Skip to main content

Micro—Electromechanical Switches Application in Smart Grids for Improving Their Performance

  • Conference paper
  • First Online:
Fundamental Research in Electrical Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 480))

Abstract

Wireless sensor networks are as series sensor node in very small dimensions with the capability of sensing the surrounding environments, processing the data which is sensed; and, sharing the data between each other in wireless form. Despite numerous capabilities of these nodes, as their energy is supplied by batteries with limited power, they have limited life. In fact, the restrictions in the energy of nodes and the life span of a network poses as one of the important challenges in (using) these networks. The sensor nodes shall have the characteristics of low consumption capability; thus, in designing the nodes hardware, one must try to use designs and parts with low consumption. Furthermore, providing the sleep mode for the whole node or each section separately is highly important. Therefore, we suggest a combo-switch in which, the Micro—Electromechanical switch is used as a MOSFET switch functions as a gate MOSFET driver with the applicability of energy collection systems. The Power Administration Circuits which use combo-switch have the capacity of very low loss and no leakage, autonomous property and high current transmission capability. The measurements show solar energy collection circuits that use combo-switches collect energy without any power supply sources and voltage source, they charge the battery or drive resistive load. The current leakage during energy collection is very low; therefore, power administration which uses the proposed combo switch could serve as an ideal solution for autonomy of wireless sensor nodes in smart grid systems.

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 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
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. Ouyang Y, He J, Hu J, Wang SX (2012) A current sensor based on the giant magnetoresistance effect: design and potential smart grid applications. Sensors 12(11):15520–15541

    Article  Google Scholar 

  2. Han J, Hu J, Ouyang Y, Wang SX, He J (2015) Hysteretic modeling of output characteristics of giant magnetoresistive current sensors. IEEE Trans Industr Electron 62(1):516–524

    Article  Google Scholar 

  3. Dallago E, Danioni A, Marchesi M, Nucita V, Venchi G (2011) A self-powered electronic interface for electromagnetic energy harvester. IEEE Trans Power Electron 26(11):3174–3182

    Article  Google Scholar 

  4. Jiang X, Polastre J, Culler D (2005) Perpetual environmentally powered sensor networks. In: IPSN 2005. Fourth international symposium on information processing in sensor networks. IEEE, New York, pp 463–468

    Google Scholar 

  5. Torah R, Glynne-Jones P, Tudor M, O’Donnell T, Roy S, Beeby S (2008) Self-powered autonomous wireless sensor node using vibration energy harvesting. Measur Sci Technol 19(12):125202

    Article  Google Scholar 

  6. Gungor VC, Hancke GP (2009) Industrial wireless sensor networks: challenges, design principles, and technical approaches. IEEE Trans Industr Electron 56(10):4258–4265

    Article  Google Scholar 

  7. Park C, Chou PH (2006) Ambimax: autonomous energy harvesting platform for multi-supply wireless sensor nodes. In: 2006 3rd annual IEEE communications society on sensor and Ad Hoc communications and networks, vol 1. IEEE, New York, pp 168–177

    Google Scholar 

  8. De Brito MAG, Galotto L, Sampaio LP, de Azevedo e Melo G, Canesin CA (2013) Evaluation of the main MPPT techniques for photovoltaic applications. IEEE Trans Industr Electron 60(3):1156–1167

    Article  Google Scholar 

  9. Weddell AS, Grabham NJ, Harris NR, White NM (2009) Modular plug-and-play power resources for energy-aware wireless sensor nodes. In: 2009 6th annual IEEE communications society conference on sensor, mesh and Ad Hoc communications and networks. IEEE, New York, pp 1–9

    Google Scholar 

  10. Tan YK, Panda SK (2011) Energy harvesting from hybrid indoor ambient light and thermal energy sources for enhanced performance of wireless sensor nodes. IEEE Trans Industr Electron 58(9):4424–4435

