Residential demand response coordination for distribution network reliability enhancement

Document Type : Article

Authors

Department of Electrical Engineering, Center of Excellence in Power System Control and Management, Sharif University of Technology, Tehran, Iran

Abstract

This paper establishes a centralized model to activate residential demand response in order to improve distribution network reliability. The model aims at minimizing the damage cost imposed by load curtailments following occurrence of unexpected events. In this model, distribution system operator (DSO) and responsive customers have already signed a contract authorizing the DSO alters the operation of responsive appliances whenever system reliability is jeopardized. The model addresses consumers’ preferences and guarantees that the operation of appliances is displaced within the bounds defined by the owners. Once an unexpected event occurs, the DSO commits responsive appliances to avoid likely violations in the network operational limits and costly load curtailments. The proposed model is mathematically formulated in the form of mixed integer linear programming (MILP) and its capability is depicted via applying to a real-world distribution network with some residential consumers. The comparison of service reliability indices after and before utilizing demand response potentials illustrates the effectiveness of the model.

Keywords

References

References:
1. Escalera, A., Hayes, B., and Prodanovic, M. "A survey of reliability assessment techniques for modern distribution networks", Renewable and Sustainable Energy Reviews, 91, pp. 344-357 (2018).
2. Ravaghi Ardabili, H.A., Haghifam, M.R., and Abedi, S.M. "A probabilistic reliability-centered maintenance approach for electrical distribution networks", IET Generation, Transmission and Distribution, 15(2), pp. 1070-1080 (2021). DOI: 10.1049/gtd2.12081.
3. Arefi, A., Ledwich, G., Nourbakhsh, G., et al. "A fast adequacy analysis for radial distribution networks considering reconfiguration and DGs", IEEE Transactions on Smart Grid, 11(5), pp. 3896-3909 (2020).
4. Davarzani, S., Pisica, I., Taylor, G.A., et al. "Residential demand response strategies and applications in active distribution network management", Renewable and Sustainable Energy Reviews, 138, pp. 110567- 110609 (2021).
5. Lee, M., Aslam, O., Foster, B., et al. " Assessment of demand response and advanced metering", Federal Energy Regulatory Commission, Tech. Rep. (2013).
6. Todd, D., Caufield, M., Helms, B., et al. "Providing reliability services through demand response: A preliminary evaluation of the demand response capabilities of Alcoa Inc", ORNL/TM, 233, pp. 1-52 (2008).
7. Wang, Y., Rahimi Pordanjani, I., and Xu, W. "An event-driven demand response scheme for power system security enhancement", IEEE Transactions on Smart Grid, 2(1), pp. 23-29 (2011).
8. Safdarian, A., Lehtonen, M., Fotuhi-Firuzabad, M., et al. "Customer interruption cost in smart grids", IEEE Transactions on Power Systems, 29(2), pp. 994-995 (2014).
9. Goel, L., Wu, Q., and Wang, P. "Reliability enhancement of a deregulated power system considering demand response", Proc. IEEE  Power Engineering Society General Meeting, Montreal, Que, pp. 6-11 (2006).
10. Mohagheghi, S., Yang, F., and Falahati, B. "Impact of demand response on distribution system reliability", Proc. IEEE Power Engineering Society General Meeting, San Diego, CA, pp. 1-7 (2011).
11. Safdarian, A., Degefa, M.Z., Lehtonen, M., et al. "Distribution network reliability improvements in presence of demand response", IET Generation, Transmission and Distribution, 8(12), pp. 2027-2035 (2014).
