M. Goyal, R. Jha, Introduction of renewable energy certificate in the Indian scenario. Renew. Sustain. Energy Rev. 1, 395–405 (2009)

    Google Scholar 

  16. G. Shrimali, S. Tirumalachetty, Renewable energy certificate markets in India—a review. Renew. Sustain. Energy Rev. 26, 702–716 (2013)

    Article  Google Scholar 

  17. S.K. Gupta, P. Purohit, Renewable energy certificate mechanism in India: a preliminary assessment. Renew. Sustain. Energy Rev. 22, 380–392 (2013)

    Article  Google Scholar 

  18. K. Narula, Renewable energy certificates (RECs) in India—a performance analysis and future outlook. Renew. Sustain. Energy Rev. 27, 654–663 (2013)

    Article  Google Scholar 

  19. R. Kumar, A. Agarwala, Renewable energy certificate and perform, achieve, trade mechanisms to enhance the energy security for India. Energy Policy 55, 669–676 (2013)

    Article  Google Scholar 

  20. R.M. Shereef, S.A. Khaparde, Current status of REC mechanism in India and possible policy modifications to way forward. Energy Policy 61, 1443–1451 (2013)

    Article  Google Scholar 

  21. CERC, Terms and Conditions for recognition and issuance of Renewable Energy Certificate for Renewable Energy Generation (First Amendment) Regulations 2010 (see: https://www.recregistryindia.in/pdf/REC_Regulation/REC_Amemdment_SOR_27_9_2010.pdf

  22. M. Goyal, R. Jha, Introduction of renewable energy certificate in the Indian scenario. Renew. Sustain. Energy Rev. 13, 1395–1405 (2009)

    Article  Google Scholar 

  23. S.K. Soonee, M. Garg, S. Prakash, Renewable energy certificate mechanism in India, in 16th National Power System Conference, 15–17 Dec 2010, pp. 92–97

    Google Scholar 

  24. S.S. Chandel, R. Shrivastva, V. Sharma, P. Ramasamy, Overview of the initiatives in renewable energy sector under the national action plan on climate change in India. Renew. Sustain. Energy Rev. 54, 866–873 (2016)

    Google Scholar 

  25. http://niti.gov.in/writereaddata/files/document_publication/RE_Roadmap_ExecutiveSummary.pdf (2016)

  26. National Action Plan of Climate Change. Available on http://www.moef.nic.in/sites/default/files/Pg01-52_2.pdf (2015)

  27. T. Pandve Harshal, India’s national action plan on climate change. Indian J. Occup. Environ. Med. 13, 17–19 (2009)

    Google Scholar 

  28. NAPCC, National Action Plan on Climate Change, Government of India Prime Minister’s Council on Climate Change (2008)

    Google Scholar 

  29. GOI, National Action Plan on Climate Change, Prime Minister’s Council on Climate Change, Government of India (GOI), New Delhi (see: https://www.indiaenvironmentportal.org.in/sites/cse/files/7_11.pdf). Accessed 7 Sept 2012 (2008)

  30. R.M. Shereef, S.A. Khaparde, A comprehensive method to find RPO trajectory and incentive scheme for promotion of renewable energy in India with study of impact of RPO on tariff. Energy Policy 61, 686–696 (2013)

    Article  Google Scholar 

  31. RSM GC Advisory, Available at: http://www.general-carbon.com (2016)

  32. T. Thakur, S.G. Deshmukh, S.C. Kaushik, M. Kulshrestha, Impact assessment of the Electricity Act 2003 on the Indian power sector. Energy Policy 33, 1187–1198 (2005)

    Google Scholar 

  33. A. Bhide, C.R. Monroy, Energy poverty: a special focus on energy poverty in India and renewable energy technologies. Renew. Sustain. Energy Rev. 15, 1057–1066 (2011)

    Article  Google Scholar 

  34. GoI 2003, The Electricity Act 2003, Ministry of Law & Justice, Government of India (GoI), New Delhi (https://www.powermin.nic.in/acts_notification/electricity_act2003/pdf/The%20Electricity%20Act_2003.pdf)

