Optimal Energy Management In A Gradual And Controlled Process To Contribute To The Decarbonization Of The Electricity Sector
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Published:
Jul 26, 2022
Keywords:
Decarbonization, Energy management, Micro-grid, Renewable energies, Thermal generation
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Abstract
The energy sector is one of the main actors in the production of greenhouse gases and, therefore, becomes the main sector to be intervened not only environmentally but also technically, a decarbonization process of the energy-producing segment contemplates the disconnection of conventional generation systems that use fossil fuels; in exchange for introducing renewable generation systems capable of meeting the demand that was previously supplied by conventional sources. This research provides a perspective to find decarbonization alternatives seeking to determine an adequate process to introduce renewable generation systems, considering economic factors of fuel spending and the cost of implementing the photovoltaic system. For this, simulations of the power system are carried out to determine the optimal power dispatch, in addition to a linear optimization model to minimize the costs on an annual basis through the optimal selection of the installed power of the renewable generation system. Simulations are performed using Matlab and PowerFactory with an IEEE 13-bar system as the test system.
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Cuji, C., & Galarza, . R. (2022). Optimal Energy Management In A Gradual And Controlled Process To Contribute To The Decarbonization Of The Electricity Sector. Revista Técnica "energía", 19(1), PP. 71–84. https://doi.org/10.37116/revistaenergia.v19.n1.2022.518
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EFICIENCIA ENERGÉTICA
Aviso de Derechos de Autor
La Revista Técnica "energía" está bajo licencia internacional Creative Commons Reconocimiento-NoComercial 4.0.
References
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[3] J. Valencia-calvo and G. Olivar-tost, “Modelo y Simulación de un Mercado de Energías Renovables : Integración de Fuentes de Energías Renovables con el Sistema de Generación Convencional,” no. June, pp. 24–27, 2020.
[4] H. Nezamabadi, P. Nezamabadi, M. Setayeshnazar, and G. B. Gharehpetian, “Participation of virtual power plants in energy market with optimal bidding based on Nash-SFE Equilibrium Strategy and considering interruptible load,” 2011 Proceedings of the 3rd Conference on Thermal Power Plants, CTPP 2011, pp. 3–8, 2011.
[5] G. Morales-Espana and J. Sijm, “Simultaneous reduction of emissions and costs by curtailing renewables in optimal operation of power systems,” IEEE PES Innovative Smart Grid Technologies Conference Europe, vol. 2020-Octob, pp. 1070–1073, 2020, doi: 10.1109/ISGT-Europe47291.2020.9248910.
[6] E. Hooshmand and A. Rabiee, “Robust model for optimal allocation of renewable energy sources, energy storage systems and demand response in distribution systems via information gap decision theory,” IET Generation, Transmission and Distribution, vol. 13, no. 4, pp. 511–520, 2019, doi: 10.1049/iet-gtd.2018.5671.
[7] O. Elma, U. S. Selamogullari, M. Uzunoglu, and E. Ugur, “Carbon emission savings with a renewable energy supplied smart home operation,” Proceedings of 2013 International Conference on Renewable Energy Research and Applications, ICRERA 2013, no. October, pp. 1129–1132, 2013, doi: 10.1109/ICRERA.2013.6749922.
[8] C. Cuji and E. Mediavilla, “Controlador Difuso Para Gestión De La Energía En Un Proceso De Transición De Central De Generación Térmica A Renovables,” Revista Técnica “energía,” vol. 18, no. 2, pp. 61–73, Jan. 2022, doi: 10.37116/revistaenergia.v18.n2.2022.491.
[9] C. Cuji and D. Polanco, “Estimación Del Tiempo De Recuperación De Energía Aplicado En Producción De Hidrogeno Con Fines De Generación Eléctrica,” Revista Técnica “energía,” vol. 18, no. 2, pp. 74–84, Jan. 2022, doi: 10.37116/revistaenergia.v18.n2.2022.492.
[10] M. Beken, B. Hangun, and O. Eyecioglu, “Classification of turkey among european countries by years in terms of energy efficiency, total renewable energy, energy consumption, greenhouse gas emission and energy import dependency by using machine learning,” 8th International Conference on Renewable Energy Research and Applications, ICRERA 2019, pp. 951–956, 2019, doi: 10.1109/ICRERA47325.2019.8996583.
[11] T. S. Ustun, C. Ozansoy, and A. Zayegh, “Recent developments in microgrids and example cases around the world - A review,” Renewable and Sustainable Energy Reviews, vol. 15, no. 8, pp. 4030–4041, 2011, doi: 10.1016/j.rser.2011.07.033.
[12] X. Wang and Z. Lu, “Simulation Research on the Operation Characteristics of a DC Microgrid,” National Key R&D Program of China, vol. 1, no. 1, pp. 3–6, 2016.
