Source-grid coordination multi-objective optimal scheduling considering confidence risk of wind power

被引:0
|
作者
Peng C. [1 ]
Wen Z. [1 ]
Sun H. [1 ]
Zha H. [2 ]
机构
[1] School of Electrical & Automation Engineering, East China Jiaotong University, Nanchang
[2] Zhelin Hydropower Plant, State Grid Jiangxi Electric Power Company, Jiujiang
基金
中国国家自然科学基金;
关键词
Backtracking search algorithm; Confidence risk; Multi-objective optimal scheduling; Source-grid coordination; Wind power;
D O I
10.16081/j.epae.202012010
中图分类号
学科分类号
摘要
In order to evaluate the risk of power system optimal scheduling brought by wind power over/under-estimation more reasonably and flexibly,and reduce the conservativeness of scheduling decision,a quantitative calculation method of wind power over/under-estimation confidence risk power derivation is proposed based on wind power chance constraints,the transformer ratio regulation and reactive power compensation capacity optimization are introduced into the decision variables,and a multi-objective optimal eco-nomy/risk scheduling model considering wind power confidence risk and source-grid coordination operation is established. A FNSBS(Feasible and Non-dominated comprehensive Sorting Backtracking Search) algorithm is proposed to achieve efficient and accurate solution of the scheduling model. Case results of IEEE 30-bus system verify the effectiveness and superiority of the proposed method. © 2021, Electric Power Automation Equipment Press. All right reserved.
引用
收藏
页码:69 / 76
页数:7
相关论文
共 18 条
  • [1] JIN J L, ZHOU D Q, ZHOU P, Et al., Environmental/eco-nomic power dispatch with wind power[J], Renewable Energy, 71, pp. 234-242, (2014)
  • [2] CHEN Gonggui, CHEN Jinfu, Environmental/economic dynamic dispatch modeling and method for power systems integrating wind farms, Proceedings of the CSEE, 33, 10, pp. 27-35, (2013)
  • [3] NIE Yonghui, FENG Haoran, YU Yongli, Et al., Dynamic optimal power-flow of power system with wind power, Electric Power Automation Equipment, 37, 2, pp. 15-21, (2017)
  • [4] LOUKATOU A, HOWELL S, JOHNSON P, Et al., Stochastic wind speed modelling for estimation of expected wind power output, Applied Energy, 228, pp. 1328-1340, (2018)
  • [5] PENG C H, SUN H J, GUO J F, Et al., Dynamic economic dispatch for wind-thermal power system using a novel bi-population chaotic differential evolution algorithm[J], Interna-tional Journal of Electrical Power & Energy Systems, 42, 1, pp. 119-126, (2012)
  • [6] QIAN Zhen, LIU Jiankun, CHEN Jing, Et al., Two-stage OPF considering wind-power uncertainty for power system with UPFC, Electric Power Automation Equipment, 37, 3, pp. 80-86, (2017)
  • [7] YIN Qing, YANG Honggeng, MA Xiaoyang, Probabilistic optimal reactive power dispatch of power grid with large-scale wind farm integration, Power System Technology, 41, 2, pp. 514-520, (2017)
  • [8] ZHANG Qianwen, WANG Xiuli, YANG Tingtian, Et al., A robust dispatch method for power grid with wind farms, Po-wer System Technology, 41, 5, pp. 1451-1463, (2017)
  • [9] MA Y F, HAO Y, ZHAO S Q, Et al., Security constrained economic dispatch of wind-integrated power system conside-ring optimal system state selection[J], IET Generation,Trans-mission & Distribution, 11, 1, pp. 27-36, (2017)
  • [10] ZHANG Da, PENG Chunhua, SUN Huijuan, Multi-objective dynamic economic emission dispatch of large-scale wind power integration, Journal of East China Jiaotong University, 36, 5, pp. 129-135, (2019)