Optimal configuration of wind farm black start energy storage capacity: a method considering energy storage operation strategy

被引：0
|
作者：
Yan L. [1 ]
Cao L. [1 ]
Xue T. [1 ]
Zhang X. [1 ]
Wang Q. [1 ]
机构：
[1] School of Electric Power, Civil Engineering and Architecture, Shanxi University, Taiyuan
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2022年 / 50卷 / 16期
关键词：
black start; energy storage capacity configuration; energy storage operation strategy; non-parametric kernel density estimation; probability density;
D O I：
10.19783/j.cnki.pspc.211420
中图分类号：
学科分类号：
摘要：
The proportion of wind power in the regional power grid is increasing. To solve the problem of wind power output fluctuation during the black start process of wind farms, an energy storage configuration method with an energy storage operation strategy is proposed. First, the predicted power is obtained based on a wind power prediction algorithm, and the minimum black-start output probability density and the black-start executable probability inclination are defined by non-parametric kernel density estimation. Then the black-start period is determined. Secondly, the energy storage operation strategy is formulated with the role of energy storage in compensating for power shortage and suppressing fluctuations during the black start process. For the influence of energy storage operation strategy on capacity allocation, taking the rated power and capacity of energy storage as model independent variables, an energy storage optimal allocation model with the maximization of compensation power shortage as the objective function is established. The improved particle swarm optimization algorithm is used to analyze the model. Finally, the data of a 45 MW wind farm in Inner Mongolia verifies the feasibility of the energy storage operation strategy and optimal configuration model. © 2022 Power System Protection and Control Press. All rights reserved.
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页码：131 / 139
页数：8
相关论文
共 26 条
  • [1] LI Baojie, LI Jinbo, LI Hongjie, Et al., Analysis of Turkey's "3.31" blackout and its enlightenment to the safe operation of China's power grid, Proceedings of the CSEE, 36, 21, pp. 5788-5795, (2016)
  • [2] HU Qinran, DING Haohui, CHEN Xinyi, Et al., Analysis of alternating blackouts in California in 2020 and its enlightenment to China's power grid, Automation of Electric Power Systems, 44, 24, pp. 11-18, (2020)
  • [3] (2014)
  • [4] GU Xueping, LI Xinjun, YANG Chao, Et al., Black start scheme considering wind power participation, Electric Power Automation Equipment, 40, 1, pp. 31-37, (2020)
  • [5] PATSAKIS G, RAJAN D, ARAVENA I, Et al., Optimal black start allocation for power system restoration, IEEE Transactions on Power Systems, 33, 6, pp. 6766-6776, (2018)
  • [6] LI J, YOU H, QI J, Et al., Stratified optimization strategy used for restoration with photovoltaic-battery energy storage systems as black-start resources, IEEE Access, 7, pp. 127339-127352, (2019)
  • [7] LEHTOLA T, ZAHEDI A., Solar energy and wind power supply supported by storage technology: a review, Sustainable Energy Technologies and Assessments, 35, pp. 25-31, (2019)
  • [8] BULLICH-MASSAGUE E, CIFUENTES-GARCIA F J, GLENNY- CRENDE I, Et al., A review of energy storage technologies for large scale photovoltaic power plants, Applied Energy, (2020)
  • [9] SUN Weiqing, LUO Jing, ZHANG Jie, Energy storage capacity allocation and influence factor analysis of a power system with a high proportion of wind power, Power System Protection and Control, 49, 15, pp. 9-18, (2021)
  • [10] FENG Q, WANG J, CHEN C, Et al., Optimal black start resource allocation, IEEE Transactions on Power Systems, 31, 3, pp. 2493-2494, (2016)
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