Volume 20, Issue 4 (JIAEEE Vol.20 No.4 2023)
Journal of Iranian Association of Electrical and Electronics Engineers 2023, 20(4): 65-77 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Amirpour P, Jannati M, Najafi Ravadanegh S. Dynamic Programming of Resilient Smart Distribution Network Expansion Planning against Cyber-Attacks on end-user customers. Journal of Iranian Association of Electrical and Electronics Engineers 2023; 20 (4) :65-77
URL: http://jiaeee.com/article-1-1389-en.html
URL: http://jiaeee.com/article-1-1389-en.html
Resilient Smart Grid Research Lab, Azarbaijan Shahid Madani University
Abstract: (1708 Views)
Security of power supply is the energetic driver in advent and so, advance of the smart distribution networks (SDNs). The main goal of the conventional SDN expansion planning (SDNEP) is to eco-reliability supply the incremental annual demand by providing an optimal timetable for the sites and sizes of either pre-existed equipment to be expanded or new ones to be installed. Also, it gives a solution to well-operate the expanded network. SDN expansion planning (SDNEP) is to identify a cost-effective timetable for the sites and sizes of either pre-existed equipment to be replaced/reinforced or new ones to be installed in order to supply the increasing electricity load while responding to all the technical and operational constraints and requirements. In SDNs, despite the communication system plays a vital role, but, cyber-physical security of these systems exceedingly vulnerable to cyber-attacks (CAs), especially in the consumer's section. So, this paper suggests an approach for designing cyber-secure SDN (CSDN) by posing the problem as a dynamic modeling of tri-level cyber-secure SDNEP (CSDNEP) program. To evaluate the effectiveness of CSDNEP, computer simulation is done on a large scale SDN and the results are discussed.
Type of Article: Research |
Subject:
Power
Received: 2021/10/26 | Accepted: 2023/04/8 | Published: 2023/08/6
Received: 2021/10/26 | Accepted: 2023/04/8 | Published: 2023/08/6
Extended Abstract [PDF 254 KB] (42 Download)
References
1. [1] Vahidinasab, Vahid, Mahdi Tabarzadi, Hamidreza Arasteh, Mohammad Iman Alizadeh, Mohammad Mohammad Beigi, Hamid Reza Sheikhzadeh, Kamyar Mehran, and Mohammad Sadegh Sepasian. "Overview of Electric Energy Distribution Networks Expansion Planning." IEEE Access 8 (2020): 34750-34769. [DOI:10.1109/ACCESS.2020.2973455]
2. [2] Sajad Najafi-Ravadanegh, Mohammad-Reza Jannati-Oskuee, Masoumeh Karimi and Hasan Hedayati, "Electric Power Infrastructure Resilience (in Farsi)", Azarbaijan Shahid Madani University, 2020, ISSN: 0-05-6737-622-978
3. [3] K. Kenneth, O. Vitalice and L. Kibet, Cyber security challenges for IoT-based smart grid networks, international journal of critical infrastructure protection, 25, pp.36-49, 2019. [DOI:10.1016/j.ijcip.2019.01.001]
4. [4] Paterakis, N.G.; Erdinç, O.; Catalão, J.P.S. An overview of Demand Response: Key-elements and international experience. Renew. Sustain. Energy Rev. 2017, 69, 871-891. [DOI:10.1016/j.rser.2016.11.167]
5. [5] Espe, E.; Potdar, V.; Chang, E.; Espe, E.; Potdar, V.; Chang, E. Prosumer Communities and Relationships in Smart Grids: A Literature Review, Evolution and Future Directions. Energies 2018, 11, 2528. [DOI:10.3390/en11102528]
6. [6] Siano, P.; Sarno, D. Assessing the benefits of residential demand response in a real-time distribution energy market. Appl. Energy 2016, 161, 533-551. [DOI:10.1016/j.apenergy.2015.10.017]
7. [7] Y. Chen, S. Kar, J. M. F. Moura, Optimal Attack Strategies Subject to Detection Constraints Against Cyber-Physical Systems, IEEE Transactions on Control of Network Systems, 5(3), pp. 1157 - 1168, 2018 [DOI:10.1109/TCNS.2017.2690399]
8. [8] Sh. Khan, S. E. Madnick, Cyber safety: A System-theoretic Approach to Identify Cyber-vulnerabilities & Mitigation Requirements in Industrial Control Systems, IEEE Transactions on Dependable and Secure Computing, 2021. [DOI:10.1109/TDSC.2021.3093214]
9. [9] L. Guo, J. Ye, L. Du, Cyber-Physical Security of Energy-Efficient Powertrain System in Hybrid Electric Vehicles Against Sophisticated Cyberattacks, IEEE Transactions on Transportation Electrification, 7(2), pp. 636 - 648, 2021 [DOI:10.1109/TTE.2020.3022713]
10. [10] Teixeira, D. Pérez, H. Sandberg, K. Johansson Attack models and scenarios for networked control systems HiCoNS '12: Proceedings of the 1st international conference on High Confidence Networked Systems, pp. 55-64, 2012 [DOI:10.1145/2185505.2185515]
11. [11] P. Amirpour Giglou, S. Najafi Ravadanegh, Defending against false data injection attack on demand response program: A bi-level strategy, Sustainable Energy, Grids and Networks, 27, 2021 [DOI:10.1016/j.segan.2021.100506]
12. [12] Liu, Y., Ning, P., and Reiter, M. K. (2011). False data injection attacks against state
13. estimation in electric power grids. ACM Trans. Inf. Syst. Secur. 14 (1), 1-33.