    Article  Google Scholar 

  11. Magno M, Jackson N, Mathewson A, Benini L, Popovici E (2013) Combination of hybrid energy harvesters with MEMS piezoelectric and nano-Watt radio wake up to extend lifetime of system for wireless sensor nodes. In: Proceedings of 2013 26th international conference on architecture of computing systems (ARCS). VDE, pp 1–6

    Google Scholar 

  12. Moser C, Thiele L, Brunelli D, Benini L (2008) Robust and low complexity rate control for solar powered sensors. In: 2008 design, automation and test in Europe. IEEE, New York, pp 230–235

    Google Scholar 

  13. Moser C, Brunelli D, Thiele L, Benini L (2006) Real-time scheduling with regenerative energy. In: 18th Euromicro conference on real-time systems (ECRTS’06). IEEE, New York, p 10

    Google Scholar 

  14. Weddell, AS, Magno M, Merrett GV, Brunelli D, Al-Hashimi BM, Benini L (2013) A survey of multi-source energy harvesting systems. In: Proceedings of the conference on design, automation and test in Europe. EDA Consortium, pp 905–908

    Google Scholar 

  15. Morais R, Matos SG, Fernandes MA, Valente ALG, Soares SFSP, Ferreira PJSG, Reis MJCS (2008) Sun, wind and water flow as energy supply for small stationary data acquisition platforms. Comput Electron Agric 64(2):120–132

    Article  Google Scholar 

  16. Amirtharajah R, Chandrakasan AP (1998) Self-powered signal processing using vibration-based power generation. IEEE J Solid-State Circ 33(5):687–695

    Article  Google Scholar 

  17. Mathúna CÓ, O’Donnell T, Martinez-Catala RV, Rohan J, O’Flynn B (2008) Energy scavenging for long-term deployable wireless sensor networks. Talanta 75(3): 613–623

    Article  Google Scholar 

  18. Kong N, Ha DS (2012) Low-power design of a self-powered piezoelectric energy harvesting system with maximum power point tracking. IEEE Trans Power Electron 27(5):2298–2308

    Article  Google Scholar 

  19. Szarka GD, Stark BH, Burrow SG (2012) Review of power conditioning for kinetic energy harvesting systems. IEEE Trans Power Electron 27(2):803–815

    Article  Google Scholar 

  20. Cheng S, Sathe R, Natarajan RD, Arnold DP (2011) A voltage-multiplying self-powered AC/DC converter with 0.35-V minimum input voltage for energy harvesting applications. IEEE Trans Power Electron 26(9): 2542–2549

    Article  Google Scholar 

  21. Sun Y, Hieu NH, Jeong C-J, Lee S-G (2012) An integrated high-performance active rectifier for piezoelectric vibration energy harvesting systems. IEEE Trans Power Electron 27(2): 623–627

    Article  Google Scholar 

  22. Chung G-B, Ngo KDT (2005) Analysis of an AC/DC resonant pulse power converter for energy harvesting using a micro piezoelectric device. J Power Electron 5(4):247–256

    Google Scholar 

  23. Roundy S, Wright PK, Rabaey JM (2003) Energy scavenging for wireless sensor networks. Norwell

    Google Scholar 

  24. Kim J-M, Park J-H, Baek C-W, Kim Y-K (2004) The SiOG-based single-crystalline silicon (SCS) RF MEMS switch with uniform characteristics. J Microelectromech Syst 13(6):1036–1042

    Article  Google Scholar 

  25. Shenck NS, Paradiso JA (2001) Energy scavenging with shoe-mounted piezoelectrics. IEEE Micro 21(3):30–42

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Olamaei Javad .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Alireza, S., Javad, O. (2019). Micro—Electromechanical Switches Application in Smart Grids for Improving Their Performance. In: Montaser Kouhsari, S. (eds) Fundamental Research in Electrical Engineering. Lecture Notes in Electrical Engineering, vol 480. Springer, Singapore. https://doi.org/10.1007/978-981-10-8672-4_42

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-8672-4_42

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8671-7

  • Online ISBN: 978-981-10-8672-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics