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电-气互联综合能源系统多时段暂态能量流仿真 被引量:60

Multi-period transient energy-flow simulation of integrated power and gas energy system
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摘要 考虑到气网的慢动态特性,研究了电-气互联综合能源系统的多时段暂态能量流仿真,其中电网采用稳态潮流模型,气网采用暂态能量流模型。运用隐式有限差分法将天然气系统暂态能量流方程转化为非线性代数方程组,然后用牛顿法求解以非线性代数方程组描述的综合能源系统的多时段暂态能量流方程。同时,计及了电力系统与天然气系统2个层面的耦合,即燃气轮机与电转气(P2G)技术。最后,基于修改的IEEE 24节点电力系统和比利时20节点天然气系统,计算其多时段暂态能量流。仿真结果表明,在短时间尺度研究中,天然气系统的稳态模型与暂态模型的计算结果存在显著差异。除此之外,还定量评估了P2G对风电消纳的积极影响。 The multi-period transient energy-flow simulation of IPGES(Integrated Power and Gas Energy System) is researched,which adopts the transient energy-flow model for the natural gas system to consider its slow dynamic characteristics while the steady-state power-flow model for the power system. The implicit finite difference method is applied to convert the transient energy-flow equation of natural gas system into the nonlinear algebraic equations and the Newton method is applied to solve the nonlinear algebraic equations which are used to describe the integrated energy system in the multi-period transient energy-flow simulation. The coupling between power system and gas system is considered at two aspects:gas turbine and P2G (Power-to-Gas) technology. The multi-period transient energy-flows are calculated for an IPGES consisting of the modified IEEE 24-bus power system and the Belgian 20-node natural gas system,and the simulative results show there are significant differences between the gas system energy-flows on short-time scale calcu- lated by the steady-state model and those by the transient model. The positive effect of P2G on the wind- power accommodation is quantitatively assessed.
出处 《电力自动化设备》 EI CSCD 北大核心 2017年第6期41-47,共7页 Electric Power Automation Equipment
基金 国家自然科学基金资助项目(51277052)~~
关键词 电-气互联综合能源系统 电力系统 天然气系统 暂态能量流模型 多时段暂态能量流仿真 电转气 风电消纳 integrated power and gas energy system electric power systems natural gas system transient energy-flow model multi-period transient energy-flow simulation power-to-gas wind-power accommodation
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  • 1Jing Dong,Changzheng Liu,Zhenhong Lin.Charging infrastructure planning for promoting battery electric vehicles: An activity-based approach using multiday travel data[J].Transportation Research Part C.2014
  • 2Ashoke Kumar Basu,S.P. Chowdhury,S. Chowdhury,S. Paul.Microgrids: Energy management by strategic deployment of DERs—A comprehensive survey[J].Renewable and Sustainable Energy Reviews.2011(9)
  • 3Yao Liu,Peng Ning,Michael K. Reiter.False data injection attacks against state estimation in electric power grids[J].ACM Transactions on Information and System Security (TISSEC).2011(1)
  • 4Shahidehpour M,Fu Y,Wiedman T.Impact of natural gas infrastructure on electric power systems[J].Proceedings of the IEEE,2005,93(5):1042-1056.
  • 5Martinez-Mares A,Fuerte-Esquivel C R.Integrated energy flow analysis in natural gas and electricity coupled systems[C]//North American Power Symposium (NAPS).Boston,MA:IEEE,2011:1-7.
  • 6Martinez-Mares A,Fuerte-Esquivel C R.A unified gas and power flow analysis in natural gas and electricity coupled networks[J].IEEE Transactions on Power Systems,2012,27(4):2156-2166.
  • 7Unsihuay-Vila C,Marangon-Lima J W,de Souza A C Z,et al.A model to long-term,multiarea,multistage,and integrated expansion planning of electricity and natural gas systems[J].IEEE Transactions on Power Systems,2010,25(2):1154-1168.
  • 8Barati F,Seifi H,Sepasian M S,et al.Multi-period integrated framework of generation,transmission,and natural gas grid expansion planning for large-scale systems[J].IEEE Transactions on Power Systems,2015,30(5):2527-2537.
  • 9Zhang X P,Shahidehpour M,Alabdulwahab A,et al.Optimal expansion planning of energy hub with multiple energy infrastructures[J].IEEE Transactions on Smart Grid,2015,6(5):2302-2311.
  • 10Geidl M,Andersson G.Optimal power flow of multiple energy carriers[J].IEEE Transactions on Power Systems,2007,22(1):145 - 155.

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