12. Pourghaderi, N., Fotuhi-Firuzabad, M., Kabirifar, M., et al. "Reliability-based optimal bidding strategy of a technical virtual power plant", IEEE Systems Journal, 16(1), pp. 1080-1091 (2021).
13. Safdarian, A., Fotuhi-Firuzabad, M., and Lehtonen, M. "Demand response from residential consumers: potentials, barriers, and solutions", Smart Grids and Their Communication Systems, Springer, Singapore, pp. 255-279 (2019).
14. Moradzadeh, B. and Tomsovic, K. "Two-stage residential energy management considering network operational constraints", IEEE Transactions on Smart Grid, 4(4), pp. 2339-2346 (2013).
15. Zhang, C., Xu, Y., Dong, Z.Y., et al. "Robust coordination of distributed generation and price-based demand response in microgrids", IEEE Transactions on Smart Grid, 9(5), pp. 4236-4247 (2017).
16. Safdarian, A., Fotuhi-Firuzabad, M., and Lehtonen, M. "Optimal residential load management in smart grids: A decentralized framework", IEEE Transactions on Smart Grid, 7(4), pp. 1836-1845 (2015).
17. Safdarian, A., Ali, M., Fotuhi-Firuzabad, M., et al. "Domestic EWH and HVAC management in smart grids: Potential benefits and realization", Electric Power Systems Research., 134, pp. 38-46 (2016). 
18. Chang, T., Alizadeh, M., and Scaglione, A. "Real-time power balancing via decentralized coordinated home energy scheduling", IEEE Transactions on Smart Grid, 4(3), pp. 1490-1504 (2013).
19. de Souza Dutra, M.D. and Alguacil, N. "Optimal residential users coordination via demand response: An exact distributed framework", Applied Energy, 279, pp. 115851-115861 (2020).
20. Kou, X., Li, F., Dong, J., et al. "A distributed energy management approach for residential demand response", 2019 3rd International Conference on Smart Grid and Smart Cities (ICSGSC), pp. 170-175 (2019).
21. Stamminger, R. "Synergy potential of smart appliances", EIE, D2.3 of WP 2 from the Smart-A Project (2008).
22. Kabirifar, M., Pourghaderi, N., Rajaei, A., et al. "Deterministic and probabilistic models for energy management in distribution systems", Handbook of Optimization in Electric Power Distribution Systems, pp. 343-383 (2020).
23. Corchero, C., Cruz-Zambrano, M., and Heredia, F.J. "Optimal energy management for a residential microgrid including a vehicle-to-grid system", IEEE Transactions on Smart Grid, 5(4), pp. 2163-2172 (2014).
24. '2017 National household travel survey, U.S. Transportation Department", [Online]. Available: https://nhts.ornl.gov/assets/2017 nhts summary travel trends.pdf. 
25. Safdarian, A., Fotuhi-Firuzabad, M., and Aminifar, F. "A novel efficient model for power  flow analysis of power systems", Turk. J. Elec. Eng. Comp. Sci., 23(1), pp. 52-66 (2015).
26. Billinton, R. and Allan, R.N., Reliability Evaluation of Power Systems, Plenum, New York (1996).
27. The IBM ILOG CPLEX Website, [Online]. Available: http://www-01.ibm.com/software/commerce/ optimization/cplex-optimizer.
28. Disaggregated load data of case study, [Online]. Available: https://drive.google.com/file/d/1Zrv RzVbKl5Ea HtzfhIFLP8M5g6c1ew89/view? usp=sharing.
29. Ruiz, V. "Standards for the performance and durability assessment of electric vehicle batteries", JRC Technical Reports (2018).
30. Kisacikoglu, M.C., Bedir, A., Ozpineci, B., et al. "PHEV-EV charger technology assessment with an emphasis on V2G operation", Oak Ridge Nat. Lab., Oak Ridge, TN, USA, Tech. Rep. ORNL/TM- 2010/221 (2012).
31. Mongird, K., Viswanathan, V., Alam, J., et al. "2020 grid energy storage technology cost and performance assessment", PNNL Report (2020).
Scientia Iranica
Volume 30, Issue 4 - Serial Number 4
Transactions on Computer Science & Engineering and Electrical Engineering (D)
July and August 2023
Pages 1296-1313

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