References
1.Sadeghi, H., Rashidinejad, M., Moeini-Aghtaie, et al. “The energy hub: An extensive survey on the state-of-the-art”, Appl. Therm. Eng., 161, 114071 (2019). https://doi.org/10.1016/j.applthermaleng.2019.114071
2.Moradi, A., Salehi, J., and Ravadanagh, S.N. “Risk-based optimal decision-making strategy of a Power-to-Gas integrated energy-hub for exploitation arbitrage in day-ahead electricity and Natural Gas markets”, Sustain. Energy, Grids Networks, 31, 100781 (2022). https://doi.org/10.1016/j.segan.2022.100781
3.Pazouki, S. and Haghifam, M.-R. “Optimal planning and scheduling of energy hub in presence of wind, storage and demand response under uncertainty”, Int. J. Electr. Power Energy Syst., 80, pp. 219-239 (2016). https://doi.org/10.1016/j.ijepes.2016.01.044
4.Aghamohamadi, M., Mahmoudi, A., Ward, J.K., et al. “Block-coordinate-descent adaptive robust operation of industrial multi-layout energy hubs under uncertainty”, Electr. Power Syst. Res., 212, 108334 (2022). https://doi.org/10.1016/j.epsr.2022.108334
5.Najafi-Ghalelou, A., Khorasany, M., and Razzaghi, R. “Risk-constrained scheduling of energy hubs: A stochastic p-robust optimization approach”, IEEE Syst. J., 16(4), pp. 5787-5798 (2022). https://doi.org/10.1109/JSYST.2022.3143517
6.Rezaee Jordehi, A., Javadi, M.S., Shafie-khah, M., et al. “Information Gap Decision Theory (IGDT)-based robust scheduling of combined cooling, heat and power energy hubs”, Energy, 231, 120918 (2021). https://doi.org/10.1016/j.energy.2021.120918
7.Mokaramian, E., Shayeghi, H., Sedaghati, F., et al. “A CVaR-robust-based multi-objective optimization model for energy hub considering uncertainty and E-fuel energy storage in energy and reserve markets”, IEEE Access, 9, pp. 109447-109464 (2021). https://doi.org/10.1109/ACCESS.2021.3100336
8.Soroudi, A. and Keane, A. “Risk averse energy hub management considering plug-in electric vehicles using information gap decision theory”, Plug in Electric Vehicles in Smart Grids, Energy management Power Systems, 89, pp. 107-127 (2015). https://doi.org/10.1007/978-981-287-302-6_5
9.Ostovar, S., Moeini-Aghtaie, M., and Hadi, M.B. “Flexibility provision of residential energy hubs with demand response applications”, IET Gener. Transm. Distrib., 16, pp. 1668-1679 (2022). https://doi.org/10.1049/gtd2.12392
10.Rakipour, D. and Barati, H. “Probabilistic optimization in operation of energy hub with participation of renewable energy resources and demand response”, Energy, 173, pp. 384-399 (2019). https://doi.org/10.1016/j.energy.2019.02.021
11.Mollahassani-pour, M., Rashidinejad, M., Abdollahi, A., et al. “Demand response resources’ allocation in security-constrained preventive maintenance scheduling via MODM method”, IEEE Syst. J., 11(2), pp. 1196-1207 (2017). https://doi.org/10.1109/JSYST.2015.2424675
12.Sharifi, V., Abdollahi, A., Rashidinejad, M., et al. “Integrated electricity and natural gas demand response in flexibility-based generation maintenance scheduling”, IEEE Access, 10, pp. 76021-76030 (2022). https://doi.org/10.1109/ACCESS.2022.3191781
13.Campbell, A., Goldmeer, J., Healy, T., et al. “Heavy duty gas turbines fuel flexibility”, ASME Turbo Expo 2008: Power for Land, Sea, and Air, pp. 1077-1085 (2008). https://doi.org/10.1115/GT2008-51368
14.International Energy Agency (IEA) “Empowering Variable Renewables – Options for Flexible Electricity Systems”, OECD Publishing, Paris (2009). https://doi.org/10.1787/9789264077201-en
15.Lannoye, E., Flynn, D., and O’Malley, M. “Evaluation of power system flexibility”, IEEE Trans. Power Syst., 27(2), pp. 922-931 (2012). https://doi.org/10.1109/TPWRS.2011.2177280
16.Capasso, A., Falvo, M.C., Lamedica, R., et al. “A new methodology for power systems flexibility evaluation”, 2005 IEEE Russia Power Tech., pp. 1-6 (2005). https://doi.org/10.1109/PTC.2005.4524644
17.Poorvaezi Roukerd, S., Abdollahi, A., and Rashidinejad, M. “Uncertainty-based unit commitment and construction in the presence of fast ramp units and energy storages as flexible resources considering enigmatic demand elasticity”, J. Energy Storage, 29, 101290 (2020). https://doi.org/10.1016/j.est.2020.101290
18.Salman, U.T., Shafiq, S., Al-Ismail, F.S., et al. “A review of improvements in power system flexibility: Implementation, operation and economics”, Electronics, 11(4), 581 (2022). https://doi.org/10.3390/electronics11040581
19.Hadi, M.B., Moeini-Aghtaie, M., Khoshjahan, M., et al. “A comprehensive review on power system flexibility: Concept, services, and products”, IEEE Access, 10, pp. 99257-99267 (2022). https://doi.org/10.1109/ACCESS.2022.3206428
20.Gallego, F., Martín, C., Díaz, M., et al. “Maintaining flexibility in smart grid consumption through deep learning and deep reinforcement learning”, Energy and AI, 13, 100241 (2023). https://doi.org/10.1016/j.egyai.2023.100241