  35. Government of India, The Electricity Act 2003 (The Gazette of India, Extraordinary, New Dellhi, 2003)

    Google Scholar 

  36. RE-Invest_2015_Investors_Guide. Available at: http://www.re-invest.in/Document/orginal/15.RE-Invest_2015_Investors_Guide.pdf (2015)

  37. A. Kumar, K. Kumar, S. Sharma, S. Mishra, Renewable energy in India: current status and future potentials. Renew. Sustain. Energy Rev. 14, 2434–2442 (2010)

    Article  Google Scholar 

  38. GoI 2005, National Electricity Policy 2005, Ministry of Power, Government of India (GoI) New Delhi (see: https://www.powermin.nic.in/whats_new/national_electricity_policy.htm. Accessed 6 Oct 2012

  39. Government of India, National Electricity Policy and Plan. Available: https://www.powermin.nic.in (2016)

  40. G. Schmid, The development of renewable energy power in India: which policies have been effective? Working Paper Series, 2011. Available on http://www.unige.ch/ses/dsec/repec/files/11103.pdf

  41. GoI. 2006, National Tariff Policy 2006, Ministry of Power, Government of India (GoI) New Delhi (see: https://www.powermin.nic.in/whats_new/pdf/Tariff_Policy.pdf). Accessed 6 Oct 2012

  42. Government of India, Tariff Policy, 6 Jan 2006. Available: https://www.powermin.nic.in (2016)

  43. S. Byravan, S.C. Rajan, An evaluation of India’s National Action Plan on Climate Change, NAPCC evaluation report, Centre for Development Finance (CDF), IFMR and Humanities and Social Sciences, IIT Madras, July 2012

    Google Scholar 

  44. Government of India, National mission on strategic knowledge for climate change under national action plan on climate change, Mission document, Department of Science & Technology, Ministry of Science & Technology, New Delhi, July, 2010

    Google Scholar 

  45. Shakti Sustainable Energy Foundation, A Brief History of India’s Climate Actions, India Climate Report, vol. 1, July 2015

    Google Scholar 

  46. Government of India, Climate change & 12th five year plan, Report of sub-group on climate change, Planning Commission, New Delhi, October 2011

    Google Scholar 

  47. P Garg, Energy Scenario and Vision 2020 in India. J. Sustain. Energy Environ. 3, 7–17 (2012)

    Google Scholar 

  48. Solar Energy Corporation of India Limited, Government of India (GOI), http://www.seci.gov.in/content/innerpage/solar-park.php(2016)

  49. Ministry of New & Renewable Energy, Scheme for development of solar parks and ultra mega solar power projects. eNREE 11(3), 7–8 (2014)

    Google Scholar 

  50. MNRE, GOI, National Offshore Wind Energy Policy (2013), pp. 1–15

    Google Scholar 

  51. S. Sawyer, Offshore wind policy and market assessment a global outlook, A report. European Union, Dec 2014

    Google Scholar 

  52. PGCIL, Green Energy Corridors-Transmission Plan for Envisaged Renewable Capacity, A Report, Power Grid Corporation of India Limited, Gurgaon, vol. I, July 2012

    Google Scholar 

  53. National Renewable Energy Laboratory (NREL), Solar Resource Assessment Databases, Measurements, Models, and Information Sources (2016)

    Google Scholar 

  54. C. Denver, S. Wilcox, R. George, D. Myers, Solar Radiation Data Sets-Solar Resource Assessment Workshop. National Renewable Energy Laboratory (2008)

    Google Scholar 

  55. http://niwe.res.in/ (2016)

  56. http://mnre.gov.in/centers/cwet/ (2016)

  57. Department of Renewable energy, Govt. of Haryana. Available at: http://hareda.gov.in/?model=pages&nid=159 (2016)

  58. Rajiv Gandhi College of Engineering & Technology, Pondicherry. Available at: http://www.rgcetpdy.ac.in/rec.html (2016)

  59. K.L.N. College of Information Technology, Tamil Nadu. Available at: http://www.klncit.edu.in/activities/energyclub.asp (2016)

  60. N S N College of Engineering & Technology, Tamil Nadu. Available at: http://www.nsn.ac.in/renewable-energy-club.html (2016)

