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8 - Integrated Electric Power and Communications Infrastructure Resilience

Published online by Cambridge University Press:  04 January 2024

Alexis Kwasinski ,
Andres Kwasinski  and
Vaidyanathan Krishnamurthy
Alexis Kwasinski
Affiliation:
University of Pittsburgh
Andres Kwasinski
Affiliation:
Rochester Institute of Technology, New York
Vaidyanathan Krishnamurthy
Affiliation:
University of Pittsburgh
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Summary

Although today’s power grids have their own sensing and control communications infrastructure in dedicated networks operating separate from the publicly used information and communication networks (ICNs), technological advances may lead to more integrated electric power and ICN infrastructures. Some of the motivating technological changes that may act as catalysts for such increased integration of both infrastructures include the need for much higher power supply resilience for ICN sites, development of an “Internet of Things,” and the increased communication needs for electric power devices at users’ homes or at the power distribution level of the grid as part of power systems’ evolution into “smarter” grids. Hence, this chapter explores the implications in terms of resilience of integrated electric power and ICN infrastructures. In particular, the use of integrated power management to facilitate the use of renewable energy sources is discussed. Fundamental concepts about cybersecurity are also presented.

Keywords

Integrated power managementrenewable energy sourcesenergy storage managementtraffic managementvirtual energy storagevirtual power plantscybersecurity
Type
Chapter
Information
Resilience Engineering for Power and Communications Systems
Networked Infrastructure in Extreme Events
 , pp. 423 - 451
Publisher: Cambridge University Press
Print publication year: 2024

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References

Tsoukalas, L. H. and Gao, R., “From Smart Grids to an Energy Internet: Assumptions, Architectures and Requirements,” in Proceedings of DRPT 2008, pp. 94–98.CrossRefGoogle Scholar
Kwasinski, A., “Towards a ‘Power-Net’: Impact of Smart Grids Development for ICT Networks During Critical Events,” in Proceedings of the 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies ISABEL 2010, Rome, Italy, 8 pages, 2010.CrossRefGoogle Scholar
International Telecommunication Union. ITU-T Recommendation G. 1010: End-user multimedia QoS categories, 2001.Google Scholar
International Telecommunication Union. ITU-T Recommendation G. 1030: estimating end-to-end performance in IP networks for data applications, 2005.Google Scholar
International Telecommunication Union. ITU-T Recommendation P.800.1: Mean Opinion Score (MOS) terminology, 2003.Google Scholar
International Telecommunication Union. ITU-T Recommendation P.10/G.100: Vocabulary and effects of transmission parameters on customer opinion of transmission quality, amendment 2, 2006.Google Scholar
Egger, S., Hossfeld, T., Schatz, R., and Fiedler, M., “Waiting Times in Quality of Experience for Web Based Services,” 2012 Fourth International Workshop on Quality of Multimedia Experience, Yarra Valley, VIC, pp. 86–96, 2012.CrossRefGoogle Scholar
Aroussi, S., Bouabana-Tebibel, T., and Mellouk, A., “Empirical QoE/QoS Correlation Model Based on Multiple Parameters for VoD Flows,” 2012 IEEE Global Communications Conference (GLOBECOM), Anaheim, CA, pp. 1963–1968, 2012.Google Scholar
Hoßfeld, T., Schatz, R., Biersack, E., and Plissonneau, L., “Internet Video Delivery in YouTube: From Traffic Measurements to Quality of Experience,” in Data Traffic Monitoring and Analysis, Springer, Berlin, pp. 264–301, 2013.CrossRefGoogle Scholar
