Optimal pilot-bus selection and network partitioning algorithm considering zonal reactive power balance

被引:0
|
作者
Cui W. [1 ]
Yan W. [1 ]
Wei-Jen L. [2 ]
Zhao X. [1 ]
机构
[1] State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Shapingba District, Chongqing
[2] The University of Texas at Arlington, Arlington, 76019, TX
来源
| 1600年 / Power System Technology Press卷 / 41期
基金
中国国家自然科学基金;
关键词
Control center; Control space; Partitioning algorithm; Pilot-bus;
D O I
10.13335/j.1000-3673.pst.2016.0393
中图分类号
学科分类号
摘要
Considering zonal reactive power balance under multiple load levels and the feature that pilot-bus is considered as control center of secondary voltage control, an optimal pilot-bus selection and network partitioning algorithm is proposed. Its objective is to maximize controllability of reactive source to pilot-bus, controllability of pilot-bus to load buses and minimize effect of pilot-bus on other regions while considering constraints of zonal reactive power balance under multiple load levels. Genetic algorithm based on relative dominant objective strategy is used to solve this multi-objective optimization problem. Based on sensitivity of pilot-bus to load buses, recursive algorithm is utilized to develop pilot-bus control space, representing controllability of pilot-bus to load buses. Case studies based on IEEE 39-bus and IEEE 118-bus systems are provided to illustrate effectiveness of the proposed method. © 2017, Power System Technology Press. All right reserved.
引用
收藏
页码:164 / 170
页数:6
相关论文
共 24 条
  • [1] Paul J.P., Leost J.Y., Tesseron J.M., Survey of the secondary voltage control in France: present realization and investigations, IEEE Transactions on Power Systems, 2, 2, pp. 505-511, (1987)
  • [2] Lefebvre H., Fragnier D., Boussion J.Y., Et al., Secondary coordinated voltage control system: feedback of EDF, Power Engineering Society Summer Meeting, pp. 290-295, (2000)
  • [3] Sun H., Guo Q., Zhang B., Et al., An adaptive zone-division-based automatic voltage control system with applications in China, IEEE Transactions on Power Systems, 28, 2, pp. 1816-1828, (2013)
  • [4] Liu K., He G., Huang L., Et al., Multi-objective hybrid voltage control of transmission network considering the uncertainty of renewable power sources, Power System Technology, 40, 2, pp. 369-375, (2016)
  • [5] Hu Z., Wang X., Wang X., Et al., A two-layered network partitioning approach for optimal reactive power dispatching, Power System Technology, 29, 24, pp. 37-41, (2005)
  • [6] Lu Z., Qin S., Chang L., Et al., Network partitioning for reactive power/voltage control based on dempster-shafer evidences fusion, Power System Technology, 34, 10, pp. 99-104, (2010)
  • [7] Wang Y., Zhang B., Sun H., Et al., A expert knowledge based subarea division method for hierarchical and distributed electric power system voltage/VAR optimization and control, Proceedings of the CSEE, 18, 3, pp. 221-224, (1998)
  • [8] Guo Q., Sun H., Zhang B., Et al., Power network partitioning based on clustering analysis in Mvar control space, Automation of Electric Power Systems, 29, 10, pp. 36-40, (2005)
  • [9] Zhao J., Liu F., Deng Y., Et al., Network partitioning for reactive power/voltage control based on a mapping division algorithm, Automation of Electric Power Systems, 34, 7, pp. 36-39, (2010)
  • [10] Yan W., Wang F., Tang W., Et al., Network partitioning for reactive power/voltage control based on power sources clustering and short-circuit impedance distance, Power System Protection and Control, 41, 7, pp. 109-115, (2013)