Technical Papers
Apr 3, 2014

Pressure State Response-Based Method for Evaluating Social Benefits from Smart Grid Development

Publication: Journal of Energy Engineering
Volume 141, Issue 3

Abstract

In this paper, the inherent mechanism of social benefits associated with smart grid development is examined based on the pressure state response (PSR) model from resource economics. The emerging types of technology brought up by smart grid development are regarded as pressures. The improvements of the performance and efficiency of power system operation, such as the enhanced capability of accommodating renewable energy generation, are regarded as states. The effects of smart grid development on society are regarded as responses. Then, a novel method for evaluating social benefits from smart grid development is presented. Finally, the social benefits from smart grid development in a province in northwest China are carried out by using the developed evaluation system, and reasonable evaluation results are attained.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

This work is supported by the National Basic Research Program of China (973 Program, No. 2013CB228202), the National Natural Science Foundation of China (No. 51361130153, No. 51361130152), and a key project from China Gansu Electric Power Corporation (No. 2012101031).

References

China Electric Power Press. (2011). “General principles for calculation of the comprehensive energy consumption.”, Beijing.
China Southern Power Grid. (2010). “Research on strategy and planning of smart grid in China Southern Power Grid.” Guangzhou, China, 〈http://wenku.baidu.com/view/eb4673d784254b35eefd344b.html〉 (May 28, 2013) (in Chinese).
Dong, Q. F., et al. (2012). “Distributed demand and response algorithm for optimizing social-welfare in smart grid.” Int. Parallel and Distributed Processing Symp., IEEE Computer Society, Washington, DC, 1228–1239.
Editorial Board of China Electric Power Yearbook. (2011). China electric power yearbook 2011, China Electric Power, Beijing.
Electric Power Research Institute (EPRI). (2008). “The green grid: Energy savings and carbon emissions reductions enabled by a smart grid.” Palo Alto, CA, 〈http://www.smartgridnews.com/artman/uploads/1/SGNR_2009_EPRI_Green_Grid_June_2008.pdf〉 (May 28, 2013).
Electricity Advisory Committee (EAC). (2008). “Smart grid: Enabler of the new energy economy.” Washington, DC, 〈http://energy.gov/sites/prod/files/oeprod/DocumentsandMedia/final-smart-grid-report.pdf〉 (May 28, 2013).
Electricity Networks Strategy Group (ENSG). (2009). “Electricity networks strategy group: A smart grid vision.” London, U.K., 〈http://webarchive.nationalarchives.gov.uk/20100919181607/http:/www.ensg.gov.uk/assets/ensg_smart_grid_wg_smart_grid_vision_final_issue_1.pdf〉 (May 28, 2013).
Fu, L. W., Zhao, H. R., and Guo, S. (2012). “An analysis on the low-carbon benefits of smart grid of China.” Proc., Int. Conf. on Applied Physics and Industrial Engineering, Elsevier Science, Amsterdam, Netherlands, 328–336.
Gansu Electric Power Corporation. (2010). “Strategy and planning of electric vehicles battery charging and changing stations in Gansu electric power grid of China.” Lanzhou City, China, 〈http://wenku.baidu.com/view/50b62e03eff9aef8941e0683.html〉 (May 28, 2013) (in Chinese).
Han, D., Yan, Z., Song, Y. Q., Sun, Q., and Zhang, Y. B. (2012). “Dynamic assessment method for smart grid based on system dynamics.” Autom. Electr. Power Syst., 36(3), 16–21.
Hu, Z. G., Shan, B. G., Han, X. Y., Xu, M. J., Huang, Q., and Wen, Q. (2010). China’s electricity demand outlook: Simulation experiments based on the study of power supply and demand, China Electric Power, Beijing.
Huang, D. C., Shu, Y. B., and Ruan, J. (2009). “Ultra high voltage transmission in China: Developments, current status and future prospects.” Proc. IEEE, 97(3), 555–583.
Intergovernmental Panel on Climate Change (IPCC). (2007). “2006 IPCC guidelines for national greenhouse gas inventories.” Hayama, Japan, 〈http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html〉 (May 28, 2013).
Jia, W. Z., Kang, C. Q., Liu, C. Y., and Li, M. (2011). “Capability of smart grid to promote low-carbon development and its benefits evaluation model.” Autom. Electr. Power Syst., 35(1), 7–12.
Liang, C., Liu, W. Y., Zhou, X. C., and Dan, Y. Q. (2012). “Analysis on role of 750 kV power network played in loss reduction of Gansu power grid.” Power Syst. Technol., 36(2), 100–103.
Liu, Z. Y. (2010). Smart grid technologies, China Electric Power, Beijing.
Livieratos, S., Vogiatzaki, V. E., and Cottis, P. G. (2013). “A generic framework for the evaluation of the benefits expected from the smart grid.” Energies, 6(2), 988–1008.
Lu, G., and Sun, W. (2013). “Voltage sag source location based on pattern recognition.” J. Energy Eng., 136–141.
McGranaghan, M., and Roettger, B. (2002). “Economic evaluation of power quality.” IEEE Power Eng. Rev., 22(2), 8–12.
Organization for Economic Co-Operation and Development (OECD). (1993). “Core set of indicators for environmental performance.” Paris, France, 〈http://enrin.grida.no/htmls/armenia/soe2000/eng/oecdind.pdf〉 (May 28, 2013).
Pacific Northwest National Laboratory (PNNL). (2010). “The smart grid: An estimation of the energy and CO2 benefits.” Richland, Washington, 〈http://energyenvironment.pnnl.gov/news/pdf/PNNL-19112_Revision_1_Final.pdf〉 (May 28, 2013).
Smith, R., Meng, K., Dong, Z. Y., and Simpson, R. (2013). “Demand response: A strategy to address residential air-conditioning peak load in Australia.” J. Mod. Power Syst. Clean Energy, 1(3), 223–230.
Stadler, M., et al. (2012). “Optimal planning and operation of smart grids with electric vehicle interconnection.” J. Energy Eng., 95–108.
State Grid Corporation of China. (2010). “Vision and strategy for China’s smart grids of the future.” 〈http://wenku.baidu.com/view/5c4fcb67caaedd3383c4d3ca.html〉 (May 28, 2013) (in Chinese).
Tan, Z., Ngan, H. W., Wu, Y., Zhang, H. J., Song, Y. H., and Yu, C. (2013). “Potential and policy issues for sustainable development of wind power in China.” J. Mod. Power Syst. Clean Energy, 1(3), 204–215.
Technology, and Standards in Ministry of Environmental Protection, Department of Science, China. (2003). Industrial pollutants and emission factors manual, China Environmental Science, Beijing.
The Wall Street Journal. (2009). “IBM Chief: IT investment will create jobs.” New York, 〈http://online.wsj.com/article/SB123120010817055565.html〉 (May 28, 2013).
Wei, C., Han, M. X., and Yang, X. (2010). “Analysis on influences of low-carbon economy on load factor of power grid.” Power Syst. Technol., 34(9), 100–104.
Wolfslehner, B., and Vacik, H. (2008). “Evaluating sustainable forest management strategies with the analytic network process in a pressure-state-response framework.” J. Environ. Manage., 88(1), 1–10.
Zhang, X., Song, C., Li, J. Z., and Zheng, M. K. (2011). Loss of hydropower caused by upstream water diversion, Consumer Electronics, Communications and Networks (CECNet), Xianning City, China, 1368–1371.
Zhu, L. B., Sun, S. Q., Chang, L., Wei, G. H., and Lu, Z. G. (2010). “Quantitative relationship between load factor and power loss and application in cost-benefit analysis of TOU.” Power Syst. Prot. Control, 38(17), 43–46.

