Stochastic Assessment of the Renewable–Based Multiple Energy System in the Presence of Thermal Energy Market and Demand Response Program

[1]    M. Budt, D. Wolf, R. Span, and J. Yan, “A review on compressed air energy storage: Basic principles, past milestones and recent developments,” Appl. Energy, vol. 170, pp. 250-268, 2016.

[2]    E. Heydarian-Forushani and H. Aalami, “Multi objective scheduling of utility-scale energy storages and demand response programs portfolio for grid integration of wind power,” J. Oper. Autom. Power Eng., vol. 4, pp. 104-116, 2016.

[3]    K. Afshar and A. Shokri Gazafroudi, “Application of stochastic programming to determine operating reserves with considering wind and load uncertainties,” J. Oper. Autom. Power Eng., vol. 1, pp. 96-109, 2007.

[4]    M. Jadid-Bonab, A. Dolatabadi, B. Mohammadi-Ivatloo, M. Abapour, and S. Asadi, “Risk-constrained Energy Management of PV Integrated Smart Energy Hub in the Presence of Demand Response Program and Compressed Air Energy,” IET Renew. Power Gener., 2019.

[5]    S. Shafiee, H. Zareipour, A. M. Knight, N. Amjady, and B. Mohammadi-Ivatloo, “Risk-constrained bidding and offering strategy for a merchant compressed air energy storage plant,” IEEE Trans. Power Syst., vol. 32, pp. 946-957, 2017.

[6]    E. Drury, P. Denholm, and R. Sioshansi, “The value of compressed air energy storage in energy and reserve markets,” Energy, vol. 36, pp. 4959-4973, 2011.

[7]    A. Mohammadi, M. H. Ahmadi, M. Bidi, F. Joda, A. Valero, and S. Uson, “Exergy analysis of a Combined Cooling, Heating and Power system integrated with wind turbine and compressed air energy storage system,” Energy Conv. Manag., vol. 131, pp. 69-78, 2017.

[8]    E. Yao, H. Wang, L. Wang, G. Xi, and F. Maréchal, “Multi-objective optimization and exergoeconomic analysis of a combined cooling, heating and power based compressed air energy storage system,” Energy Conv. Manag., vol. 138, pp. 199-209, 2017.

[9]    X. Liu, Y. Zhang, J. Shen, S. Yao, and Z. Zhang, “Characteristics of air cooling for cold storage and power recovery of compressed air energy storage (CAES) with inter-cooling,” Appl. Therm. Eng., vol. 107, pp. 1-9, 2016.

[10]  M. Saadat, F. A. Shirazi, and P. Y. Li, “Modeling and control of an open accumulator Compressed Air Energy Storage (CAES) system for wind turbines,” Appl. Energy, vol. 137, pp. 603-616, 2015.

[11]  M. Y. Damavandi, S. Bahramara, M. P. Moghaddam, M.-R. Haghifam, M. Shafie-khah, and J. P. Catalão, “Bi-level approach for modeling multi-energy players' behavior in a multi-energy system,” Proce. IEEE Power Tech, Eindhoven, 2015, pp. 1-6.

[12]  M. Yazdani-Damavandi, N. Neyestani, M. Shafie-khah, J. Contreras, and J. P. Catalao, “Strategic behavior of multi-energy players in electricity markets as aggregators of demand side resources using a bi-level approach,” IEEE Trans. Power Syst., vol. 33, pp. 397-411, 2018.

[13]  P. Sheikhahmadi, S. Bahramara, J. Moshtagh, and M. Y. Damavandi, “A risk-based approach for modeling the strategic behavior of a distribution company in wholesale energy market,” Appl. Energy, vol. 214, pp. 24-38, 2018.

[14]  M. Jadidbonab, M. Vahid-Pakdel, H. Seyedi, and B. Mohammadi-ivatloo, “Stochastic assessment and enhancement of voltage stability in multi carrier energy systems considering wind power,” Int. J. Electr. Power Energy Syst., vol. 106, pp. 572-584, 2019.

[15]  M. T. Hagh, M. Jadidbonab, and M. Jedari, “Control strategy for reactive power and harmonic compensation of three-phase grid-connected photovoltaic system,” CIRED-Open Access Proce. J., vol. 2017, pp. 559-563, 2017.

