Study on Combined Operation of Gas-electricity Coupling System and Emergency Overload Control Considering the Characteristics of Natural Gas

被引:0
|
作者
Jiao Z. [1 ]
Ma F. [1 ]
Li Z. [1 ]
机构
[1] School of Electrical Engineering, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi Province
关键词
Combined operation; Emergency overload control; Gas network; Power system;
D O I
10.13334/j.0258-8013.pcsee.182559
中图分类号
学科分类号
摘要
The coupling relationship between natural gas networks and power systems is increasingly tight. This paper first analysed two systems with precise mathematical models to model the key components, and simplifies the non-critical components. In the modeling process, restrictions of node pressure, gas well output, pipeline transmission, etc. of the natural gas network were taken into account. Based on the IEEE24-node power system and the Belgian 20-node natural gas network for gas-electric coupling joint operation simulation, an economical optimal scheme for gas-electricity combined operation considering natural gas transmission characteristics was obtained. On the basis of this, then the line overload of the power system was studied. Due to its high ramp rate, the gas turbine output can be quickly adjusted to eliminate the overload of the line, and the user's power consumption is not affected. Based on the gas-electricity coupling model, the optimization scheme was compared from the aspects of rapidity and economy. It is concluded that the insufficient gas quantity will affect the ramp rate of the gas turbine. If it is considered to solve the line overload problem at the fastest speed, it must sacrifice certain economic costs. © 2019 Chin. Soc. for Elec. Eng.
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页码:77 / 83
页数:6
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共 20 条
  • [1] Ma Z., Zhou X., Shang Y., Et al., Exploring the concept, key technologies and development model of energy internet, Power System Technology, 39, 11, pp. 3014-3022, (2015)
  • [2] Dong Z., Zhao J., Wen F., Et al., From smart grid to energy internet: basic concept and research framework, Automation of Electric Power Systems, 38, 15, pp. 1-11, (2014)
  • [3] Krause T., Andersson G., Frohlich K., Et al., Multiple-energy carriers: modeling of production, delivery, and consumption, Proceedings of the IEEE, 99, 1, pp. 15-27, (2010)
  • [4] Xu X., Modelling, simulation, and energy management research for electricity, gas, and heat based micro energy system, (2014)
  • [5] Wang Y., Zeng B., Guo J., Et al., Multi-energy flow calculation method for integrated energy system containing electricity, heat and gas, Power System Technology, 40, 10, pp. 2942-2950, (2016)
  • [6] Wang W., Wang D., Jia H., Et al., Analysis of energy flow optimization in regional electricity- gas-heat integrated energy system considering operational constraints, Proceedings of the CSEE, 37, 24, pp. 7108-7120, (2017)
  • [7] Hu Y., Bie Z., Li G., Et al., Integrated planning of natural gas network and composite power system, Proceedings of the CSEE, 37, 1, pp. 45-53, (2017)
  • [8] Zhang Y., Study on the methods for analyzing combined gas and electricity networks, (2005)
  • [9] Dong X., Yang H., Liu P., Et al., Criterion of accident overload and emergency control, Power System Protection and Control, 44, 21, pp. 165-169, (2016)
  • [10] Ren W., Fang D., Chen J., Et al., Optimal control theory based power system emergency control and its application, Power System Technology, 33, 2, pp. 8-13, (2009)