Takahashi, A., Yoshino, H., and Kitawaki, N., “Perceptual QoS assessment technologies for VoIP.” IEEE Communications Magazine, vol. 42, no. 7, pp. 28–34, July 2004.CrossRefGoogle Scholar
Sun, L. and Ifeachor, E. C., “Voice quality prediction models and their application in VoIP networks.” IEEE Transactions on Multimedia, vol. 8, no. 4, pp. 809–820, Aug. 2006.Google Scholar
Khan, S., Duhovnikov, S., Steinbach, E., Sgroi, M., and Kellerer, W., “Application-Driven Cross-layer Optimization for Mobile Multimedia Communication Using a Common Application Layer Quality Metric,” in Proceedings of the 2006 International Conference on Wireless Communications and Mobile Computing, pp. 213–218, 2006.CrossRefGoogle Scholar
Tran, H., Zepernick, H. J., and Phan, H., “On Throughput and Quality of Experience in Cognitive Radio Networks,” 2016 IEEE Wireless Communications and Networking Conference, Doha, pp. 1–5, 2016.CrossRefGoogle Scholar
Habachi, O., Hu, Y., van der Schaar, M., Hayel, Y., and Wu, F., “MOS-based congestion control for conversational services in wireless environments.” IEEE Journal on Selected Areas in Communications, vol. 30, no. 7, pp. 1225–1236, Aug. 2012.CrossRefGoogle Scholar
Thakolsri, S., Cokbulan, S., Jurca, D., Despotovic, Z., and Kellerer, W., “QoE-Driven Cross-layer Optimization in Wireless Networks Addressing System Efficiency and Utility Fairness,” 2011 IEEE GLOBECOM Workshops (GC Workshops), Houston, TX, pp. 12–17, 2011.CrossRefGoogle Scholar
Shehada, M., Thakolsri, S., Despotovic, Z., and Kellerer, W., “QoE-based Cross-Layer Optimization for Video Delivery in Long Term Evolution Mobile Networks,” The 14th International Symposium on Wireless Personal Multimedia Communications (WPMC), Brest, pp. 1–5, 2011.Google Scholar
Seppänen, J., Varela, M., and Sgora, A., “An autonomous QoE-driven network management framework.” Journal of Visual Communication and Image Representation, vol. 25, no. 3, pp. 565–577, 2014.CrossRefGoogle Scholar
Deng, X., Gao, Q., Mohammed, S. A. et al., “A QoE-Driven Resource Allocation Strategy for OFDM Multiuser-Multiservice System,” 2014 IEEE International Conference on Computer and Information Technology, Xi’an, pp. 351–355, 2014.CrossRefGoogle Scholar
Gross, J., Klaue, J., Karl, H., and Wolisz, A., “Cross-layer optimization of OFDM transmission systems for MPEG-4 video streaming.” Computer Communications, vol. 27, no. 11, pp. 1044–1055, 2004.CrossRefGoogle Scholar
IEEE Standards Association (IEEE SA), IEEE Guide for Electric Power Distribution Reliability Indices, IEEE Standard 1366–2003, 2003.Google Scholar
Clement-Nyns, K., Haesen, E., and Driesen, J., “The impact of charging plug-in hybrid electric vehicles on a residential distribution grid.” IEEE Transactions on Power Systems, vol. 25, no. 1, pp. 371–380, Feb. 2010.CrossRefGoogle Scholar
Green, R. C., Wang, L., and Alam, M., “The impact of plug-in hybrid electric vehicles on distribution networks: A review and outlook.” Renewable and Sustainable Energy Reviews, vol. 15, no. 1, pp. 544–553, Jan. 2011.CrossRefGoogle Scholar
Fernandez, L. P., San Roman, T. G., Cossent, R., Domingo, C. M., and Frias, P., “Assessment of the impact of plug-in electric vehicles on distribution networks.” IEEE Transactions on Power Systems, vol. 26, no. 1, pp. 206–213, Feb. 2011.CrossRefGoogle Scholar
Vicini, R., Micheloud, O., Kumar, H., and Kwasinski, A., “Transformer and home energy management systems to lessen electrical vehicle impact on the grid.” IET Generation, Transmission & Distribution, vol. 6, no. 12, pp. 1202–1208, Dec. 2012.CrossRefGoogle Scholar
