Power Flow Sensitivity Analysis Model with Wide Adaptability for Active Distribution Networks

被引:0
|
作者
Liu Q. [1 ]
Wang S. [1 ]
Ji X. [2 ]
机构
[1] Key Laboratory of the Ministry of Education on Smart Power Grids, Tianjin University, Tianjin
[2] College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao
基金
国家重点研发计划;
关键词
Active distribution network; Branch power; Line loss; Nodal voltage; Sensitivity model;
D O I
10.7500/AEPS20190509002
中图分类号
学科分类号
摘要
The large-scale integration of distributed generations, energy storage systems and flexible loads in the distribution network causes frequent changes in power flows of the distribution network. It is very important for the planning and operation of active distribution networks to build an accurate and concise function model of node injection power and operation parameters. Combined with the radial topology of the distribution network, a power flow sensitivity analysis model with wide adaptability to the change of node injection power is proposed. The proposed model includes a quadratic sensitivity model of nodal power injections to line losses, a linear sensitivity model of nodal power injections to nodal voltages, a quadratic sensitivity model of nodal power injections to branch power. The effectiveness of the sensitivity model applied to the distribution system with weak ring network is analyzed. The IEEE 33-bus distribution system and the IEEE 123-bus distribution system with ring network are used for simulation analysis. The simulation results prove the effectiveness of the proposed sensitivity model. © 2020 Automation of Electric Power Systems Press.
引用
收藏
页码:81 / 88
页数:7
相关论文
共 24 条
  • [1] WANG Chengshan, WANG Dan, ZHOU Yue, Framework analysis and technical challenges to smart distribution system, Automation of Electric Power Systems, 39, 9, pp. 2-9, (2015)
  • [2] WANG Chengshan, LUO Fengzhang, ZHANG Tianyu, Et al., Review on key technologies of smart urban power network, High Voltage Engineering, 42, 7, pp. 2017-2027, (2016)
  • [3] WANG S, HAN L, WU L., Uncertainty tracing of distributed generations via complex affine arithmetic based unbalanced three-phase power flow, IEEE Transactions on Power Systems, 30, 6, pp. 3053-3062, (2015)
  • [4] ZHAO Jingbo, WEI Zhinong, LIU Jiankun, Et al., Linearized dynamic optimal power flow model for power system, Power System Technology, 42, 20, pp. 86-92, (2018)
  • [5] YUAN Shuang, DAI Chaohua, ZHAO Chuan, Et al., Local/global collaborative optimization of reactive power/voltage with multiple heterogeneous energy sources integration, Proceedings of the CSEE, 38, 2, pp. 1006-1015, (2018)
  • [6] DU Peng, MI Zengqiang, JIA Yulong, Et al., Optimal placement and capacity of distributed energy storage in distribution system based on the sensitivity variance of network loss, Power System Protection and Control, 47, 6, pp. 103-109, (2019)
  • [7] KHATOD D K, PANT V, SHARMA J., A novel approach for sensitivity calculations in the radial distribution system, IEEE Transactions on Power Delivery, 21, 4, pp. 2048-2057, (2006)
  • [8] CHRISTAKOU K, BOUDEC J Y L, PAOLONE M, Et al., Efficient computation of sensitivity coefficients of node voltages and line currents in unbalanced radial electrical distribution networks, IEEE Transactions on Smart Grid, 4, 2, pp. 741-750, (2012)
  • [9] BORGHETTI A, BOSETTI M, GRILLO S, Et al., Short-term scheduling and control of active distribution systems with high penetration of renewable resources, IEEE Systems Journal, 4, 3, pp. 313-322, (2010)
  • [10] YE H, WANG J, LI Z., MIP reformulation for max-min problems in two-stage robust SCUC, IEEE Transactions on Power Systems, 32, 2, pp. 1237-1247, (2017)