Abstract
This chapter introduces an information-gap decision theory (IGDT)-based robust security-constrained unit commitment (SCUC) modeling of coordinated electricity and natural gas networks for managing uncertainty of wind power production. A comprehensive transmission system of natural gas, which delivers natural gas fuel to natural gas-fired plants, is considered. Mixed-integer nonlinear programming (MINLP) has been used for modeling the proposed method in GAMS software. A six-bus system with a six-node gas transmission network is considered to perform numerical tests and evaluate the performance of the introduced model. The obtained results of the study indicate that the natural gas network constraints and the uncertainty of wind energy production have effect on the daily operation cost of natural gas-fired plants and their participation in energy market.
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References
Heydarian-Forushani, E., Golshan, M. E. H., Shafie-Khah, M., & Siano, P. (2018). Optimal operation of emerging flexible resources considering sub-hourly flexible ramp product. IEEE Transactions on Sustainable Energy, 9, 916–929.
Wang, Q., Wu, H., Florita, A. R., Martinez-Anido, C. B., & Hodge, B.-M. (2016). The value of improved wind power forecasting: Grid flexibility quantification, ramp capability analysis, and impacts of electricity market operation timescales. Applied Energy, 184, 696–713.
Wu, H., Shahidehpour, M., & Al-Abdulwahab, A. (2013). Hourly demand response in day-ahead scheduling for managing the variability of renewable energy. IET Generation, Transmission and Distribution, 7, 226–234.
Mingfei, B., Jilai, Y., Shahidehpour, M., & Yiyun, Y. (2017). Integration of power-to-hydrogen in day-ahead security-constrained unit commitment with high wind penetration. Journal of Modern Power Systems and Clean Energy, 5, 337–349.
Cui, H., Li, F., Hu, Q., Bai, L., & Fang, X. (2016). Day-ahead coordinated operation of utility-scale electricity and natural gas networks considering demand response based virtual power plants. Applied Energy, 176, 183–195.
Henderson, M. (2017). Energy system flexibility: The importance of being Nimble [from the editor]. IEEE Power and Energy Magazine, 15, 4–6.
Klimstra J., & Hotakainen, M. (2011). Smart Power Generation. 4th ed. Helsinki, Finland: Avain Publishers.
U. Energy. (2014). Information Administration, Annual Energy Outlook.
EIA. (2011). Annual Energy Review [Online], Available: http://www.eia.doe.gov/emeu/aer/
Khaligh, V., Oloomi-Buygi, M., Anvari-Moghaddam, A., & Guerrero, J. M. (2018, June 12–15). A leader-follower approach to gas-electricity expansion planning problem. IEEE 18th international conference on Environment and Electrical Engineering and 2nd Industrial and Commercial Power Systems Europe (EEEIC 2018), Palermo, Italy.
Li, T., Eremia, M., & Shahidehpour, M. (2008). Interdependency of natural gas network and power system security. IEEE Transactions on Power Systems, 23, 1817–1824.
Liu, C., Shahidehpour, M., Fu, Y., & Li, Z. (2009). Security-constrained unit commitment with natural gas transmission constraints. IEEE Transactions on Power Systems, 24, 1523–1536.
Alabdulwahab, A., Abusorrah, A., Zhang, X., & Shahidehpour, M. (2015). Stochastic security-constrained scheduling of coordinated electricity and natural gas infrastructures. IEEE Systems Journal, 11, 1674–1683.
Zhang, X., Shahidehpour, M., Alabdulwahab, A., & Abusorrah, A. (2016). Hourly electricity demand response in the stochastic day-ahead scheduling of coordinated electricity and natural gas networks. IEEE Transactions on Power Systems, 31, 592–601.
Alabdulwahab, A., Abusorrah, A., Zhang, X., & Shahidehpour, M. (2015). Coordination of interdependent natural gas and electricity infrastructures for firming the variability of wind energy in stochastic day-ahead scheduling. IEEE Transactions on Sustainable Energy, 6, 606–615.
