Back
 EPE  Vol.9 No.4 B , April 2017
A Summary of the Main Contents and Existing Problems in the Study of Multi-Energy Coupling in Energy Internet
Abstract:
Multi-energy flow (MEF) coupling is one of the key features of the energy Internet and integrated energy systems that are different from smart grids. With the increasing coupling of heterogeneous energy flow, the system characteristics of coupling are becoming more and more obvious and more complicated. The modeling, analysis and control methods of traditional single flow systems have not been applied directly. Therefore, it is necessary to study the modeling of multi-energy flow coupling, the power flow analysis, optimization and control method of heterogeneous energy flow, which plays the role of multi-energy flow synergy to avoid the adverse effects of coupling. This paper summarizes the current research situation of energy Internet at home and abroad from the aspects of modeling of multi-energy flow, power flow calculation and optimal dispatching, and analyzes the existing problems in the research of these aspects.
Cite this paper: Li, L. , Li, Y. , Yang, X. , Qu, H. and Zhang, P. (2017) A Summary of the Main Contents and Existing Problems in the Study of Multi-Energy Coupling in Energy Internet. Energy and Power Engineering, 9, 693-702. doi: 10.4236/epe.2017.94B075.
References

[1]   Ma, Z., Zhou, X.X., Shang, Y.W. and Sheng, W.X. (2015) Exploring the Concept, Key Technologies and Development Model of Energy Internet. Power System Technology, 3014-3022.

[2]   Katz, R.H., Culler, D.E., Sanders, S., et al. An Information-Centric Energy Infrastructure: the Berkeley View. (2011) Sustainable Computing: Informatics and Systems, 1, 7-22.

[3]   Geidl, M., Koeppel, G. and Favre-Perrod, P., et al. (2007) Energy Hubs for the Future. IEEE Power and Energy Magazine, 5, 24-30. https://doi.org/10.1109/MPAE.2007.264850

[4]   Ghasemi, A., Hojja, T.M. and Javidi, M.H. (2012) Introducing a New Framework for Management of Future Distribution Networks Using Potentials of Energy Hubs. Smart Grids (ICSG), 2012 2nd Iranian Confe-rence on. IEEE, 1-7.

[5]   Xu, Y., Zhang, J., Wang, W., et al. (2011) Energy Router: Architectures and Functionalities toward Energy Internet. Smart Grid Communications (SmartGridComm), 2011 IEEE International Conference on. IEEE, 31-36. https://doi.org/10.1109/SmartGridComm.2011.6102340

[6]   Corzine, K.A. (2014) Energy Packets Enabling the Energy Internet. Power Systems Conference (PSC), 2014 Clemson University. IEEE, 1-5. https://doi.org/10.1109/PSC.2014.6808106

[7]   Xu, X., Jia, H. and Chiang, H.D., et al. (2015) Dynamic modeling and interaction of Hybrid Natural Gas and Electricity Supply System In Microgrid. IEEE Transactions on Power Systems, 30, 1212-1221. https://doi.org/10.1109/TPWRS.2014.2343021

[8]   Correa-Posada, C.M. and Sanchez-Martin, P. (2015) Integrated Power and Nat-ural Gas Model for Energy Adequacy in Short-Term Operation. IEEE Transactions on Power Systems, 30, 3347-3355. https://doi.org/10.1109/TPWRS.2014.2372013

[9]   Krause, T., Andersson, G., Frohlich, K., et al. Multiple-energy Carriers: Modeling of Production, Delivery, and Consumption. Proceedings of the IEEE, 99, 15-27.

[10]   Huang, G.R., Liu, W.J., Wen, F.S., et al. (2016) Collaborative Planning of Integrated Electricity and Natural Gas Energy Systems with Power-to-Gas Stations. Electric Power Construction, 9, 1-13.https://doi.org/10.1109/jproc.2010.2083610

[11]   Zhang, H., Wen, F.S., Zhang, C., et al. (2016) Operation Strategy for Residential Quarter Energy Hub Considering Energy Demands Uncertainties. Electric Power Construction, 9, 14-21.

