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兼顾补偿预测误差和平抑波动的光伏混合储能协调控制策略
作者:
作者单位:

1.电力系统及大型发电设备安全控制和仿真国家重点实验室风光储分室(新疆大学), 新疆维吾尔自治区乌鲁木齐市 830047;2.新疆工程学院控制工程学院,新疆维吾尔自治区乌鲁木齐市 830001;3.特变电工新疆新能源股份有限公司,新疆维吾尔自治区乌鲁木齐市 830000

摘要:

为了提升光伏输出功率预测精度和平抑功率波动,提出一种兼顾补偿预测误差和平抑波动的光伏混合储能协调控制策略。首先,利用概率统计分布对预测误差和功率波动进行分析,确立补偿预测误差和平抑波动目标域,基于预测允许误差上下限值确定补偿预测误差目标域的充/放电参考功率,以一阶低通滤波平滑曲线确定平抑波动目标域的充/放电参考功率。然后,基于频谱分析将目标域外的功率分解为高频和低频分量,实现功率分配目的,并基于目标域将混合储能电池分为4组,根据充/放电参考功率进行充/放电池组状态切换,实现对不同工况补偿预测误差的初级控制和平抑波动的次级控制,完成混合储能充/放电优先级控制。最后,以中国新疆某光伏电站为例进行算例分析,结果表明了所提策略的有效性。

关键词:

基金项目:

国家自然科学基金资助项目(51667021);新疆维吾尔自治区重大科技专项子课题(2016A02004-4);新疆维吾尔自治区高校科研计划自然科学重点项目(XJEDU2020I004)。

通信作者:

作者简介:

谢丽蓉(1969—),女,通信作者,硕士,教授,博士生导师,主要研究方向:控制系统优化、新能源发电预测应用。E-mail:xielirong@xju.edu.cn
郑浩(1992—),男,硕士研究生,主要研究方向:新能源发电。E-mail:1050356398@qq.com
魏成伟(1972—),男,硕士,副教授,主要研究方向:自动控制工程与科学技术。E-mail:wzywwwxr@163.com


Coordinated Control Strategy of Photovoltaic Hybrid Energy Storage Considering Prediction Error Compensation and Fluctuation Suppression
Author:
Affiliation:

1.Wind and Solar Storage Branch of State Key Laboratory of Power System and Generation Equipment (Xinjiang University), Urumqi 830047, China;2.College of Control Engineering, Xinjiang Engineering College, Urumqi 830001, China;3.TBEA Sunoasis Co., Ltd., Urumqi 830000, China

Abstract:

To improve the prediction accuracy of photovoltaic power output and suppress the power fluctuation, a coordinated control strategy of photovoltaic hybrid energy storage considering prediction error compensation and fluctuation suppression is proposed. Firstly, the target region of compensating prediction error and smoothing fluctuations is established by utilizing the statistical probability distribution to analyze the prediction error and power fluctuation. The charging/discharging reference power of the target domain for compensating prediction error is determined based on the upper and lower limits of the allowable prediction error while the charging/discharge reference power of the target domain for smoothing fluctuations is determined through first-order low-pass smooth filter curve. Then, based on the spectrum analysis, the power outside the target domain is decomposed into high-frequency and low-frequency components, so as to realize the objective of power distribution. The hybrid energy storage batteries are divided into four groups based on the target domain, and the charging/discharging battery group states are switched according to the charging/ discharging reference power, so as to realize the primary control of compensating prediction error under different working conditions and the secondary control of smoothing fluctuations, and fulfill the charging/discharging priority control of hybrid energy storage. Finally, the case study is made by taking a photovoltaic power plant in Xinjiang in China as an example. The results show the effectiveness of the proposed strategy.

Keywords:

Foundation:
This work is supported by National Natural Science Foundation of China (No. 51667021), Sub-project of Major Science and Technology Project in Xinjiang Uygur Autonomous Region (No. 2016A02004-4), and Natural Science Key Project of Xinjiang Uygur Autonomous Region University Scientific Research Program (No. XJEDU2020I004).
引用本文
[1]谢丽蓉,郑浩,魏成伟,等.兼顾补偿预测误差和平抑波动的光伏混合储能协调控制策略[J].电力系统自动化,2021,45(3):130-138. DOI:10.7500/AEPS20200505001.
XIE Lirong, ZHENG Hao, WEI Chengwei, et al. Coordinated Control Strategy of Photovoltaic Hybrid Energy Storage Considering Prediction Error Compensation and Fluctuation Suppression[J]. Automation of Electric Power Systems, 2021, 45(3):130-138. DOI:10.7500/AEPS20200505001.
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  • 收稿日期:2020-05-05
  • 最后修改日期:2020-08-13
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  • 在线发布日期: 2021-02-03
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