He, Y., Shahidehpour, M., Li, Z., Guo, C., & Zhu, B. (2017). Robust constrained operation of integrated electricity-natural gas system considering distributed natural gas storage. IEEE Transactions on Sustainable Energy, 9, 1061–1071.
Chuan, H., Tianqi, L., Lei, W., & Shahidehpour, M. (2017). Robust coordination of interdependent electricity and natural gas systems in day-ahead scheduling for facilitating volatile renewable generations via power-to-gas technology. Journal of Modern Power Systems and Clean Energy, 5, 375–388.
Soroudi, A., & Keane, A. (2015). Risk averse energy hub management considering plug-in electric vehicles using information gap decision theory. In Plug in electric vehicles in smart grids (pp. 107–127). Singapore: Springer.
Nazari-Heris, M., Mohammadi-Ivatloo, B., Gharehpetian, G. B., & Shahidehpour, M. (2018). Robust short-term scheduling of integrated heat and power microgrids. IEEE Systems Journal, 99, 1–9.
Nazari-Heris, M., & Mohammadi-Ivatloo, B. (2018). Application of robust optimization method to power system problems. In Classical and recent aspects of power system optimization (pp. 19–32).
Marin, M., Milano, F., & Defour, D. (2017). Midpoint-radius interval-based method to deal with uncertainty in power flow analysis. Electric Power Systems Research, 147, 81–87.
Panigrahi, B. K., Sahu, S. K., Nandi, R., & Nayak, S. (2017, April). Probabilistic load flow of a distributed generation connected power system by two point estimate method. International conference on Circuit, Power and Computing Technologies (ICCPCT) (pp. 1–5), IEEE.
Nazari-Heris, M., Abapour, S., & Mohammadi-Ivatloo, B. (2017). Optimal economic dispatch of FC-CHP based heat and power micro-grids. Applied Thermal Engineering, 114, 756–769.
Zare, K., Moghaddam, M. P., & El Eslami, M. K. S. (2010). Demand bidding construction for a large consumer through a hybrid IGDT-probability methodology. Energy, 35, 2999–3007.
Mohammadi-Ivatloo, B., Zareipour, H., Amjady, N., & Ehsan, M. (2013). Application of information-gap decision theory to risk-constrained self-scheduling of GenCos. IEEE Transactions on Power Systems, 28, 1093–1102.
Moradi-Dalvand, M., Mohammadi-Ivatloo, B., Amjady, N., Zareipour, H., & Mazhab-Jafari, A. (2015). Self-scheduling of a wind producer based on information gap decision theory. Energy, 81, 588–600.
Aghaei, J., Agelidis, V. G., Charwand, M., Raeisi, F., Ahmadi, A., Nezhad, A. E., et al. (2017). Optimal robust unit commitment of CHP plants in electricity markets using information gap decision theory. IEEE Transactions on Smart Grid, 8, 2296–2304.
Nikoobakht, A., & Aghaei, J. (2016). IGDT-based robust optimal utilisation of wind power generation using coordinated flexibility resources. IET Renewable Power Generation, 11, 264–277.
Ahmadi, A., Nezhad, A. E., & Hredzak, B. (2018). Security-constrained unit commitment in presence of Lithium-Ion battery storage units using information-gap decision theory. IEEE Transactions on Industrial Informatics.
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Mirzaei, M.A., Sadeghi-Yazdankhah, A., Nazari-Heris, M., Mohammadi-ivatloo, B. (2019). IGDT-Based Robust Operation of Integrated Electricity and Natural Gas Networks for Managing the Variability of Wind Power. In: Mohammadi-ivatloo, B., Nazari-Heris, M. (eds) Robust Optimal Planning and Operation of Electrical Energy Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-04296-7_8
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DOI: https://doi.org/10.1007/978-3-030-04296-7_8
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