PLANNING OF MICRO HYBRID ENERGY NETWORKS BASED ON DYNAMIC OPERATION STRATEGY | Hoa | TNU Journal of Science and Technology

PLANNING OF MICRO HYBRID ENERGY NETWORKS BASED ON DYNAMIC OPERATION STRATEGY

About this article

Received: 21/01/25                Revised: 17/02/25                Published: 19/02/25

Authors

1. Pham Thi Hoa, Nam Dinh University of Technology Education
2. Nghiem Thi Hung Email to author, Nam Dinh University of Technology Education
3. Nguyen Thi Duyen, Nam Dinh University of Technology Education
4. Mai Thi Them, Nam Dinh University of Technology Education

Abstract


This paper presents a planning method for micro energy networks, integrating renewable energy sources such as photovoltaic, wind energy, combined heat and power systems, and energy storage. The proposed optimization approach is developed to minimize operational costs by implementing dynamic operation strategies. Through a variable-step search space method, the optimal power output for each generation unit within the system is determined. The results demonstrate that the model can effectively maintain energy balance throughout different seasons while optimizing operational costs. The study also clarifies the impact of time-based electricity pricing on system performance. Furthermore, it highlights the importance of integrating renewable energy sources into microgrids to enhance sustainability and energy efficiency. The proposed method ensures flexibility and reliability of the operational model under varying load and weather conditions. Overall, this study contributes to advancing renewable energy planning, improving cost efficiency, and developing environmentally friendly energy solutions for future energy systems.

Keywords


Micro energy networks; Hybrid energy; Operation strategy; Energy planning; System optimization; GAMS

References


[1] J. Li, J. Liu, P. Yan, X. Li, and G. Zhou, "Operation optimization of integrated energy system under a renewable energy dominated future scene considering both independence and benefit: A review," Energies, vol. 14, no. 4, 2021, Art. no. 1103.

[2] C. Qin, Q. Yan, and G. He, "Integrated energy systems planning with electricity, heat and gas using particle swarm optimization," Energy, vol. 188, 2019, Art. no. 116044.

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

[4] 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.

[5] R. Li and S. SaeidNahaei, "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.

[6] 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.

[7] X. Zhang, M. Shahidehpour, and A. Alabdulwahab, "Optimal expansion planning of energy hub with multiple energy infrastructures," IEEE Transactions on Smart Grid, vol. 6, no. 99, pp. 2302-2311, 2015.

[8] T. Ha, Y. Zhang, and T. Van, "Energy hub modeling to minimize residential energy costs considering solar energy and BESS," Journal of Modern Power Systems and Clean Energy, vol. 5, no. 3, pp. 389-399, 2017.

[9] K. Darrow, R. Tidball, J. Wang, and A. Hampson, Combined Heat and Power Partnership, U.S. Environmental Protection Agency, USA, 2015.

[10] M. Mohammadi, Y. Noorollahi, and B. Mohammadiivatloo, "Energy hub: From a model to a concept – A review," Renewable & Sustainable Energy Reviews, vol. 80, pp. 1512-1527, 2017.

[11] X. Shen, S. Zhu, and J. Zheng, "Active distribution network planning-operation co-optimization considering the coordination of ESS and DG," Power System Technology, vol. 39, no. 7, pp. 1913-1920, 2015.

[12] Z. Li, F. Zhang, J. Liang, and Z. Yun, "Optimization on microgrid with combined heat and power system," Proceedings of the Chinese Society of Electrical Engineering, vol. 35, no. 14, pp. 3569-3576, July 2015.

[13] J. Aghaei, N. Amjady, A. Baharvandi, and M. A. Akbari, "Generation and transmission expansion planning: MILP–based probabilistic model," IEEE Transactions on Power Systems, vol. 29, no. 4, pp. 1592-1601, 2014.

[14] A. Pham, T. Ha, and D. Pham, “Optimization of Integrated Energy Systems Based on the Energy Hub Model,” TNU Journal of Science and Technology, vol. 226, no. 11, pp. 85-93, 2021.




DOI: https://doi.org/10.34238/tnu-jst.11930

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