平抑长短期风电功率波动的风储协调运行方法

SHEN Shu

您当前的位置：

首页 >

文章列表页 >

平抑长短期风电功率波动的风储协调运行方法

更新时间：2025-08-13

- 平抑长短期风电功率波动的风储协调运行方法
- Automation of Electric Power Systems Vol. 39, Issue 8, Pages: 12-18(2015)
- 作者机构：
  
  电力传输与功率变换控制教育部重点实验室(上海交通大学),上海市,200240
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2015
- 稿件说明：
移动端阅览
SHEN Shu. [J]. Automation of electric power systems, 2015, 39(8): 12-18.
DOI：

SHEN Shu. [J]. Automation of electric power systems, 2015, 39(8): 12-18. DOI：

摘要

提出了一种基于模型预测控制(MPC)和低通滤波(LPF)原理的实时平抑长短期风电功率波动的风储协调运行方法。首先

该方法利用风电场发电功率预测曲线

综合考虑优化时域内实际并网功率的平滑效果、储能荷电状态(SOC)、储能出力以及相关约束

通过每15 min的滚动计算来实现对储能系统的优化控制。然后

建立了MPC与LPF两种原理的联系

推导了对常规LPF原理进行补偿的计算公式

使得储能SOC变化能够跟踪MPC设定的优化轨迹。算例分析表明

新方法既能够有效平抑1 min和10 min的短期风电功率波动

又能在15 min~4 h的时间尺度上

有效控制储能SOC的变化范围。

Abstract

To smooth the long-term and short-term wind power fluctuations

a new coordination operation method of wind power and energy storage hybrid system based on the model predictive control (MPC) and low pass filter (LPF) is proposed. Based on the wind power forecasting results

the receding optimization is utilized to control the energy storage system every 15 min while a number of constraints are considered

such as the smoothing effects of grid-connected power

the state-of-charge (SOC) of the energy storage system and so on. Furthermore

the connection of MPC and LPF is established by compensating for the traditional LPF to ensure that the SOC catches up with the optimization track set by MPC. Finally

simulation studies demonstrate that the new method can not only smooth the 1 min and 10 min short-term fluctuations

but also control the SOC range in the 15 min to 4 h long-term time scales. This work is supported by National Key Technologies R&D Program (No. 2013BAA01B04).

关键词

Keywords

references

Views

2896

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

近海风电场接入对地区电网电压的影响和允许接入规模

带储能的双馈风力发电系统控制策略

Operation Evaluation of Battery Energy Storage Systems on Renewable Energy Side: Current Status and Prospects

Regulation Performance-oriented Bi-level Optimal Configuration Strategy of Hybrid Energy Storage for Thermal Power-Energy Storage Frequency Regulation

Related Author

GUAN Lin

CHEN Zhongwei

CHENG Lin

SUO Kelan

XU Helin

YAN Gangui

SHA Qianli

LI Junhui

Related Institution

School of Electric Power, South China University of Technology

State Grid Hunan Electric Power Corporation Economical & Technical Research Institute

State Key Laboratory of Power System Operation and Control(Tsinghua University)

Wuxi Research Institute of Applied Technologies, Tsinghua University

Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University)

⁰