skip to main content
research-article
Public Access

Minimizing Transmission Loss in Smart Microgrids by Sharing Renewable Energy

Published:19 December 2016Publication History
Skip Abstract Section

Abstract

Renewable energy (e.g., solar energy) is an attractive option to provide green energy to homes. Unfortunately, the intermittent nature of renewable energy results in a mismatch between when these sources generate energy and when homes demand it. This mismatch reduces the efficiency of using harvested energy by either (i) requiring batteries to store surplus energy, which typically incurs ∼ 20% energy conversion losses, or (ii) using net metering to transmit surplus energy via the electric grid’s AC lines, which severely limits the maximum percentage of renewable penetration possible. In this article, we propose an alternative structure where nearby homes explicitly share energy with each other to balance local energy harvesting and demand in microgrids. We develop a novel energy sharing approach to determine which homes should share energy, and when to minimize system-wide energy transmission losses in the microgrid. We evaluate our approach in simulation using real traces of solar energy harvesting and home consumption data from a deployment in Amherst, MA. We show that our system (i) reduces the energy loss on the AC line by 64% without requiring large batteries, (ii) performance scales up with larger battery capacities, and (iii) is robust to different energy consumption patterns and energy prediction accuracy in the microgrid.

References

  1. A. Anil and C. Tomlin. 2011. Reducing transient and steady state electricity consumption in HVAC using learning-based model predictive control. Proceedings of IEEE 100, 1 (2011), 240--253.Google ScholarGoogle Scholar
  2. A. Chakrabortty. 2012. Wide-area control of large power systems using dynamic clustering and TCSC-based redesigns. IEEE Transactions on Smart Grid 3, 3, 1503--1514. Google ScholarGoogle ScholarCross RefCross Ref
  3. A. Chakrabortty and A. Salazar. 2011. Building a dynamic electro-mechanical model for the Pacific AC intertie using distributed synchrophasor measurements. European Transactions on Electric Power: Special Issue on PMU Applications. 21, 4, 1657--1672. Google ScholarGoogle ScholarCross RefCross Ref
  4. A. Chakrabortty, J. H. Chow, and A. Salazar. 2011. A measurement-based framework for dynamic equivalencing of power systems using wide-area phasor measurements. IEEE Transactions on Smart Grid 1, 2, 68--81. Google ScholarGoogle ScholarCross RefCross Ref
  5. A. Thatte and L. Xie. 2012. Towards a unified operational value index of energy storage in smart grid environment. 3, 3, 1418--1426.Google ScholarGoogle Scholar
  6. A. Aswani, N. Master, J. Taneja, A. Krioukov, D. Culler, and C. Tomlin. 2012. Energy-efficient building HVAC control using hybrid system LBMPC. In Proceedings of IFAC Conference on Nonlinear Model Predictive Control. Google ScholarGoogle ScholarCross RefCross Ref
  7. R. Basmadjian, H. De Meer, R. Lent, and G. Giuliani. 2012. Cloud computing and its interest in saving energy: The use case of a private cloud. Journal of Cloud Computing: Advances, Systems and Applications 1, 5, 1--25.Google ScholarGoogle ScholarCross RefCross Ref
  8. M. Behl, M. Aneja, H. Jain, and R. Mangharam. 2011. EnRoute: An energy router for energy-efficient buildings. In IPSN.Google ScholarGoogle Scholar
  9. J. Crowcroft. 2012. Cutting the energy cost of TV content distribution by 5, by understanding the popularity of the top ten programs. In e-Energy. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. DOE. 2014. VEHICLE TECHNOLOGIES OFFICE: BATTERIES. Retrieved from http://www.energy.gov/eere/transportation/vehicles.Google ScholarGoogle Scholar
  11. DSIRE. 2010. Database of State Incentives for Renewables and Efficiency. (2010). http://www.dsireusa.org.Google ScholarGoogle Scholar
  12. F. J. Jin and K. G. Shin. 2012. Pack sizing and reconfiguration for management of large-scale batteries. In Proceedings of International Conference on Cyber-Physical Systems. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Xiaofan Jiang, Minh Van Ly, Jay Taneja, Prabal Dutta, and David Culler. 2009. Experiences with a high-fidelity wireless building energy auditing network. In SenSys. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Aman Kansal, Jason Hsu, Sadaf Zahedi, and Mani B. Srivastava. 2007. Power management in energy harvesting sensor networks. ACM Transction on Embedded Computer Systems 6, 4 (2007), 1539--9087. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. L. Xie, Y. Gu, A. Eskandari, and M. Ehsani. 2012. Fast MPC-based coordination of wind power and battery energy storage systems. Journal of Energy Engineering 138, 2, 43--53. Google ScholarGoogle ScholarCross RefCross Ref
