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Smart Grid for Smart City Activities in the California City of Riverside

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Smart City 360° (SmartCity 360 2016, SmartCity 360 2015)

Abstract

In this paper, we overview various urban smart grid development activities in the City of Riverside in Southern California. Challenges and opportunities as well as potentials for university-industry collaborations are discussed. The following smart grid topics are covered: energy efficiency and demand response, renewable power generation, energy storage, electric vehicles, and monitoring and automation.

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References

  1. Ipakchi, A., Albuyeh, F.: Grid of the future. IEEE Power Energy Mag. 7(2), 52–62 (2009)

    Article  Google Scholar 

  2. Farhangi, H.: The path of the smart grid. IEEE Power Energy Mag. 8(1), 18–28 (2010)

    Article  MathSciNet  Google Scholar 

  3. Geisler, K.: The relationship between smart grids and smart cities. In: IEEE Smart Grid, May 2013

    Google Scholar 

  4. http://quickfacts.census.gov/qfd/states/06/0662000.html

  5. http://www.ncdc.noaa.gov/cdo-web/datatools/normals

  6. http://www.riversideca.gov/utilities/admin-executive.asp

  7. Cortez, E.: Challenges and solutions for large-scale PV integration on RPUS distribution system, March 2015

    Google Scholar 

  8. Riverside Public Utilities: Initial study/Final mitigated negative declaration subtransmission project, July 2009

    Google Scholar 

  9. Loughran, D.S., Kulick, J.: Demand-side management and energy efficiency in the United States. Energy J. 25(1), 19–43 (2004)

    Article  Google Scholar 

  10. Palensky, P., Dietrich, D.: Demand side management: demand response, intelligent energy systems, and smart loads. IEEE Trans. Ind. Inf. 7(3), 381–388 (2011)

    Article  Google Scholar 

  11. Summit blue consulting: evaluation, measurement and verification plans for Riverside Public Utilities, March 2010

    Google Scholar 

  12. Rubinstein, F., Kiliccote, S.: Demand responsive lighting: a scoping study, LBNL-62226, Berkelry, CA (2007)

    Google Scholar 

  13. Raziei, A., Mohsenian-Rad, H.: Optimal demand response capacity of automatic lighting control. In: Proceedings of the IEEE PES Conference on Innovative Smart Grid Technologies (ISGT), Washington, DC, February 2013

    Google Scholar 

  14. Husen, S.A., Pandharipande, A., Tolhuizen, L., Wang, Y., Zhao, M.: Lighting systems control for demand response. In: Proceedings of the IEEE PES Conference on Innovative Smart Grid Technologies, Washington, DC, January 2012

    Google Scholar 

  15. http://www.riversidepublicutilities.com/powerpartners.asp

  16. Mohsenian-Rad, H., Leon-Garcia, A.: Optimal residential load control with price prediction in real-time electricity pricing environments. IEEE Trans. Smart Grid 1(2), 120–133 (2010)

    Article  Google Scholar 

  17. Mahmood, A., Aamir, M., Anis, M.I.: Design and implementation of AMR smart grid system. In: Proceedings of the IEEE Electric Power Conference, Vancouver, BC, October 2008

    Google Scholar 

  18. http://www.riversideca.gov/utilities/elec-provrate.asp

  19. http://www.awea.org/resources/statefactsheets.aspx

  20. http://www.usatoday.com/story/tech/2015/02/10/worlds-largest-solar-plant-california-riverside-county/23159235/

  21. Riverside public utilities: Feed-in Tariff (FIT) for renewable energy generation facilities, January 2011

    Google Scholar 

  22. http://ucrtoday.ucr.edu/19743

  23. United States Department of Energy, The smart grid: an introduction (2010)

    Google Scholar 

  24. National Institute of Standards and Technology: NIST framework and roadmap for smart grid interoperability standards, Release 3.0, September 2014

    Google Scholar 

  25. Byrne, R., Loose, V., Donnelly, M., Trudnowski, D.: Methodology to determine the technical performance and value proposition for grid-scale energy storage systems. Sandia National Lab, Report (2012)

    Google Scholar 

  26. Raziei, A., Hallinan, K.P., Brecha, R.J.: Cost optimization with solar and conventional energy production, energy storage, and real time pricing. In: Proceedings of the IEEE Conference on Innovative Smart Grid Technologies, Washington, DC, February 2014

    Google Scholar 

  27. Lee, J., Jo, J., Choi, S., Han, S.B.: A 10-kW SOFC low-voltage battery hybrid power conditioning system for residential use. IEEE Trans. Energy Convers. 21(2), 575–585 (2006)

    Article  Google Scholar 

  28. Chen, S.X., Gooi, H.B., Wang, M.Q.: Sizing of energy storage for microgrids. IEEE Trans. Smart Grid 3(1), 142–151 (2012)

    Article  Google Scholar 

  29. Sechilariu, M., Wang, B., Locment, F.: Building integrated photovoltaic system with energy storage and smart grid communication. IEEE Trans. Ind. Electr. 60(4), 1607–1618 (2012)

    Article  Google Scholar 

  30. Mohsenian-Rad, H.: Optimal bidding, scheduling, and deployment of battery systems in California day-ahead energy market. Accepted for Publication in IEEE Transaction on Power Systems, February 2015

    Google Scholar 

  31. Mohsenian-Rad, H.: Coordinated price-maker operation of large energy storage systems in nodal energy markets. Accepted for Publication in IEEE Transaction on Power Systems, April 2015

    Google Scholar 

  32. Akhavan-Hejazi, H., Mohsenian-Rad, H.: Optimal operation of independent storage systems in energy and reserve markets with high wind penetration. IEEE Trans. Smart Grid 5(2), 1088–1097 (2014)

