A STUDY ON THE INFLUENCE OF ENERGY PRICE ELASTICITY OF DEMAND ON OPTIMAL OPERATION OF ENERGY HUB | Tùng | TNU Journal of Science and Technology

A STUDY ON THE INFLUENCE OF ENERGY PRICE ELASTICITY OF DEMAND ON OPTIMAL OPERATION OF ENERGY HUB

About this article

Received: 18/03/23                Revised: 23/05/23                Published: 23/05/23

Authors

1. Ha Thanh Tung Email to author, TNU - University of Technology
2. Pham Thi Hong Anh, TNU - University of Information and Communication Technology

Abstract


The energy market plays an important role in the optimal operation of an energy hub (EH) model. Using energy prices as a controllable resource is expected to further encourage optimization of the integration among various forms of energy, such as electricity and natural gas, within the energy center. This paper proposes a generalized linear modeling method for the energy balance equation of EH considering the price elasticity of demand. With the goal of maximizing EH revenue, the optimal operation problem is established based on energy price control and solved using the GAMS (CPLEX) programming language. To determine the effectiveness of the proposed modeling method and analyze the impact of energy prices on regulation (considering different price elasticities on adjusted results), the model is tested through calculations applied within the scope of a very small energy network. The results show that maximizing the profit of EH by fully utilizing the price flexibility of the load is beneficial for reducing the variance and peak-to-valley difference of the load and can lead to further optimization potential of this model.

Keywords


Integrated energy system; Price elasticity of demand; Energy hub; GAMS; Optimal operation

References


[1] A. Q. Huang, M. L. Crow, G. T. Heydt, J. P. Zheng, and S. J. Dale, “The future renewable electric energy delivery and management (FREEDM) system: the energy internet,” Proceedings of the IEEE, vol. 99, no. 1, pp. 133-148, 2011.

[2] S. Zheng, Y. Sun, B. Li, B. Qi, X. Zhang, and F. Li, "Incentive-based integrated demand response for multiple energy carriers under complex uncertainties and double coupling effects," Applied Energy, vol. 283, 2021, Art. no. 116254.

[3] J. Wu, J. Yan, H. Jia, N. Hatziargyriou, N. Djilali, and H. Sun, “Integrated Energy Systems,” Applied Energy, vol. 167, pp.155-157, 2016.

[4] H. J. Jia, D. Wang, X. D. Xu, and X. D. Yu, “Research on Some Key Problems Related to Integrated Energy Systems,” Automation of Electric Power Systems, vol. 39, no. 7, pp. 198-207, 2015.

[5] Y. Wang, J. Zhao, F. Wen, and Y. Xue “Market Equilibrium of Multi-energy System with Power-to-gas Functions,” Automation of Electric Power Systems, vol. 39, no. 21, pp. 1-10, 2015.

[6] M. Geidl, G. Koeppel, P. Favre-Perrod, B, Klockl, G. Andersson, and K. Frohlich, “Energy hubs for the future,” IEEE Power & Energy Magazine, vol. 5, no. 1, pp. 24-30, 2006.

[7] S. Bahrami and F. Safe, “A Financial Approach to Evaluate an Optimized Combined Cooling, Heat and Power System,” Energy & Power Engineering, vol. 05, no. 05, pp. 352-362, 2013.

[8] H. C. Gils, H. Gardian, and J. Schmugge, "Interaction of hydrogen infrastructures with other sector coupling options towards a zero-emission energy system in Germany," Renewable Energy, vol. 180, pp. 140-156, 2021.

[9] R. Li and S. S. Nahaei, "Optimal operation of energy hubs integrated with electric vehicles, load management, combined heat and power unit and renewable energy sources," Journal of Energy Storage, vol. 48, 2022, Art. no. 103822.

[10] P. Mancarella and G. Chicco, “Real-Time Demand Response from Energy Shifting in Distributed Multi-Generation,” IEEE Transactions on Smart Grid, vol. 4, no. 4, pp. 1928-1938, 2013.

[11] S. Pazouki, M. R. Haghifam, and A. Moser, “Uncertainty modeling in optimal operation of energy hub in presence of wind, storage and demand response,” International Journal of Electrical Power & Energy Systems, vol. 61, pp. 335-345, 2014.

[12] S. Bahrami and A. Sheikhi, “From Demand Response in Smart Grid toward Integrated Demand Response in Smart Energy Hub,” IEEE Transactions on Smart Grid, vol. 7, no. 2, pp. 650-658, 2016.

[13] S. P. Karthikeyan, I. J. Raglend, and D. P. Kothari, “A review on market power in deregulated electricity market,” International Journal of Electrical Power & Energy Systems, vol. 48, no. 48, pp. 139-147, 2013.

[14] D. S. Kirschen, G. Strbac, P. Cumperayot, and D. D. P. Mendes, “Factoring the elasticity of demand in electricity prices,” IEEE Transac-tions on Power Systems, vol. 15, no. 2, pp. 612-617, 2000.

[15] Y. He and B. Wang, “Analysis on Response Character-istics of Residential Energy Price in Beijing,” Modern Electric Power, vol. 30, no. 4, pp. 88-94, 2013.

[16] T. B. Bjørner, M. Togeby, and H. H. Jensen, “Industrial companies’ demand for electricity: evidence from a micropanel,” Energy Economics, vol. 23, no. 5, pp. 595-617, 2011.

[17] N. Boogen, S. Datta, and M. Filippini, “Going Beyond Tradition: Estimating Residential Electricity Demand Using an Appliance Index and Energy Services,” SSRN Electronic Journal, vol. 61, pp. 381-386, 2014.

[18] M. R. Bussieck and A. Meeraus, "General algebraic modeling system (GAMS)," in Modeling Languages in Mathematical Optimization, J. Kallrath, (eds), Springer, 2004, pp.137-157.




DOI: https://doi.org/10.34238/tnu-jst.7548

Refbacks

  • There are currently no refbacks.
TNU Journal of Science and Technology
Rooms 408, 409 - Administration Building - Thai Nguyen University
Tan Thinh Ward - Thai Nguyen City
Phone: (+84) 208 3840 288 - E-mail: jst@tnu.edu.vn
Based on Open Journal Systems
©2018 All Rights Reserved