Schneider, K. P., Tuffner, F. K., Fuller, J. C., and Singh, R., “Evaluation of conservation voltage reduction (CVR) on a national level,” Pacific Northwest National Laboratory report. July 2010.CrossRefGoogle Scholar
Wang, Z. and Wang, J., “Review on implementation and assessment of conservation voltage reduction.” IEEE Transactions on Power Systems, vol. 29, no. 3, pp. 1306–1315, May 2014.CrossRefGoogle Scholar
Li, N., Chen, L., and Low, S. H., “Optimal Demand Response Based on Utility Maximization in Power Networks,” in Proceedings of Power and Energy Society General Meeting, pp. 1–8, 2011.CrossRefGoogle Scholar
Medina, J., Muller, N., and Roytelman, I., “Demand response and distribution grid operations: opportunities and challenges.” IEEE Transactions on Smart Grid, vol. 1, no. 2, pp. 193–198, Sept. 2010.CrossRefGoogle Scholar
Hirose, K., Takeda, T., and Fukui, A., “Field Demonstration on Multiple Power Quality Supply System in Sendai, Japan,” in Proceedings of 9th International Conference on Electrical Power Quality and Utilization, pp. 1–6, 2007.Google Scholar
Hirose, K., Takeda, T., and Muroyama, S., “Study on Field Demonstration of Multiple Power Quality Levels System in Sendai,” in Proceedings of the International Telecommunications Energy Conference, pp. 1–8, 2006.CrossRefGoogle Scholar
Hirose, K., Fukui, A., Matsumoto, A. et al., “Development of multiple power quality supply system.” IEEJ Transactions on Electrical and Electronic Engineering, vol. 5, no. 5, pp. 523–530, Sept. 2010.CrossRefGoogle Scholar
Lasseter, R. H., “Microgrids,” in Proceedings of the 2002 IEEE Power Engineering Society Winter Meeting, pp. 1–7, 2002.Google Scholar
Katiraei, F., Iravani, R., Hatziargyriou, N., and Dimeas, A., “Microgrids Management.” IEEE Power and Energy Magazine, vol. 6, no. 3, pp. 56–65, May–June 2008.CrossRefGoogle Scholar
A. Floris, A. Meloni, V. Pilloni, and L. Atzori, , “A QoE-Aware Approach for Smart Home Energy Management,” 2015 IEEE Global Communications Conference (GLOBECOM), San Diego, CA, pp. 1–6, 2015.CrossRefGoogle Scholar
Kwon, Y., Kwasinski, A., and Kwasinski, A., “Coordinated Energy Management in Resilient Microgrids for Wireless Communication Networks.” IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 4, no. 4, pp. 1158–1173, Dec. 2016.CrossRefGoogle Scholar
Kwasinski, A. and Kwasinski, A., “Architecture for Green Mobile Network Powered from Renewable Energy in Microgrid Configuration,” in Proceedings of IEEE Wireless Communications and Networking Conference, Shanghai, China, pp. 1525–3511, Apr. 2013.Google Scholar
Kwasinski, A. and Kwasinski, A., “Increasing sustainability and resiliency of cellular networks infrastructure by harvesting renewable energy.” IEEE Communications Magazine, vol. 53, no. 4, pp. 110–116, Apr. 2015.CrossRefGoogle Scholar
Kwasinski, A. and Kwasinski, A., “Tradeoff between Quality-of-Service and Resiliency: A Mathematical Framework Applied to LTE Networks,” in Second International Workshop on Integrating Communications, Control, and Computing Technologies for Smart Grid (ICT4SG), IEEE International Conference on Communications (ICC), Kuala Lumpur, Malaysia, May 2016.CrossRefGoogle Scholar
Kwasinski, A. and Kwasinski, A., “The Role of Multimedia Source Codecs in Green Cellular Networks,” in IEEE Wireless Communications and Networking Conference (WCNC), Apr. 2016.CrossRefGoogle Scholar
Wang, W., Huangy, P., Hu, P., Na, J., and Kwasinski, A., “Learning in Markov Game for Femtocell Power Allocation with Limited Coordination,” in IEEE Global Communications Conference (Globecom), pp. 348–353, Dec. 2016.CrossRefGoogle Scholar