[13] J. Cho, H. Kim, Y. Cho, H. Kim, and J. Kim, “Demonstration of a DC Microgrid with Central Operation Strategies on an Island,” 2019 IEEE 3rd International Conference on DC Microgrids, ICDCM 2019, 2019, doi: 10.1109/ICDCM45535.2019.9232893.
[14] N. K. Paliwal and R. K. Rai, “Micro-grid operation during grid connected and Islanding mode using conventional and inverter interfaced source,” 2014 International Conference on Smart Electric Grid, ISEG 2014, pp. 1–6, 2015, doi: 10.1109/ISEG.2014.7005606.
[15] L. Che, M. Shahidehpour, A. Alabdulwahab, and Y. Al-Turki, “Hierarchical coordination of a community microgrid with AC and DC microgrids,” IEEE Transactions on Smart Grid, vol. 6, no. 6, pp. 3042–3051, 2015, doi: 10.1109/TSG.2015.2398853.
[16] S. Abu-Elzait and R. Parkin, “Economic and Environmental Advantages of Renewable-based Microgrids over Conventional Microgrids,” IEEE Green Technologies Conference, vol. 2019-April, pp. 31–34, 2019, doi: 10.1109/GreenTech.2019.8767146.
[17] D. Zhao, N. Zhang, and Y. Liu, “Micro-grid connected/islanding operation based on wind and PV hybrid power system,” 2012 IEEE Innovative Smart Grid Technologies - Asia, ISGT Asia 2012, pp. 1–6, 2012, doi: 10.1109/ISGT-Asia.2012.6303168.
[18] Z. Liu et al., “Typical island micro-grid operation analysis,” China International Conference on Electricity Distribution, CICED, vol. 2016-Septe, no. Ciced, pp. 1–4, 2016, doi: 10.1109/CICED.2016.7575981.
[19] S. Mathy, P. Menanteau, and P. Criqui, “After the Paris Agreement: Measuring the Global Decarbonization Wedges From National Energy Scenarios,” Ecological Economics, vol. 150, no. January, pp. 273–289, 2018, doi: 10.1016/j.ecolecon.2018.04.012.
[20] Y. Li, Z. Lukszo, and M. Weijnen, “Trade-offs between energy-environmental-economic objectives for China’s power decarbonization policies,” 2015 IEEE Eindhoven PowerTech, PowerTech 2015, 2015, doi: 10.1109/PTC.2015.7232804.
[21] C. S. Psomopoulos, K. Kiskira, K. Kalkanis, H. C. Leligou, and N. J. Themelis, “The role of energy recovery from wastes in the decarbonisation efforts of the EU power sector,” IET Conference Publications, vol. 2020, no. CP780, pp. 485–490, 2020, doi: 10.1049/icp.2021.1223.
[22] J. Teremranova and A. Sauhats, “Electrification and Decarbonization Potential Assessment of Latvian Dwellings,” 2020 IEEE 61st Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2020 - Proceedings, 2020, doi: 10.1109/RTUCON51174.2020.9316549.
[23] C. McGarry, S. Galloway, and G. Burt, “Decarbonisation of rural networks within Mainland Scotland: In support of intentional islanding,” IET Conference Publications, vol. 2021, no. CP783, pp. 283–288, 2021, doi: 10.1049/icp.2021.1379.
[24] J. E. M. Mora, “Decarbonization of the power generation system in Central America,” 2019 IEEE 39th Central America and Panama Convention, CONCAPAN 2019, vol. 2019-Novem, pp. 6–9, 2019, doi: 10.1109/CONCAPANXXXIX47272.2019.8976940.
[25] C. S. Psomopoulos, K. Kiskira, K. Kalkanis, H. C. Leligou, and N. J. Themelis, “the Role of Energy Recovery From Wastes in the Decarbonisation Efforts of the Eu Power Sector,” pp. 485–490, 2021, doi: 10.1049/icp.2021.1223.
[26] Z. Li et al., “Decarbonization Dispatching Strategy for Electric Vehicles Based on Life Cycle Analysis,” Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020, 2020, doi: 10.1109/EEEIC/ICPSEurope49358.2020.9160631.
[27] A. M. Brander et al., “Electricity-specific emission factors for grid electricity,” Ecometrica, no. August, pp. 1–22, 2011.
[28] Z. Zhao, C. Fu, C. Wang, and C. J. Miller, “Improvement to the Prediction of Fuel Cost Distributions Using ARIMA Model,” IEEE Power and Energy Society General Meeting, vol. 2018-Augus, pp. 1–5, 2018, doi: 10.1109/PESGM.2018.8585984.