[12]   Xu, X., Jin, X., Jia, H., et al. (2015) Hierarchical Management for Integrated Community Energy Systems.Applied Energy, 160, 231-243. https://doi.org/10.1016/j.apenergy.2015.08.134

[13]   Wang, C.S., Hong, B.W., Guo, L.et al. (2013) A General Modeling Method for Optimal Dispatch of Combined Cooling, Heating and Power Microgrid. Proceedings of the CSEE, 33, 26-33.

[14]   Liu, X., Wu, J., Jenkins, N., et al. (2016) Combined Analysis of Electricity and Heat Networks. Applied Energy, 162, 1238-1250. https://doi.org/10.1016/j.apenergy.2015.01.102

[15]   Zhangm, Y.B. (2005) Natural Gas - Power Hybrid System Analysis Method. China Electric Power Research Institute, Beijing.

[16]   Moeini-Aghtaie, M., Abbaspour, A., Fotuhi-Firuzabad, M., et al. (2014) A Decomposed Solution to Multiple-Energy Carriers Optimal Power Flow. IEEE Transactions on Power Systems, 29, 707-716.https://doi.org/10.1109/TPWRS.2013.2283259

[17]   Shabanpour-Haghighi, A. and Seifi, A.R. (2015) Simultaneous Inte-grated Optimal Energy Flow of Electricity, Gas, and Heat. Energy Conversion and Management, 101, 579-591. https://doi.org/10.1016/j.enconman.2015.06.002

[18]   Geidl, M. (2007) Integrated Modeling and Optimization of Multi-Carrier Energy Systems. TU Graz.

[19]   Sun, Q.Y., Zhao, M.Y., Chen, Y. and Ma, D.Z. Optimal Energy Flow of Multiple Energy Systems in Energy Internet. Proceedings of the CSEE, 1-10.

[20]   Xu, X.D., Jia, H.J., Jin, X.L., et al. (2015) Study on Hybrid Heat-Gas-Power Flow Algorithm for Integrated Community Energy System. Proceedings of the CSEE, 35, 3634-3642.

[21]   Pan, Z, Guo, Q. and Sun, H. (2016) Interactions of District Electricity and Heating Systems Considering Time-Scale Characteristics Based on Quasi-Steady Mul-ti-Energy Flow. Applied Energy, 167, 230-243. https://doi.org/10.1016/j.apenergy.2015.10.095

[22]   Pan, Z., Sun H, Guo Q. Tou-based optimal energy management for smart home[C]//Innovative Smart Grid Technologies Europe (ISGT EUROPE), 2013 4th IEEE/PES. IEEE, 2013: 1-5.

[23]   Pan, Z., Guo, Q. and Sun, H. (2015) Impacts of Optimization Interval on Home Energy Scheduling for Thermostatically Controlled Appliances. CSEE Journal of Power and Energy Systems, 1, 90-100. https://doi.org/10.17775/CSEEJPES.2015.00024

[24]   Pirouti, M., Bagdanavicius, A., Ekanayake, J., et al. (2013) Energy Consump-tion and Economic Analyses of A District Heating Network. Energy, 57, 149-159. https://doi.org/10.1016/j.energy.2013.01.065

[25]   Zhou, Z., Zhang, J., Liu, P., et al. (2013) A Two-Stage Stochastic Programming Model for the Optimal Design of Distributed Energy Systems. Applied Energy, 103,135-144. https://doi.org/10.1016/j.apenergy.2012.09.019

[26]   Zhang, Y., Zhang, T., Liu, Y.J., et al. (2016) Stochastic Model Predictive Control for Energy Management Optimization of an Energy Local Network. Proceedings of the CSEE, 36, 3451-3462.

[27]   Yu, B., Wu, L., Lu, X., et al. (2016) Optimal Dispatching Method of Integrated Community Energy System. Electric Power Construction, 1, 70-76.

[28]   Pu, T.J.,Chen, N.S., Wang, X.H., et al. (2016) Application and Architecture of Multi-source Coordinated Optimal Dis-patch for Active Distribution Network. Automation of Electric Power Systems, 1, 003.

[29]   You, Y., Liu, D., Zhong, Q., et al. (2014) Multi-time Scale Cordinated Control of Distributed Generators Based on Active Distribution Network. Automation of Electric Power Systems, 38, 192-198.

 
 
Top