21.Poorvaezi-Roukerd, S., Abdollahi, A., and Peng, W. “Flexibility-constraint integrated resource planning framework considering demand and supply side uncertainties with high dimensional dependencies”, Int. J. Elect. Power Energy Syst., 133, 107223 (2021). https://doi.org/10.1016/j.ijepes.2021.107223
22.Berahmandpour, H., Kuhsari, S.M., and Rastegar, H. “A new approach on development of power system operational flexibility index by combination of generation unit flexibility indices”, AUT Journal of Electrical Engineering, 53(1), pp. 27-40 (2021). https://doi.org/10.22060/eej.2020.18574.5358
23.Correa-Florez, C.A., Michiorri, A., and Kariniotakis, G. “Optimal participation of residential aggregators in energy and local flexibility markets”, IEEE Trans. Smart Grid, 11(2), pp. 1644-1656 (2020). https://doi.org/10.1109/TSG.2019.2941687
24.Sharifi, V., Abdollahi, A., and Rashidinejad, M. “Flexibility-based generation maintenance scheduling in presence of uncertain wind power plants forecasted by deep learning considering demand response programs portfolio”, Int. J. Elect. Power Energy Syst., 141, 108225 (2022). https://doi.org/10.1016/j.ijepes.2022.108225
25.Khodabakhsh, R., Haghifam, M.R., and Sheikh El Eslami, M. “Designing a bi-level flexibility market for transmission system congestion management considering distribution system performance improvement”, Sustain. Energy, Grids Networks, 34, 101000 (2023). https://doi.org/10.1016/j.segan.2023.101000
26.Kamrani, F., Fattaheian-Dehkordi, S., Abbaspour, A., et al. “Flexibility-based operational management of a microgrid considering interaction with gas grid”, IET Gener. Transm. Distrib., 15(19), pp. 2673-2683 (2021). https://doi.org/10.1049/gtd2.12155
27.Azimi, M. and Salami, A. “A new approach on quantification of flexibility index in multi-carrier energy systems towards optimally energy hub management”, Energy, 232, 120973 (2021). https://doi.org/10.1016/j.energy.2021.120973
28.Akbari, E., Mousavi Shabestari, S.F., Pirouzi, S., et al. “Network flexibility regulation by renewable energy hubs using flexibility pricing-based energy management”, Renew. Energy, 206, pp. 295-308 (2023). https://doi.org/10.1016/j.renene.2023.02.050
29.Zhang, X., Shahidehpour, M., Alabdulwahab, A., et al. “Optimal expansion planning of energy hub with multiple energy infrastructures”, IEEE Trans. Smart Grid, 6(5), pp. 2302-2311 (2015). https://doi.org/10.1109/TSG.2015.2390640
30.Mansouri, S.A., Ahmarinejad, A., Ansarian, M., et al. “Stochastic planning and operation of energy hubs considering demand response programs using Benders decomposition approach”, Int. J. Electr. Power Energy Syst., 120, 106030 (2020). https://doi.org/10.1016/j.ijepes.2020.106030
31.Benyaghoob-Sani, A., Sedighizadeh, M., Sedighizadeh, D., et al. “A RA-IGDT model for stochastic optimal operation of a microgrid based on energy hub including cooling and thermal energy storages”, Int. J. Elect. Power Energy Syst., 131, 107092 (2021). https://doi.org/10.1016/j.ijepes.2021.107092
32.Emrani-Rahaghi, P., Hashemi-Dezaki, H., and Hosseini, S.A. “Optimal operation and scheduling of residential energy hubs simultaneously considering optimal sizing of heat storage and battery storage systems”, J. Energy Storage, 44, 103481 (2021). https://doi.org/10.1016/j.est.2021.103481
33.Mohammadi-Ivatloo, B. and Jabari, F. Operation, Planning, and Analysis of Energy Storage Systems in Smart Energy Hubs, Springer, Cham (2018). https://doi.org/10.1007/978-3-319-75097-2
34.Rahgozar, S., Zare Ghaleh Seyyedi, A., and Siano, P. “A resilience-oriented planning of energy hub by considering demand response program and energy storage systems”, J. Energy Storage, 52, 104841 (2022). https://doi.org/10.1016/j.est.2022.104841
35.Tavakoli, A., Karimi, A., and Shafie-khah, M. “Optimal probabilistic operation of energy hub with various energy converters and electrical storage based on electricity, heat, natural gas, and biomass by proposing innovative uncertainty modeling methods”, J. Energy Storage, 51, 104344 (2022). https://doi.org/10.1016/j.est.2022.104344
36.Qu, Z., Xu, C., Yang, F., et al. “Market clearing price-based energy management of grid-connected renewable energy hubs including flexible sources according to thermal, hydrogen, and compressed air storage systems”, J. Energy Storage, 69, 107981 (2023). https://doi.org/10.1016/j.est.2023.107981
37.Rashedi, B. and Askarzadeh, A. “A multi-objective approach for solving transmission expansion planning problem considering wind power uncertainty”, Evol. Intell., 15, pp. 497-511 (2022). https://doi.org/10.1007/s12065-020-00525-2
38.Poorvaezi Roukerd, S., Abdollahi, A., and Rashidinejad, M. “Probabilistic-possibilistic flexibility-based unit commitment with uncertain negawatt demand response resources considering Z-number method”, Int. J. Electr. Power Energy Syst., 113, pp. 71-89 (2019).https://doi.org/10.1016/j.ijepes.2019.05.011