Planning of urban distribution network considering the integrated energy supply-side reform

被引：0

作者：

Tian Y. ^{[1
]}

Liao Q. ^{[1
]}

Liu D. ^{[1
]}

Zhu Z. ^{[1
]}

Peng S. ^{[1
]}

Xu Y. ^{[1
]}

机构：

[1] School of Electrical Engineering, Wuhan University, Wuhan, 430072, Hubei Province

来源：

Dianwang Jishu/Power System Technology | 2016年 / 40卷 / 10期

关键词：

Distribution network planning; Integrated energy unit; Supply conversion response; Supply-side reform; Traffic flow;

D O I：

10.13335/j.1000-3673.pst.2016.10.002

中图分类号：

学科分类号：

摘要：

With promotion of supply-side reforms in energy and electricity field, regional integrated energy system comprising electricity, natural gas, heat and transportation will be major trend of future urban distribution networks. In this text, energy hub model is applied to characterize terminal integrated energy unit coupled with power network, natural gas network and traffic network simultaneously. Multi-energy supply conversion response strategy is put forward by making use of energy conversion characteristics. Planning method, considering system construction and operation cost, charging power utility function for slow charging stations and traffic flow benefit function for fast charging stations, is proposed based on terminal integrated energy unit and supply conversion response strategy. Simulation analysis is performed on a regional integrated energy system consisting of IEEE 14-node distribution network, 20-node natural gas network and 25-node traffic network. Results show that two utility functions for charging stations can be used to guarantee satisfaction of charging time and charging site convenience respectively. By adjusting energy supply structure, the proposed supply conversion response strategy can reduce energy costs and optimize operating characteristics without changing load demands. The introduced planning pattern based on terminal integrated energy unit can realize coordinated planning of multiple forms of energy, contributing to higher comprehensive benefit of system construction and operation. © 2016, Power System Technology Press. All right reserved.

引用

页码：2924 / 2933

页数：9

共 23 条

[1]

Cao J., Wang J., Ming Y., Et al., Software-defined information and communication technology for energy internet, Proceedings of the CSEE, 35, 14, pp. 3649-3655, (2015)

[2]

Liu D., Peng S., Liao Q., Et al., Outlook of future integrated distribution system morphology orienting to energy internet, Power System Technology, 39, 11, pp. 3023-3034, (2015)

[3]

Lin W., Su J., Understanding of the supply-side reform from the energy perspective, Price Theory and Practice, 12, pp. 8-11, (2015)

[4]

Zeng M., Zhang X., Wang L., Energy supply side reform promoting based on energy internet thinking, Electric Power Construction, 37, 4, pp. 10-15, (2016)

[5]

Moeini-Aghtaie M., Dehghanian P., Fotuhi-Firuzabad M., Et al., Multiagent genetic algorithm: an online probabilistic view on economic dispatch of energy hubs constrained by wind availability, IEEE Transactions on Sustainable Energy, 5, 2, pp. 699-708, (2014)

[6]

Rastegar M., Fotuhi-Firuzabad M., Lehtonen M., Home load management in a residential energy hub, Electric Power Systems Research, 119, 119, pp. 322-328, (2015)

[7]

Sheikhi A., Rayati M., Bahrami S., Et al., Integrated demand side management game in smart energy hubs, IEEE Transactions on Smart Grid, 6, 2, pp. 675-682, (2015)

[8]

Sheikhi A., Rayati M., Bahrami S., Et al., A cloud computing framework on demand side management game in smart energy hubs, International Journal of Electrical Power & Energy Systems, 64, pp. 1007-1016, (2015)

[9]

Yao W., Zhao J., Wen F., Et al., Coordinated planning for power distribution system and electric vehicle charging infrastructures, Automation of Electric Power Systems, 39, 9, pp. 10-18, (2015)

[10]

Wang H., Wang G., Zhao J., Et al., A data integrity recovery method in real-time database for smart grid, Automation of Electric Power Systems, 37, 13, pp. 63-69, (2013)

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