    Article  Google Scholar 

  33. http://www.stateoftheair.org/2013/city-rankings/most-polluted-cities.html

  34. http://www.epa.gov/region9/socal/air/index.html

  35. Ohnsman, A.: Californians propel plug-in car sales with 40 % of market, Bloomberg News, September 2014

    Google Scholar 

  36. http://www.hybridcars.com/californians-bought-more-plug-in-cars-than-china-last-year

  37. http://www.kesq.com/news/truth-behind-valley-electric-vehicle-charging-stations/31002754

  38. http://www.city-data.com/county/Riverside_County-CA.html

  39. Nicholas, M.A., Tal, G., Woodjack, J.: California statewide charging assessment model for plug-in electric vehicles: learning from statewide travel surveys. Technical report, University of California at Davis, January 2013

    Google Scholar 

  40. Fernandez, L.P., Enagas, S.A., Roman, T.G.S., Cossent, R., Domingo, C.M., Frias, P.: Assessment of the impact of plug-in electric vehicles on distribution networks. IEEE Trans Power Syst. 26(1), 206–213 (2011)

    Article  Google Scholar 

  41. Clement-Nyns, K., Haesen, E., Driesen, J.: The impact of charging plug-in hybrid electric vehicles on a residential distribution grid. IEEE Trans. Power Syst. 25(1), 371–380 (2009)

    Article  Google Scholar 

  42. Green, R.C., Wang, L., Alam, M.: The impact of plug-in hybrid electric vehicles on distribution networks: a review and outlook. Renew. Sustain. Energy Rev. 15(1), 544–553 (2011)

    Article  Google Scholar 

  43. Akhavan-Hejazi, H., Mohsenian-Rad, H., Nejat, A.: Developing a test data set for electric vehicle applications in smart grid research. In: Proceedings of the IEEE Vehicular Technology Conference, Vancouver, BC, September 2014

    Google Scholar 

  44. Han, S., Han, S.H., Sezaki, K.: Development of an optimal Vehicle-to-grid aggregator for frequency regulation. IEEE Trans. Smart Grid 1(1), 65–72 (2010)

    Article  Google Scholar 

  45. Kumar, P., Kar, I.N.: Implementation of vehicle to grid infrastructure using fuzzy logic controller. In: Proceedings of IEEE Transportation Electrification Conference and Expo, Dearborn, MI, June 2012

    Google Scholar 

  46. Ma, Y.C., Houghton, T., Cruden, A.J., Infield, D.G.: Modeling the benefits of Vehicle-to-grid technology to a power system. IEEE Trans. Power Syst. 27(2), 1012–1020 (2012)

    Article  Google Scholar 

  47. Ota, Y., Taniguchi, H., Nakajima, T., Liyanage, K.M., Baba, J., Yokoyama, A.: Autonomous distributed V2G (Vehicle-to-grid) satisfying scheduled charging. IEEE Trans. Smart Grid 4(1), 559–564 (2012)

    Article  Google Scholar 

  48. Singh, M., Kumar, P., Kar, I.N.: Coordination of multi charging station for electric vehicles and its utilization for vehicle to grid scenario. IEEE Trans. Smart Grid 4(1), 434–442 (2012)

    Google Scholar 

  49. Wu, C., Mohsenian-Rad, H., Huang, J.: Vehicle-to-Aggregator interaction game. IEEE Trans. Smart Grid 4(1), 434–442 (2012)

    Article  Google Scholar 

  50. Kisacikoglu, M.C., Ozpineci, B., Tolbert, L.M.: Examination of a PHEV bidirectional charger system for V2G reactive power compensation. In: Proceedings of the IEEE Applied Power Electronics Conference (APEC), Palm Springs, CA, February 2010

    Google Scholar 

  51. Mitsukuri, Y., Hara, R., Kita, H., Kamiya, E., Hiraiwa, N., Kogure, E.: Voltage regulation in distribution system utilizing electric vehicles and communication. In: Proceedings of the IEEE T&D Conference, May 2012

    Google Scholar 

  52. Wu, C., Mohsenian-Rad, H., Huang, J.: PEV-based reactive power compensation for wind DG units: a Stackelberg game approach. In: Proceedings of IEEE Smart Grid Comm, Taiwan, November 2012

    Google Scholar 

  53. Wu, C., Mohsenian-Rad, H., Huang, J., Jatskevich, J.: PEV-based combined frequency and voltage regulation for smart grid. In: Proceedings of IEEE Conference Innovative Smart Grid Technologies, Washington, DC, January 2012

    Google Scholar 

  54. Wu, C., Akhavan-Hejazi, H., Mohsenian-Rad, H., Huang, J.: PEV-based P-Q control in line distribution networks with high requirement for reactive power compensation. In: Proceedings of the IEEE PES Conference on Innovative Smart Grid Technologies, Washington, DC, February 2014

    Google Scholar 

  55. http://www.powersensorsltd.com/PQube

  56. von Meier, A., Culler, D., McEachern, A., Arghandeh, R.: Micro-synchrophasors for distribution systems. In: Proceedings of IEEE Conference on Innovative Smart Grid Technologies, Washington, DC, February 2012

    Google Scholar 

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Correspondence to Hamed Mohsenian-Rad .

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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Mohsenian-Rad, H., Cortez, E. (2016). Smart Grid for Smart City Activities in the California City of Riverside. In: Leon-Garcia, A., et al. Smart City 360°. SmartCity 360 SmartCity 360 2016 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 166. Springer, Cham. https://doi.org/10.1007/978-3-319-33681-7_26

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  • DOI: https://doi.org/10.1007/978-3-319-33681-7_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33680-0

  • Online ISBN: 978-3-319-33681-7

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