Principles of Transformation in an Integrated Energy System when Applying the Concept of an Energy Hub
DOI:
https://doi.org/10.22213/2413-1172-2021-3-88-96Keywords:
principles of transformation, energy system, energy hub, integrated energy supply system, conversion efficiencyAbstract
The cost of electricity and heat for the population, enterprises and organizations in Russia has increased several times in recent years. An urgent issue for consumers was the search for opportunities to save money when paying for energy. The heating fee is about a quarter of the total amount of the utility bill. The tariff, the cost of one unit of energy (Gcal/m2) spent on heating a room, increases annually. Accordingly, the amount of expenses for public services in each individual family or organization also increases. The principles of transformation of various forms of energy in an integrated energy system based on the concept of an energy hub are considered. It is proposed to use the capabilities of the MATLAB/Simulink software. The MATLAB/Simulink software library does not contain complex elements with a structure with multiple inputs and multiple outputs. Complex models of energy hub blocks form a special additional library. These models implement such functions as energy storage, energy conversion and summation of various types of energy. There are two types of energy transformation elements presented in the article. An illustrative example is presented that shows the economic effect of converting electricity into heat energy at preferential tariffs during the night period. The calculation of the quantitative potential of electricity for conversion is performed. Studies have shown that a flexible combination of various energy carriers using conversion and storage technologies preserves the potential for various system improvements: the total cost of energy can be reduced, the reliability of the power system is increased, network overload can be reduced, transmission losses are reduced.References
Rose P.K., Neumann F. Hydrogen refueling station networks for heavy-duty vehicles in future power systems. Transportation Research Part D: Transport and Environment, 2020, 83, 102358.
Mohammadi M., Noorollahi Y., Mohammadi-ivatloo B., Hosseinzadeh M., Yousefi H., Khorasani S.T. Optimal management of energy hubs and smart energy hubs - a review. Renewable and Sustainable Energy Reviews, 2018, 89, 33-50.
G Shekhar A., Soeiro T.B., Wu Y., Bauer P. Optimal power flow control in parallel operating ac and dc distribution links. IEEE Transactions on Industrial Electronics, (2020), 68(2), 1695-1706.
Sobhani S.O., Sheykhha S., Azimi M.R., Madleneк R. Two-level distributed demand-side management using the smart energy hub concept. Energy Procedia, 2019, 158, 3052-3063.
Amini K., Momtaz A., Qoreishi E., Amini S., Haddadian S. Monte Carlo Approach Towards Evaluating Random Number Generators Based on Mathematical Schemes Driven from Chua's Circuit. Contemporary Mathematics, 2020.
Mohammadi M., Noorollahi Y., Mohammadi-Ivatloo B., Yousefi H. Energy hub: from a model to a concept - a review. Renewable and Sustainable Energy Reviews, 2017, 80, pp. 1512-1527.
Ordoudis C., Pinson P., Morales J.M. An integrated market for electricity and natural gas systems with stochastic power producers. European Journal of Operational Research, 2019, 272(2), 642-654.
Hashimov A.M., Rahmanov N.R., Ahmedova S.T., Mustafayev A.A. Voltage Stability Problem for GRID with Distribution Generation and Renewable Sources. In Proceedings of the 11th International Conference on Technical and Physical Problems of Electrical Engineering, ICTPE-2015 (Bucharest, Romania), 2015, pp. 159-165.
Conejo A.J., Chen S., Constante G.E. Operations and long-term expansion planning of natural-gas and power systems: a market perspective. Proceedings of the IEEE, 2020. 108(9), 1541-1557.
Kumar P., Brar G.S., Singh L. Energy efficiency evaluation in commercial and residential buildings with demand side management: A review. In 2019 8th International Conference on Power Systems (ICPS), 2019, December, pp. 1-6.
Valinejad J., Marzband M., Korkali M., Xu Y., Al-Sumaiti A.S. Coalition formation of microgrids with distributed energy resources and energy storage in energy market. Journal of Modern Power Systems and Clean Energy, 2020, 8(5), 906-918.
Kloubert M.L., Rehtanz C. Enhancement to the combination of point estimate method and Gram-Charlier Expansion method for probabilistic load flow computations. In 2017 IEEE Manchester PowerTech, 2017, June, pp. 1-6.
Wang J., Zhong H., Ma Z., Xia Q., Kang C. Review and prospect of integrated demand response in the multi-energy system. Applied Energy, 2017, 202, pp. 772-782.
Lim C., Maglio P.P. Data-driven understanding of smart service systems through text mining. Service Science, 2018, 10(2), 154-180.
Beccuti G., Demiray T., Batic M., Tomasevic N., Vranes S. Energy hub modelling and optimisation: an analytical case-study. In 2015 IEEE Eindhoven PowerTech, 2015, June, pp. 1-6.
Yang Y., Li D., Zhang S.J., Xiao Y.H. Optimal design of distributed energy resource systems under large-scale uncertainties in energy demands based on decision-making theory. Thermal Science, 23(2 Part B), 2019, 873-882.
Ghasemi A., Banejad M., Rahimiyan M. Integrated energy scheduling under uncertainty in a micro energy grid. IET Generation, Transmission & Distribution, 2018, 12(12), 2887-2896.
Scheller F., Burgenmeister B., Kondziella H., Kühne S., Reichelt D.G., Bruckner T. Towards integrated multi-modal municipal energy systems: An actor-oriented optimization approach. Applied Energy, 2018, 228, 2009-2023.
Lu S., Gu W., Zhang C., Meng K., Dong Z. Hydraulic-thermal cooperative optimization of integrated energy systems: A convex optimization approach. IEEE Transactions on Smart Grid, 2020, 11(6), pp. 4818-4832.
Ma T., Wu J., Hao L. Energy flow modeling and optimal operation analysis of the micro energy grid based on energy hub. Energy conversion and management, 2017, 133, pp. 292-306.
Ma R., Qin J. Multi-objective optimal power flow of multiple-energy system considering wind power penetration. In 2017 IEEE International Conference on Energy Internet (ICEI), 2017, April. pp. 13-17.
Wang H., Wang H., Haijian Z., Zhu T. Optimization modeling for smart operation of multi-source district heating with distributed variable-speed pumps. Energy, 2017, 138, 1247-1262.