  61. Chhatrapati Shivaji Institute of Technology Durg, Chhattisgarh, India. Available at: http://www.csitdurg.in/c/renewable-energy-club (2016)

  62. Indian Institute of Technology, Bombay. Available at: http://www.ese.iitb.ac.in/~energyclub/ (2016)

  63. St. Vincent Pallotti College of Engineering & Technology, Nagpur. Available at: http://www.stvincentngp.edu.in/index.php/rec (2016)

  64. W. Chine, A. Mellit, V. Lughi, A. Malek, G. Sulligoi, A.M. Pavan, A novel fault diagnosis technique for photovoltaic systems based on artificial neural networks. Renew. Energy 90, 501–512 (2016)

    Article  Google Scholar 

  65. E. Karatepe, T. Hiyama, Controlling of artificial neural network for fault diagnosis of photovoltaic array, in 2011 16th International Conference on Intelligent System Application to Power Systems (ISAP). IEEE, pp. 1–6

    Google Scholar 

  66. X. Li, P. Yang, J. Ni, J. Zhao, Fault diagnostic method for PV array based on improved wavelet neural network algorithm, in 2014 11th World Congress on Intelligent Control and Automation (WCICA). IEEE, pp. 1171–1175

    Google Scholar 

  67. L.L. Jiang, D.L. Maskell, Automatic fault detection and diagnosis for photovoltaic systems using combined artificial neural network and analytical based methods, in 2015 International Joint Conference on Neural Networks (IJCNN). IEEE, pp. 1–8

    Google Scholar 

  68. W. Rezgui, L.H. Mouss, N.K. Mouss, M.D. Mouss, M. Benbouzid, A smart algorithm for the diagnosis of short-circuit faults in a photovoltaic generator, in 2014 First International Conference on Green Energy ICGE 2014. IEEE, pp. 139–143

    Google Scholar 

  69. O. Hachana, K.E. Hemsas, G. M. Tina, Fault diagnosis of building integrated PV generator: a metaheuristic technique, in 2015 6th International on Renewable Energy Congress (IREC). IEEE, pp. 1–6

    Google Scholar 

  70. D.S. Pillai, N. Rajasekar, Metaheuristic algorithms for PV parameter identification: a comprehensive review with an application to threshold setting for fault detection in PV systems. Renew. Sustain. Energy Rev. 82(Part 3), 3503–3525 (2018)

    Google Scholar 

  71. N.K. Nandan, et al., Solving nonconvex economic thermal power dispatch problem with multiple fuel system and valve point loading effect using fuzzy reinforcement learning. J. Intell. Fuzzy Syst. 35(5), 4921–4931 (2018). https://doi.org/10.3233/jifs-169776

  72. S. Smriti et al., Special issue on intelligent tools and techniques for signals, machines and automation. J. Intell. Fuzzy Syst. 35(5), 4895–4899 (2018). https://doi.org/10.3233/JIFS-169773

    Article  Google Scholar 

  73. A. Khatri, et al., Optimal design of power transformer using genetic algorithm, in Proceedings of IEEE International Conference on Communication System’s Network Technologies (2012), pp. 830–833. https://doi.org/10.1109/csnt.2012.180

  74. H. Malik, et al., PSO-NN-based hybrid model for long-term wind speed prediction: a study on 67 cities of India, in Applications of Artificial Intelligence Techniques in Engineering, Advances in Intelligent Systems and Computing, vol. 697 (2018), pp. 319–327. https://doi.org/10.1007/978-981-13-1822-1_29

  75. T. Mahto et al., Load frequency control of a solar-diesel based isolated hybrid power system by fractional order control using particle swarm optimization. J. Intell. Fuzzy Syst. 35(5), 5055–5061 (2018). https://doi.org/10.3233/JIFS-169789

    Article  Google Scholar 

  76. T. Mahto, et al., Fractional order control and simulation of wind-biomass isolated hybrid power system using particle swarm optimization, in Applications of Artificial Intelligence Techniques in Engineering, Advances in Intelligent Systems and Computing, vol. 698 (2018), pp. 277–287. https://doi.org/10.1007/978-981-13-1819-1_28