[16]  M. G. Molina and P. E. Mercado, “Power flow stabilization and control of microgrid with wind generation by superconducting magnetic energy storage,” IEEE Trans. Power Electron., vol. 26, pp. 910-922, 2011.

[17]  M. Abbaspour, M. Satkin, B. Mohammadi-Ivatloo, F. H. Lotfi, and Y. Noorollahi, “Optimal operation scheduling of wind power integrated with compressed air energy storage (CAES),” Renew. Energy, vol. 51, pp. 53-59, 2013.

[18]  A. Dolatabadi, M. Jadidbonab, and B. Mohammadi-ivatloo, “Short-term scheduling strategy for wind-based energy hub: a hybrid stochastic/IGDT approach,” IEEE Trans. Sustain. Energy, vol. 10, no. 1, pp. 438-448, 2019.

[19]  M. Jadidbonab, H. Mousavi-Sarabi, and B. Mohammadi-Ivatloo, “Risk-constrained scheduling of solar-based three state compressed air energy storage with waste thermal recovery unit in the thermal energy market environment,” IET Renew. Power Gener., 2018.

[20]  H. Liang and W. Zhuang, “Stochastic modeling and optimization in a microgrid: A survey,” Energies, vol. 7, pp. 2027-2050, 2014.

[21]  A. Hooshmand, M. H. Poursaeidi, J. Mohammadpour, H. A. Malki, and K. Grigoriads, “Stochastic model predictive control method for microgrid management,” Proce. IEEE PES in Innovative Smart Grid Tech. (ISGT), 2012, pp. 1-7.

[22]  A. Parisio, E. Rikos, and L. Glielmo, “Stochastic model predictive control for economic/environmental operation management of microgrids: An experimental case study,” J. Process Cont., vol. 43, pp. 24-37, 2016.

[23]  W. Su, J. Wang, and J. Roh, “Stochastic energy scheduling in microgrids with intermittent renewable energy resources,” IEEE Trans. Smart Grid, vol. 5, pp. 1876-1883, 2014.

[24]  D. Wang, S. Ge, H. Jia, C. Wang, Y. Zhou, N. Lu, et al., “A demand response and battery storage coordination algorithm for providing microgrid tie-line smoothing services,” IEEE Trans. Sustain. Energy, vol. 5, pp. 476-486, 2014.

[25]  S. A. Pourmousavi and M. H. Nehrir, “Real-time central demand response for primary frequency regulation in microgrids,” IEEE Trans. Smart Grid, vol. 3, pp. 1988-1996, 2012.

[26]  M. Mazidi, A. Zakariazadeh, S. Jadid, and P. Siano, “Integrated scheduling of renewable generation and demand response programs in a microgrid,” Energy Conver. Manag., vol. 86, pp. 1118-1127, 2014.

[27]  A. Rabiee, A. Soroudi, B. Mohammadi-Ivatloo, and M. Parniani, “Corrective voltage control scheme considering demand response and stochastic wind power,”, IEEE Trans. Power Syst., vol. 29, pp. 2965-2973, 2014.

[28]  A. Rabiee, A. Soroudi, B. Mohammadi-Ivatloo, and M. Parniani, “Corrective voltage control scheme considering demand response and stochastic wind power,” IEEE Trans. Power Syst., vol. 29, pp. 2965-2973, 2014.

[29]  H. Heitsch and W. Römisch, “Scenario tree reduction for multistage stochastic programs,” Computational Management Science, vol. 6, pp. 117-133, 2009.

[30]  H. Safaei and D. W. Keith, “Compressed air energy storage with waste heat export: An Alberta case study,” Energy Convers. Manag., vol. 78, pp. 114-124, 2014.

[31]  S. Wen, H. Lan, Q. Fu, C. Y. David, and L. Zhang, “Economic allocation for energy storage system considering wind power distribution,” IEEE Trans. Power Syst., vol. 30, pp. 644-652, 2015.

[32]  H. Ren and W. Gao, “A MILP model for integrated plan and evaluation of distributed energy systems,” Appl. Energy, vol. 87, pp. 1001-1014, 2010.

[33]  “GAMS User Guide,” 2008. [Online]. Available: http://www.gams.com/

[34]  A. Dolatabadi, B. Mohammadi-ivatloo, M. Abapour, and S. Tohidi, “Optimal Stochastic Design of Wind Integrated Energy Hub,” IEEE Trans. Ind. Inf., 2017.