Hu, R., Kwasinski, A., and Kwasinski, A., “A Mixed Strategy Communication Traffic Shaping Method for Decentralized Energy Management of Cell Sites,” in International Telecommunications Energy Conference (INTELEC), Austin, TX, Oct. 2016.Google Scholar
Kwasinski, A. and Kwasinski, A., “Resiliency in the Sustainability of Distributed Green Data Centers,” in Sixth International Green and Sustainable Computing Conference, Workshop on Energy-efficient Networks of Computers (E2NC), Las Vegas, NV, pp. 1–7, Dec. 2015.CrossRefGoogle Scholar
Kwon, Y., Kwasinski, A., and Kwasinski, A., “Microgrids for Base Stations: Renewable Energy Prediction and Battery Management for Effective State of Charge Control,” in Proceedings of INTELEC 2015, pp. 1–7.CrossRefGoogle Scholar
Kwasinski, A. and Kwasinski, A., “Integrating Cross-layer LTE Resources and Energy Management for Increased Powering of Base Stations from Renewable Energy,” in Proceedings of the 13th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), pp. 498–505, 2015.CrossRefGoogle Scholar
Kwasinski, A. and Kwasinski, A., “Traffic Management for Sustainable LTE Networks,” in IEEE Global Telecommunications Conference (IEEE GLOBECOM), Austin, TX, pp. 2520–2525, 2014.Google Scholar
Kwasinski, A. and Kwasinski, A., “Role of Energy Storage in a Microgrid for Increased Use of Photovoltaic Systems in Wireless Communication Networks,” in Proceedings of IEEE INTELEC 2014, Vancouver, BC, Canada, pp. 1–8, Oct. 2014.CrossRefGoogle Scholar
Kwasinski, A. and Kwasinski, A., “Operational Aspects and Power Architecture Design for a Microgrid to Increase the Use of Renewable Energy in Wireless Communication Networks,” in Proceedings of IEEE International Power Electronics Conference (IPEC) ECCE-Asia, Hiroshima, Japan, pp. 2649–2655, May 2014.Google Scholar
Ortiz, S., Ndoye, M., and Castro-Sitiriche, M., “Satisfaction-based energy allocation with energy constraint applying cooperative game theory.” Energies, vol. 14, no. 5, p. 1485, 2021.CrossRefGoogle Scholar
Federal Communications Commission (FCC), “In the Matter of Improving 911 Reliability: Reliability and Continuity of Communications Networks, Including Broadband Technologies,” Docket FCC 13–158, Dec. 2013.Google Scholar
National 911 Program, “Review of Nationwide 911 Data Collection,” July 2013. www.911.gov.Google Scholar
Kwon, Y., Kwasinski, A., and Kwasinski, A., “Coordinated energy management in resilient microgrids for wireless communication networks.” IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 4, no. 4, pp. 1158–1173, Dec. 2016.CrossRefGoogle Scholar
Hu, R., Kwasinski, A., and Kwasinski, A., “Adaptive Mixed Strategy Load Management in dc Microgrids for Wireless Communications Systems,” in Proceedings of the 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia (IFEEC 2017 – ECCE Asia), Kaohsiung, Taiwan, 8 pages, 2017.CrossRefGoogle Scholar
Song, J., Krishnamurthy, V., Kwasinski, A., and Sharma, R., “Development of a Markov chain based energy storage model for power supply availability assessment of photovoltaic generation plants.” IEEE Transactions on Sustainable Energy, vol. 4, no. 2, pp. 491–500, Apr. 2013.CrossRefGoogle Scholar
Kwasinski, A. and Kwasinski, A., “Resiliency in the Sustainability of Distributed Green Data Centers” in Sixth International Green and Sustainable Computing Conference, Workshop on Energy-efficient Networks of Computers (E2NC), Las Vegas, NV, Dec. 2015.CrossRefGoogle Scholar
Kwasinski, A. and Kwasinski, A., “Tradeoff between Quality-of-Service and Resiliency: A Mathematical Framework Applied to LTE Networks,” in Proceedings of IEEE International Conference on Communication, Kuala Lumpur, Malaysia, pp. 1–6, May 2016.CrossRefGoogle Scholar