  77. S. Osama, E.H. Houssein, A. Darwish, A.E. Hassanien, A.A. Fahmy, An optimized support vector regression using whale optimization for long term wind speed forecasting, Series in Machine Perception and Artificial Intelligence, Hybrid Metaheuristics, 2018, pp. 171–196

    Google Scholar 

  78. Y. Jiang, Z. Song, A. Kusiak, Very short-term wind speed forecasting with Bayesian structural break model. Renew. Energy 50, 637–647 (2013)

    Article  Google Scholar 

  79. S. Fei, Y. He, Wind speed prediction using the hybrid model of wavelet decomposition and artificial bee colony algorithm-based relevance vector machine. Int. J. Electr. Power Energy Syst. 73, 625–631 (2015)

    Article  Google Scholar 

  80. E.H. Houssein, Particle swarm optimization-enhanced twin support vector regression for wind speed forecasting. J. Intell. Syst. De Gruyter 28(5), 905–914 (2017)

    Google Scholar 

  81. D. Niu, S. Dai, A short-term load forecasting model with a modified particle swarm optimization algorithm and least squares support vector machine based on the denoising method of empirical mode decomposition and grey relational analysis. Energies 10(3), 408 (2017)

    Article  Google Scholar 

  82. T. Mahto, V. Mukherjee, Evolutionary optimization technique for comparative analysis of different classical controllers for an isolated wind diesel hybrid power system. Swarm Evol. Comput. 26, 120–136 (2016)

    Article  Google Scholar 

  83. J.J. Soon, K.-S. Low, Optimizing photovoltaic model parameters for simulation, in 2012 IEEE International Symposium on Industrial Electronics, Hangzhou, 2012, pp. 1813–1818

    Google Scholar 

  84. MAzab, Optimal power point tracking for stand-alone PV system using particle swarm optimization, in 2010 IEEE International Symposium on Industrial Electronics, Bari, 2010, pp. 969–973

    Google Scholar 

  85. Q. Fu, N. Tong, A new PSO algorithm based on adaptive grouping for photovoltaic MPP prediction, in 2010 2nd International Workshop on Intelligent Systems and Applications, Wuhan, 2010, pp. 1–5

    Google Scholar 

  86. N. Boutasseta, PSO-PI based control of photovoltaic arrays. Int. J. Comput. Appl. 48(17), 36–40 (2012)

    Google Scholar 

  87. L. Thiaw, G.S.S. Fall, Application of neural networks technique in renewable energy systems, in First International Conference on Systems Informatics, Modelling and Simulation (2014), pp. 6–11

    Google Scholar 

  88. http://www.suzlon.com (2016)

  89. Makeinindia.com (2016)

    Google Scholar 

  90. http://elibrary.worldbank.org/doi/abs/10.1596/978-1-4648-0339-0_ch5 (2016)

  91. http://cleantechnica.com/2016/01/03/charting-indias-renewable-energy-future-public-private-partnership/ (2016)

  92. CERC New Delhi: Determination of forbearance and floor price for the REC framework to be applicable from 1st April 2012, Petition no. 142/2011 (Suo Moto) (2011)

    Google Scholar 

  93. Y.K. Bichpuriya, S.A. Soman, Electric power exchanges: a review, in 16th National Power Systems Conference (2010), pp. 115–120

    Google Scholar 

  94. Power exchange India limited, India. Available: http://www.powerexindia.com/ (2016)

  95. Indian energy exchange, India. Available: http://www.iexindia.com (2016)

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pradeep Kumar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Kumar, P. (2021). Introduction to Renewable Energy Market and Metaheuristic Algorithms for Condition Monitoring of Photovoltaic Parameter Estimation. In: Malik, H., Iqbal, A., Joshi, P., Agrawal, S., Bakhsh, F.I. (eds) Metaheuristic and Evolutionary Computation: Algorithms and Applications. Studies in Computational Intelligence, vol 916. Springer, Singapore. https://doi.org/10.1007/978-981-15-7571-6_11

Download citation

Publish with us

Policies and ethics