Research status and Prospect of integrated energy system collaborative control based on energy Internet

Peng Ye; Keming Qu; Feng Sun; Mingli Zhang; Na Zhang

doi:10.1051/e3sconf/202125702010

All issues

Volume 257 (2021)

E3S Web Conf., 257 (2021) 02010

References

Open Access

Issue		E3S Web Conf. Volume 257, 2021 5^th International Workshop on Advances in Energy Science and Environment Engineering (AESEE 2021)


Article Number		02010
Number of page(s)		4
Section		Research on Energy Consumption and Energy Industry Benefit
DOI		https://doi.org/10.1051/e3sconf/202125702010
Published online		12 May 2021

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Antunes C H, Martins A G, Brito I S. A multiple objective mixed integer linear programming model for power generation expansion planning[J]. Energy, 2004, 29(4): 613-627. [Google Scholar]
Chakraborty M, Gupta S. Fuzzy mathematical programming for multi objective linear fractional programming problem[J]. Fuzzy sets and systems, 2002, 125(3): 335-342. [Google Scholar]
Zhu H, Huang W W, Huang G H. Planning of regional energy systems: An inexact mixed-integer fractional programming model[J]. Applied Energy, 2014, 113: 500-514. [Google Scholar]
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[1] Wang J J, Jing Y Y, Zhang C F. Optimization of capacity and operation for CCHP system by genetic algorithm[J]. Applied Energy, 2010, 87(4): 1325-1335. [Google Scholar]

[2] Carvalho M, Serra L M, Lozano M A. Optimal synthesis of trigeneration systems subject to environmental constraints[J]. Energy, 2011, 36(6): 3779-3790. [CrossRef] [Google Scholar]

[3] Zhou Z, Liu P, Li Z, et al. An engineering approach to the optimal design of distributed energy systems in China[J]. Applied Thermal Engineering, 2013, 53(2): 387-396. [Google Scholar]

[4] Rees M, Wu J, Awad B. Steady state flow analysis for integrated urban heat and power distribution networks[C]//2009 44th International Universities Power Engineering Conference (UPEC). Steady state flow analysis for integrated urban heat and power distribution networks[C]//2009 44th International Universities Power Engineering Conference (UPEC) IEEE, 2009: 1-5. [Google Scholar]

[5] Wu T, Yang Q, Bao Z, et al. Coordinated energy dispatching in microgrid with wind power generation and plug-in electric vehicles[J]. IEEE Transactions on Smart Grid, 2013, 4(3): 1453-1463. [Google Scholar]

[6] Khodayar M E, Wu L, Shahidehpour M. Hourly coordination of electric vehicle operation and volatile wind power generation in SCUC[J]. IEEE Transactions on Smart Grid, 2012, 3(3): 1271-1279. [Google Scholar]

[7] Basu A K, Bhattacharya A, Chowdhury S, et al. Planned scheduling for economic power sharing in a CHP-based micro-grid[J]. IEEE Transactions on Power systems, 2011, 27(1): 30-38. [Google Scholar]

[8] Geidl M, Andersson G. Optimal power flow of multiple energy carriers[J]. IEEE Transactions on power systems, 2007, 22(1): 145-155. [Google Scholar]

[9] Li Z, Wu W, Shahidehpour M, et al. Combined heat and power dispatch considering pipeline energy storage of district heating network[J]. IEEE Transactions on Sustainable Energy, 2015, 7(1): 1222. [Google Scholar]

[10] Linares P, Romero C. A multiple criteria decision making approach for electricity planning in Spain: economic versus environmental objectives[J]. Journal of the Operational Research Society, 2000, 51(6): 736-743. [Google Scholar]

[11] Antunes C H, Martins A G, Brito I S. A multiple objective mixed integer linear programming model for power generation expansion planning[J]. Energy, 2004, 29(4): 613-627. [Google Scholar]

[12] Chakraborty M, Gupta S. Fuzzy mathematical programming for multi objective linear fractional programming problem[J]. Fuzzy sets and systems, 2002, 125(3): 335-342. [Google Scholar]

[13] Zhu H, Huang W W, Huang G H. Planning of regional energy systems: An inexact mixed-integer fractional programming model[J]. Applied Energy, 2014, 113: 500-514. [Google Scholar]

[14] Wu D W, Wang R Z. Combined cooling, heating and power: A review[J]. progress in energy and combustion science, 2006, 32(5-6): 459-495. [Google Scholar]