Hu, R. and Kwasinski, A., “Energy Management for Isolated Renewable-Powered Microgrids Using Reinforcement Learning and Game Theory,” in Proceedings of the 2020 22nd European Conference on Power Electronics and Applications (EPE’20 ECCE Europe), Sept. 2020.CrossRefGoogle Scholar
Hu, R. and Kwasinski, A., “Energy Management for Microgrids Using a Hierarchical Game-Machine Learning Algorithm,” in Proceedings of the 2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA), Lipetsk, Russian Federation, Nov. 2019.CrossRefGoogle Scholar
Kwasinski, A. and Kwasinski, A., “Increasing Physical Resiliency of Wireless Networks through Virtual Energy Transfer,” IEEE Wireless Communications and Networking Conference, Austin, TX, 2022.CrossRefGoogle Scholar
Bird, S., Achuthan, A., Maatallah, O. A. et al., “Distributed (green) data centers: a new concept for energy, computing, and telecommunications energy for sustainable development.” Energy for Sustainable Development, vol. 19, pp. 83–91, Apr. 2014.CrossRefGoogle Scholar
Park, D. and Walstrom, M., “Cyberattack on Critical Infrastructure: Russia and the Ukrainian Power Grid Attacks,” University of Washington, October 11, 2017. https://jsis.washington.edu/news/cyberattack-critical-infrastructure-russia-ukrainian-power-grid-attacks/, last accessed July 12, 2022.Google Scholar
Council on Foreign Relations, “Compromise of a power grid in eastern Ukraine,” Dec. 2015. www.cfr.org/cyber-operations/compromise-power-grid-eastern-ukraine, last accessed July 12, 2022.Google Scholar
Pagliery, J., “ISIS is attacking the US energy grid (and failing).” CNN-Money, October 16, 2015. https://money.cnn.com/2015/10/15/technology/isis-energy-grid/index.html, last accessed July 12, 2022.Google Scholar
Campbell, R. J., “Cybersecurity Issues for the Bulk Power System.” US Congressional Research Service, Report R43989, ver. 6, June 10, 2015.Google Scholar
Fazzini, K. and DiChristopher, T., “An alarmingly simple cyberattack hit electrical systems serving LA and Salt Lake, but power never went down.” CNBC, May 2, 2019. www.cnbc.com/2019/05/02/ddos-attack-caused-interruptions-in-power-system-operations-doe.html, last accessed July 12, 2022.Google Scholar
Bock, P., Hauet, J.-P., Françoise, R., and Foley, R., “Lessons Learned from a Forensic Analysis of the Ukrainian Power Grid Cyberattack.” ISA Interchange. https://blog.isa.org/lessons-learned-forensic-analysis-ukrainian-power-grid-cyberattack-malware, last accessed July 12, 2022.Google Scholar
Coker, G., Guttman, J., Loscocco, P. et al., “Principles of remote attestation.” International Journal of Information Security, vol. 10, pp. 63–81, Apr. 2011.CrossRefGoogle Scholar
Sun, C.-C., Hahn, A., and Liu, C.-C., “Cyber security of a power grid: state-of-the-art.” International Journal of Electrical Power & Energy Systems, vol. 99, pp. 45–56, July 2018.CrossRefGoogle Scholar
Pasqualetti, F., Dörfler, F., and Bullo, F., “Attack detection and identification in cyber-physical systems – part I: models and fundamental limitations.” arXiv:1202.6144, Feb. 2012.Google Scholar
Flamholz, D. B., “Baiting for Defense against Stealthy Attacks on Cyber-Physical Systems,” M.S. Thesis, Massachusetts Institute of Technology, Cambridge, MA, Feb. 2019.CrossRefGoogle Scholar
Ashok, A., Govindarasu, M., and Wang, J., “Cyber-physical attack-resilient wide-area monitoring, protection, and control for the power grid.” Proceedings of the IEEE, vol. 105, no. 7, pp. 1389–1407, May 2017.CrossRefGoogle Scholar

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