Assessment of Electricity Demand Response Potential under Consideration of Uncertainties

[1] El-Araby, E. E., & Yorino, N. (2023). A demand side response scheme for enhancing power system security in the presence of wind power. International journal of electrical power and energy systems. Search in Google Scholar

[2] Zaman, M. S. U., Bukhari, S., Hazazi, K., Haider, Z., Haider, R., & Kim, C. H. (2018). Frequency response analysis of a single-area power system with a modified lfc model considering demand response and virtual inertia. Energies, 11(4), 787-. Search in Google Scholar

[3] Liu, W., Li, X., Chen, R., & Zhu, J. (2023). Online emergency demand response mechanism for new power system. Computers and Electrical Engineering. Search in Google Scholar

[4] Takagi, K., Asano, H., & Bando, S. (2018). Economic evaluation of power system flexibility by commercial air conditioner control with large penetration of photovoltaic generation. Electrical Engineering in Japan, 203(4). Search in Google Scholar

[5] Mubbashir, A., Jussi, E., & Matti, L. (2018). Sizing hydrogen energy storage in consideration of demand response in highly renewable generation power systems. Energies, 11(5), 1113. Search in Google Scholar

[6] Song, S., Zhang, W., Lin, Y., & Wang, C. (2023). Thermo-electrical state and demand response potential estimation for power systems with building thermostats. International journal of electrical power and energy systems. Search in Google Scholar

[7] Hajibandeh, Neda, Shafie-Khah, Miadreza, Osorio, & Gerardo, J., et al. (2018). A heuristic multi-objective multi-criteria demand response planning in a system with high penetration of wind power generators. APPLIED ENERGY. Search in Google Scholar

[8] Yu, B., Sun, F., Chen, C., Fu, G., & Hu, L. (2022). Power demand response in the context of smart home application. Energy, 240. Search in Google Scholar

[9] Wu, D., Lian, J., Sun, Y., Yang, T., & Hansen, J. (2017). Hierarchical control framework for integrated coordination between ders and demand response. Electric Power Systems Research, 150(sep.), 45-54. Search in Google Scholar

[10] Morales-Espaa, Germán, Martínez-Gordón, Rafael, & Sijm, J. (2022). Classifying and modelling demand response in power systems. Energy, 242. Search in Google Scholar

[11] Wei, M., Yang, Z., Wang, J., Gao, S., & You, D. (2021). Optimal dispatching method based on actual ramp rates of power generation units for minimising load demand response time. IET Generation Transmission & Distribution(10). Search in Google Scholar

[12] Yan, Q., Lin, H., Zhang, M., Ai, X., Gejirifu, D., & Li, J. (2022). Two-stage flexible power sales optimization for electricity retailers considering demand response strategies of multi-type users. International journal of electrical power and energy systems(May), 137. Search in Google Scholar

[13] Duan, J., Liu, F., Yang, Y., & Jin, Z. (2021). Flexible dispatch for integrated power and gas systems considering power-to-gas and demand response. Energies, 14. Search in Google Scholar

[14] Dadkhah, A., Vahidi, B., Shafie-Khah, M., & Catalo, J. P. S. (2020). Power system flexibility improvement with a focus on demand response and wind power variability. IET Renewable Power Generation, 14(6). Search in Google Scholar

[15] Jordehi, A. R. (2019). Optimisation of demand response in electric power systems, a review. Renewable and Sustainable Energy Reviews, 103, 308-319. Search in Google Scholar

[16] Craig, L. (2017). Demand response is key to uk’s energy future, says power manufacturer. Electrical engineering(Jul/Aug). Search in Google Scholar

[17] Xu, H., Chang, Y., Zhao, Y., & Wang, F. (2023). A new multi-timescale optimal scheduling model considering wind power uncertainty and demand response. International journal of electrical power and energy systems. Search in Google Scholar

[18] Qingshan, X., Yifan, D., & Aixia, Z. (2017). An optimal dispatch model of wind-integrated power system considering demand response and reliability. Sustainability, 9(5), 758. Search in Google Scholar

[19] Fawzy, S., Abd-Raboh, E. E., & Eladl, A. A. (2024). Interactive demand response and dynamic thermal line rating for minimizing the wind power spillage and carbon emissions. Electric Power Systems Research, 232. Search in Google Scholar

[20] Yan, Y., Huang, J., Chen, X., Zhang, Z., & Lin, Z. (2021). Blockchain‐based framework of power demand response in China. IET Renewable Power Generation(11). Search in Google Scholar

[21] Misaghian, M. S., O’Dwyer, C., & Flynn, D. (2022). Fast frequency response provision from commercial demand response, from scheduling to stability in power systems. IET renewable power generation(9), 16. Search in Google Scholar