ACTIVE POWER AND REACTIVE POWER COOPERATIVE ROBUST OPTIMIZATION OF ACTIVE DISTRIBUTION NETWORK CONSIDERING WIND POWER UNCERTAINTY AND ENERGY STORAGE FLEXIBILITY

被引：0
|
作者：
Li, Peng [1 ]
Li, Linyuan [1 ]
Wang, Jiahao [1 ]
Wu, Fubao [2 ]
Yang, Bo [2 ]
Tao, Yibin [2 ]
机构：
[1] School of Electrical and Electronic Engineering, North China Electric Power University, Baoding
[2] China Electric Power Research Institute, Beijing
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2024年 / 45卷 / 07期
关键词：
active distribution network; active power and reactive power collaborative optimization; energy storage; power flow linearization; robust optimization; wind power;
D O I：
10.19912/j.0254-0096.tynxb.2023-0445
中图分类号：
学科分类号：
摘要：
This paper proposes a robust optimization method for active power and reactive power collaboration in active distribution networks considering wind power uncertainty and energy storage flexibility. Firstly，the active power and reactive power cooperative optimization model of active distribution network considering the adjustable power characteristics of energy storage devices in four quadrants is established. Secondly，the linearized representation of AC power flow equation and energy storage devices constraints are given. Then，by using the box set to describe the uncertainty of wind power output，the active power and reactive power cooperative robust optimization model of active distribution network is established. Through the dual transformation，the main problem and subproblem of two-stage robust optimization in the form of mixed integer linear programming are obtained，and the column constraint generation algorithm is used to solve the interactive and iterative problem. Finally，the IEEE 33 node system is taken as an example for simulation verification. The simulation results show that the proposed method can overcome the influence of high non-convexity and nonlinearity of the model on the convergence accuracy and solving efficiency，and make full use of the reactive power regulation ability of the energy storage devices to realize the robust optimal operation of active power and reactive power coordination in the active distribution network. © 2024 Science Press. All rights reserved.
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页码：303 / 311
页数：8
相关论文
共 23 条
  • [1] LI J H, XIE Y T, ZENG H Y，, Et al., Research review of uncertain optimal scheduling and its application in new-type power systems［J］, High voltage engineering, 48, 9, pp. 3447-3464, (2022)
  • [2] MA X P, JIA R, LIANG C，, Et al., Review of researches on loss reduction in context of high penetration of renewable power generation［J］, Power system technology, 46, 11, pp. 4305-4315, (2022)
  • [3] XIE X R, MA N J，, LIU W，, Et al., Functions of energy storage in renewable energy dominated power systems：review and prospect［J］, Proceedings of the CSEE, 43, 1, pp. 158-169, (2023)
  • [4] WANG Z, MA S, LI G Q, Et al., Day-ahead and intra-day two-stage rolling optimal dispatch of power grid considering access of composite energy storage power stations［J］, Acta energiae solaris sinica, 43, 10, pp. 400-408, (2022)
  • [5] GAO H S, ZHANG Y M，, JI X Q，, Et al., Scenario clustering based distributionally robust comprehensive optimization of active distribution network［J］, Automation of electric power systems, 44, 21, pp. 32-41, (2020)
  • [6] SHEN M J, WANG L L., A robust coordinated active-reactive power optimal operation strategy for active distribution network with correlated wind power ［J］, Modern electric power, 40, 6, pp. 1013-1022, (2023)
  • [7] XU Y, YAN X W, LI R J，, Et al., Joint optimization of active and reactive powers in active distribution network with“generation-grid-load-energy storage”interaction in power market environment［J］, Power system technology, 43, 10, pp. 3778-3789, (2019)
  • [8] DU G, ZHAO D M，, LIU X., Research review on optimal scheduling considering wind power uncertainty［J］, Proceedings of the CSEE, 43, 7, pp. 2608-2627, (2023)
  • [9] LI P, WANG X Y, HAN P F., Risk analysis of microgrid optimal operation scheduling under double uncertainty environment［J］, Proceedings of the CSEE, 37, 15, pp. 4296-4303, (2017)
  • [10] ZHANG K S, FENG P J，, ZHANG G, Et al., Bi-level optimization configuration method for multienergy microgrid considering chance constraints［J］, Acta energiae solaris sinica, 42, 8, pp. 41-48, (2021)
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