Information & Authors

Information

Published In

Go to Journal of Energy Engineering
Journal of Energy Engineering
Volume 141Issue 3September 2015

History

Received: Jul 19, 2013
Accepted: Feb 25, 2014
Published online: Apr 3, 2014
Discussion open until: Sep 3, 2014
Published in print: Sep 1, 2015

Permissions

Request permissions for this article.

Authors

Affiliations

Master Student, School of Electrical Engineering, Zhejiang Univ., Hangzhou 310027, China; and Jiangsu Electric Power Company Technician Training Center, Suzhou 215004, China. E-mail: [email protected]
Master Student, School of Electrical Engineering, Zhejiang Univ., Hangzhou 310027, China; and Jiangsu Suzhou Power Supply Company, Suzhou 215004, China. E-mail: [email protected]
Fushuan Wen [email protected]
Professor, School of Electrical Engineering, Zhejiang Univ., Hangzhou 310027, China; and School of Electrical Engineering and Computer Science, Queensland Univ. of Technology, Brisbane, QLD 4001, Australia (corresponding author). E-mail: [email protected]
Gerard Ledwich [email protected]
Professor, School of Electrical Engineering and Computer Science, Queensland Univ. of Technology, Brisbane, QLD 4001, Australia. E-mail: [email protected]
Yusheng Xue [email protected]
Chief Engineer, State Grid Electric Power Research Institute, Nanjing 210003, China. E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share