Stochastic optimal reactive power dispatch in a power system considering wind power and load uncertainty

被引:0
|
作者
Yang M. [1 ]
Luo L. [2 ]
机构
[1] Hunan Polytechnic of Water Resources and Electric Power, Changsha
[2] School of Electrical and Information Engineering, Hunan University, Changsha
关键词
Optimal reactive power dispatch; Scene analysis; Uncertainty; Voltage stability; Wind power;
D O I
10.19783/j.cnki.pspc.190496
中图分类号
学科分类号
摘要
With the increasing penetration of wind power, its uncertainty has occasioned a serious impact on the safe and stable operation of a power system. Reactive power optimal dispatch of a wind power system is a nonlinear mixed integer programming problem. While satisfying multiple constraints, the optimal value of reactive power control parameters is determined to optimize a specific objective function. A multi-objective reactive power stochastic optimal dispatching model for a power system considering wind power and load uncertainties is established. Two objective functions, i.e. active power loss minimization and voltage stability index minimization, are set up. The multi-objective optimization model is solved by the method of ε-constrained optimization, and the optimal compromise solution is selected by the method of fuzzy satisfaction degree. Two different cases are designed for simulation on the IEEE-57 bus system. The simulation results show that the proposed model and method can effectively solve the reactive power optimal dispatching problem of a power system with wind power, significantly reduce the active power loss and improve the system voltage stability. © 2020, Power System Protection and Control Press. All right reserved.
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收藏
页码:134 / 141
页数:7
相关论文
共 24 条
  • [1] XAIO Hao, PEI Wei, DONG Zuomin, Et al., Reactive power optimization of distribution network with distributed generation using metamodel-based global optimization method, Proceedings of the CSEE, 38, 19, pp. 5751-5762, (2018)
  • [2] DUAN Guizhong, QIN Wenping, LU Ruipeng, Et al., Static voltage stability analysis considering the wind power and uncertainty of load, Power System Protection and Control, 46, 12, pp. 108-114, (2018)
  • [3] CAI Youming, LI Zheng, CAI Xu, Coordinated control of reactive power and voltage for wind farm aiming at voltage stability of PCC and generator terminal, Electric Power Automation Equipment, 38, 8, pp. 166-173, (2018)
  • [4] ZHANG Wentao, WANG Xiuli, LI Yan, Et al., An analysis model of multi-area interconnected power systems with large-scale wind power involved in comprehensive heating and power system scheduling, Power System Technology, 42, 1, pp. 154-161, (2018)
  • [5] BAO Yuqing, WANG Beibei, LI Yang, Et al., Rolling dispatch model considering wind penetration and multi-scale demand response resource, Proceedings of the CSEE, 36, 17, pp. 4589-4600, (2016)
  • [6] DING T, LIU S, YUAN W, Et al., A two-stage robust reactive power optimization considering uncertain wind power integration in active distribution networks, IEEE Transactions on Sustainable Energy, 7, 1, pp. 301-311, (2016)
  • [7] ZHANG Lu, TANG Wei, LIANG Jun, Et al., Coordinated day-ahead reactive power dispatch in distribution network based on real power forecast errors, IEEE Transactions on Power Systems, 31, 3, pp. 2472-2480, (2016)
  • [8] YIN Qing, YANG Honggeng, MA Xiaoyang, Et al., Probabilistic reactive power optimization for distribution network considering multiple uncertainties, Power System Protection and Control, 45, 7, pp. 141-147, (2017)
  • [9] HEDAYATI-MEHDIABADI M, ZHANG J, HEDMAN K W., Wind power dispatch margin for flexible energy and reserve scheduling with increased wind generation, IEEE Transactions on Sustainable Energy, 6, 4, pp. 1543-1552, (2015)
  • [10] LIN Li, FEI Hongyun, LIU Ruchen, Et al., A regional wind power typical scenarios' selection method based on hierarchical clustering algorithm, Power System Protection and Control, 46, 7, pp. 1-6, (2018)