14. doi:10.1145/1952982.1952995 [DOI:10.1145/1952982.1952995]
15. [13] Zh. Qu, Y. Dong, N. Qu False Data Injection Attack Detection in Power Systems Based on Cyber-Physical Attack Genes, Frontiers in Energy Research 9, 2021 [DOI:10.3389/fenrg.2021.644489]
16. [14] Tan Y, Das AK, Arabshahi P, et al. Distribution systems hardening against natural disasters. IEEE Trans Power Syst 2018;33(6):6849-60. [DOI:10.1109/TPWRS.2018.2836391]
17. [15] Popović, Željko N., Neven V. Kovački, and Dragan S. Popović. "Resilient distribution network planning under the severe windstorms using a risk-based approach." Reliability Engineering & System Safety 204 (2020): 107114. [DOI:10.1016/j.ress.2020.107114]
18. [16] Ma S, Li S, Wang Z, Qiu F. Resilience-oriented design of distribution systems. IEEE Trans Power Syst 2019; 34:2880-91.
https://doi.org/10.1109/TPWRS.2019.2894103 [DOI:10.1109/TPWRS.2019. 2894103.]
19. [17] Shi, Qingxin, Fangxing Li, Mohammed Olama, Jin Dong, Yaosuo Xue, Michael Starke, Chris Winstead, and Teja Kuruganti. "Network reconfiguration and distributed energy resource scheduling for improved distribution system resilience." International Journal of Electrical Power & Energy Systems 124: 106355. [DOI:10.1016/j.ijepes.2020.106355]
20. [18] P. Babahajiani, Q. Shafiee, H. Bevrani, Intelligent demand response contribution in frequency control of multi-area power systems, IEEE Trans. Smart Grid 9 (2) (2018) 1282-1291. [DOI:10.1109/TSG.2016.2582804]
21. [19] Xie S, Hu Z, Zhou D, Li Y, Kong S, Lin W, et al. Multi-objective active distribution networks expansion planning by scenario-based stochastic programming considering uncertain and random weight of network. Appl Energy 2018;219:207-25. [DOI:10.1016/j.apenergy.2018.03.023]
22. [20] Zhang S, Cheng H, Wang D, Zhang L, Li F, Yao L. Distributed generation planning in active distribution network considering demand side management and network reconfiguration. Appl Energy 2018;228:1921-36. [DOI:10.1016/j.apenergy.2018.07.054]
23. [21] Zadsar, M., S. Sina Sebtahmadi, M. Kazemi, S. M. M. Larimi, and M. R. Haghifam. "Two stage risk based decision making for operation of smart grid by optimal dynamic multi-microgrid." International Journal of Electrical Power & Energy Systems 118 (2020): 105791. [DOI:10.1016/j.ijepes.2019.105791]
24. [22] Zadsar, M., S. Sina Sebtahmadi, M. Kazemi, S. M. M. Larimi, and M. R. Haghifam. "Two stage risk based decision making for operation of smart grid by optimal dynamic multi-microgrid." International Journal of Electrical Power & Energy Systems 118 (2020): 105791 [DOI:10.1016/j.ijepes.2019.105791]
25. [23] Asensio M, Meneses de Quevedo P, Munoz-Delgado G, Contreras J. Joint distribution network and renewable energy expansion planning considering demand response and energy storage - Part I: Stochastic Programming Model. IEEE Trans Smart Grid 2018;9(2):655-66.
https://doi.org/10.1109/TSG.2016.2560339 [DOI:10.1109/TSG.2016.2560341]
26. [24] Yodo, Nita, and Tanzina Arfin. "A resilience assessment of an interdependent multi-energy system with microgrids." Sustainable and Resilient Infrastructure (2020): 1-14. [DOI:10.1080/23789689.2019.1710074]
27. [25] Taghizadegan, Navid, Sajad Najafi Ravadanegh, Masoumeh Karimi, and Mohammad Reza Jannati Oskuee. "A Solution Compatible with Cost-Reliability for Multi-Stage Feeder Routing Problem with Considering Uncertainties." IETE Journal of Research 65, no. 4 (2019): 435-445. [DOI:10.1080/03772063.2018.1433077]
28. [26] مقیمی محمود، اکبری پور حسین، امین ناصری محمد رضا، "طراحی سیستم خبره به منظور تشخیص حملههای فیشینگ در بانکداری الکترونیکی"، مجله انجمن مهندسین برق و الکترونیک ایران، جلد 12 شماره 2، 95-104 ، 1395
29. [27] علیزاده، محمد ایمان، غفارپور، رضا، رنجبر، علی محمد، "بهینهسازی سه سطحی مقاوم مشارکت واحدها با هدف تابآوری در سیستم قدرت با نفوذ بالای منابع اتکاناپذیر" ، مجله انجمن مهندسین برق و الکترونیک ایران، جلد 17 شماره 2، 113-121، 1399.
Send email to the article author
| Rights and permissions | |
 |
This Journal is an open access Journal Licensed under the Creative Commons Attribution-NonCommercial 4.0 International License. (CC BY NC 4.0) |
