Skip to main content

Load Scheduling with Combinations of Existing Tariff Structure for Residential Consumers in Maharashtra, India—Case Study

  • Conference paper
  • First Online:
Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1245))

  • 1088 Accesses

Abstract

The growth of any country depends upon the availability, accessibility and growth of electricity. The need of energy rises due to the modern lifestyle and advanced technologies in residential sector and hence in industrial sector. The un-even demand in energy during different time intervals of a day leads to unbalanced load curve at power plant. To balance the load curve, demand during peak hours need to be reduced and this can be adjusted during off peak hours. Therefore, this paper presents the load scheduling scheme for residential consumers with the combinations of existing tariff structure. This will help in reducing the peak load thereby benefitting both consumers and utility. The case study of residential consumer with the combinations of tariff structures like (1) slab-wise tariff, (2) slab-wise tariff and Time of day tariff (ToD) with usual load pattern and (3) slab-wise tariff & ToD tariff with load scheduling is presented to validate the proposed load scheduling scheme. The same proposal with little modifications can be implemented for industrial sector also.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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

Similar content being viewed by others

References

  1. Demand side management in india: an overview of state level initiatives. Prayas Energy group. http://www.prayaspune.org/peg/publications/item/281-demand-side-management-in-india-an-overview-of-state-level-initiatives.html

  2. Talhar AS, Bodkhe SB (2019) The global survey of electrical energy distribution system: a review. IJECE 19:2247–2255. https://doi.org/10.11591/ijece.v9i4

    Article  Google Scholar 

  3. Central Electricity Authority Report (Government of India) (2017) http://www.cea.nic.in/annualreports.html

  4. Hu Q, Li F (2013) Hardware design of smart home energy management system with dynamic price response. IEEE Trans Smart Grid 4(4):1878–1887

    Article  Google Scholar 

  5. Chen X, Wei T (2013) Uncertainty-aware household appliance scheduling considering dynamic electricity pricing in smart home. IEEE Trans Smart Grid 4(2):932–941

    Article  Google Scholar 

  6. Guo Y, Pan M, Fang Y (2012) Optimal power management of residential customers in the smart grid. IEEE Trans Parallel Distrib Syst 23(9):1593–1606

    Article  Google Scholar 

  7. Rajan S, Thomas M (2015) An efficient home energy management algorithm for demand response analysis in Indian scenario. In: IEEE Annual India Conference (INDICON) 2015

    Google Scholar 

  8. Mathavi S, Vanitha D, Jeynanthi S, Kumaran PS (2012) The smart home: renewable energy management system for smart grid based on ISM band communications. Int J Sci Eng Res 3(3):1–8

    Google Scholar 

  9. Al-Ali AR, Hag AE, Bahadiri M, Harbaji M, Haj YA (2011) Smart home renewable energy management system. Energy Procedia 12:120–126 Elsevier

    Article  Google Scholar 

  10. Solanki PS, Mallela VS, Zhou C (2013) An investigation of standby energy losses in residential sector: solutions and policies. Int J Energy Environ 4(1):117–126

    Google Scholar 

  11. Moghe R, Lambert FC, Divan D (2012) Smart stick-on sensors for the smart grid. IEEE Trans Smart Grid 3(1):241–252

    Article  Google Scholar 

  12. Mishra A, Irwin D, Shenoy P, Kurose J, Zhu T (2013) Green charge: managing renewable energy in smart buildings. IEEE J Sel Areas Commun 31(7):1281–1293

    Article  Google Scholar 

  13. Byun J, Hong I, Kang B, Park S (2011) A smart energy distribution and management system for renewable energy distribution and context-aware services based on user patterns and load forecasting. IEEE Trans Consum Electron 57(2):436–444

    Article  Google Scholar 

  14. Ferreira HL, Garde R, Fulli G, Kling W, Lopes JP (2013) Characterization of electrical energy storage technologies. Elsevier J Energy 53:288–298

    Article  Google Scholar 

  15. Bedi HS, Singh N, Singh N (2016) A technical review on solar-net metering. In: India international conference on power electronics (IICPE)

    Google Scholar 

  16. Maharaja K, Balaji PP, Sangeetha S, Elakkiya M (2016) Development of bidirectional net meter in grid connected solar PV system for domestic consumers. In: International conference on energy efficient technologies for sustainability (ICEETS)

    Google Scholar 

  17. Nazar N, Abdullah M, Hassan M, Hussin F (2012) Time-based electricity pricing for demand response implementation in monopolized electricity market. In: IEEE students conference on research and development (Malaysia)

    Google Scholar 

  18. Azman N, Abdulla M, Hassan M, Said D, Hussain F (2017) Enhanced time of use electricity pricing for industrial customers in Malaysia. Indonesian J Electr Eng Comput Sci 6(1):155–160

    Article  Google Scholar 

  19. Shaikh S, Dharme A (2009) Time of use pricing-India, a case study. In: Third international conference on power systems, Kharagpur, INDIA

    Google Scholar 

  20. Maharashtra State Load Dispatch Center, mahasldc.co.in

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Archana Talhar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Talhar, A., Bodkhe, S. (2021). Load Scheduling with Combinations of Existing Tariff Structure for Residential Consumers in Maharashtra, India—Case Study. In: Gunjan, V.K., Zurada, J.M. (eds) Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications. Advances in Intelligent Systems and Computing, vol 1245. Springer, Singapore. https://doi.org/10.1007/978-981-15-7234-0_5

Download citation

Publish with us

Policies and ethics