  16. D. M. Larruskain, I. Zamora, A. J. Mazn, O. Abarrategui, and J. Monasterio. 2005. Transmission and distribution networks: AC versus DC. In 9th Spanish-Portuguese Congress on Electrical Engineering.Google ScholarGoogle Scholar
  17. Vijay Mann, Avinash Kumar, Partha Dutta, and Shivkumar Kalyanaraman. 2011. VMFlow: Leveraging VM mobility to reduce network power costs in data centers. In NETWORKING 2011. Springer, 198--211. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. M. D. Ilic, L. Xie, and J. Joo. 2011a. Efficient coordination of wind power and price-responsive demand Part I: Theoretical foundations. IEEE Transactions on Power Systems 26, 4, 1875--1884. Google ScholarGoogle ScholarCross RefCross Ref
  19. M. D. Ilic, L. Xie, and J. Joo. 2011b. Efficient coordination of wind power and price-responsive demand PartII: Case studies. IEEE Transactions on Power Systems 26, 4, 1885--1893. Google ScholarGoogle ScholarCross RefCross Ref
  20. A. Mishra, D. Irwin, P. Shenoy, J. Kurose, and T. Zhu. 2012. SmartCharge: Cutting the electricity bill in smart homes with energy storage. In e-Energy. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. State of California. 2009. State of California Executive Order S-21-09. Retrieved from https://www.gov.ca.gov/news.php?id=13269.Google ScholarGoogle Scholar
  22. Lei Rao, Xue Liu, M. D. Ilic, and Jie Liu. 2012. Distributed coordination of internet data centers under multiregional electricity markets. Proceedings of the IEEE 100, 1 (2012), 269--282. Google ScholarGoogle ScholarCross RefCross Ref
  23. Lei Rao, Xue Liu, Le Xie, and Wenyu Liu. 2010. Minimizing electricity cost: Optimization of distributed internet data centers in a multi-electricity-market environment. In INFOCOM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Lei Rao, Xue Liu, Le Xie, and Wenyu Liu. 2012. Coordinated energy cost management of distributed internet data centers in smart grid. IEEE Transactions on Smart Grid 3, 1 (2012), 50--58. Google ScholarGoogle ScholarCross RefCross Ref
  25. James Rose and Shaun Chapman. 2009. Freeing the Grid: Best and Worst Practices in State Net Metering Policies and Interconnection Procedures. Retrieved from http://www.newenergychoices.org/uploads/FreeingTheGrid2009.pdf.Google ScholarGoogle Scholar
  26. S. M. Schoenung. 2011. Energy storage systems cost update {A study for the DOE energy storage systems program}. Tech. Rep. SAND2011-2730, Sandia National Laboratories.Google ScholarGoogle ScholarCross RefCross Ref
  27. N. Sharma, J. Gummeson, D. Irwin, and P. Shenoy. 2010. Cloudy computing: Leveraging weather forecasts in energy harvesting sensor systems. In SECON.Google ScholarGoogle Scholar
  28. S. Sojoudi and S. H. Low. 2011. Optimal charging of plug-in hybrid electric vehicles in smart grids. In Proceedings of the 2011 IEEE Power and Energy Society General Meeting. Google ScholarGoogle ScholarCross RefCross Ref
  29. SERC: State Environmental Resource Center. 2011. ISSUE: NET METERING. Retrieved from http://www.serconline.org/netmetering/stateactivity.html.Google ScholarGoogle Scholar
  30. T. Zhu, A. Mishra, D. Irwin, N. Sharma, P. Shenoy, and D. Towsley. 2011. The case for efficient renewable energy management for smart homes. In ACM BuildSys. Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. Narseo Vallina-Rodriguez, Pan Hui, Jon Crowcroft, and Andrew Rice. 2010. Exhausting battery statistics: Understanding the energy demands on mobile handsets. In Proceedings of the 2nd ACM SIGCOMM Workshop on Networking, Systems, and Applications on Mobile Handhelds. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. Jianguo Yao, Xue Liu, Wenbo He, and Ashikur Rahman. 2012. Dynamic control of electricity cost with power demand smoothing and peak shaving for distributed internet data centers. In ICDCS. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Minimizing Transmission Loss in Smart Microgrids by Sharing Renewable Energy

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in

      Full Access

      • Published in

        cover image ACM Transactions on Cyber-Physical Systems
        ACM Transactions on Cyber-Physical Systems  Volume 1, Issue 2
        April 2017
        214 pages
        ISSN:2378-962X
        EISSN:2378-9638
        DOI:10.1145/3015781
        • Editor:
        • Tei-Wei Kuo
        Issue’s Table of Contents

        Copyright © 2016 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 19 December 2016
        • Accepted: 1 April 2016
        • Revised: 1 February 2016
        • Received: 1 June 2015
        Published in tcps Volume 1, Issue 2

        Permissions

        Request permissions about this article.

        Request Permissions

        Qualifiers

        • research-article
        • Research
        • Refereed

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader