引用本文: | 闫来清,曹丽源,薛太林,张学军,王 祺.风电场黑启动储能容量优化配置:一种考虑储能运行策略的方法[J].电力系统保护与控制,2022,50(16):131-139.[点击复制] |
YAN Laiqing,CAO Liyuan,XUE Tailin,ZHANG Xuejun,WANG Qi.Optimal configuration of wind farm black start energy storage capacity:a method considering energy storage operation strategy[J].Power System Protection and Control,2022,50(16):131-139[点击复制] |
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摘要: |
风电在区域电网的占比越来越大。为了解决风电场在黑启动过程中的风电出力波动问题,提出了一种考虑储能运行策略的储能配置方法。首先,基于风电功率预测算法得出预测功率,并利用非参数核密度估计定义黑启动最小风功率概率密度以及黑启动可执行概率倾度,进而确定了黑启动时段。其次,根据储能在黑启动过程中补偿功率缺额和平抑波动作用制定储能运行策略。考虑储能运行策略对容量配置的影响,将储能额定功率和额定容量作为模型自变量,建立以补偿功率缺额最大化为目标函数的储能优化配置模型,并采用改进粒子群算法对模型进行求解。最后,以内蒙古某45 MW风电场数据对储能运行策略和优化配置模型的可行性进行了验证。 |
关键词: 黑启动 非参数核密度估计 概率密度 储能运行策略 储能容量配置 |
DOI:DOI: 10.19783/j.cnki.pspc.211420 |
投稿时间:2021-10-23修订日期:2022-03-03 |
基金项目:山西省应用基础研究计划青年项目资助(20210302124553) |
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Optimal configuration of wind farm black start energy storage capacity:a method considering energy storage operation strategy |
YAN Laiqing,CAO Liyuan,XUE Tailin,ZHANG Xuejun,WANG Qi |
(School of Electric Power, Civil Engineering and Architecture, Shanxi University, Taiyuan 030006, China) |
Abstract: |
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.
This work is supported by the Youth Fund of Basic Research for Application in Shanxi Province (No. 20210302124553). |
Key words: black start non-parametric kernel density estimation probability density energy storage operation strategy energy storage capacity configuration |