考虑风电接入的有功运行备用协调优化

ZHANG Guoqiang; WU Wenchuan; ZHANG Boming

您当前的位置：

首页 >

文章列表页 >

考虑风电接入的有功运行备用协调优化

更新时间：2025-08-13

- 考虑风电接入的有功运行备用协调优化
- Automation of Electric Power Systems Vol. 35, Issue 12, Pages: 15-19(2011)
- 作者机构：
  
  电力系统国家重点实验室，清华大学电机系,北京市,100084
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
移动端阅览
ZHANG Guoqiang, WU Wenchuan, ZHANG Boming. [J]. Automation of electric power systems, 2011, 35(12): 15-19.
DOI：

ZHANG Guoqiang, WU Wenchuan, ZHANG Boming. [J]. Automation of electric power systems, 2011, 35(12): 15-19. DOI：

摘要

分析了大量风电接入对系统有功运行备用提出的问题，首先分析了风电接入后系统的运行备用需求性质，进而提出一种基于风险的风电备用需求决策方法，并提出一种充分利用发电机组控制性能的备用协调优化分配算法。IEEE 39节点系统的仿真结果表明，所提出的方法有效解决了风电备用需求的确定和分配问题，对接入大量风电的系统的有功调度运行具有实用价值。

Abstract

The impact of wind power integration on the system active operation reserve is analyzed. The characteristics of operating reserve are discussed， and a risk-based reserve decision method for wind power integration is presented. A coordination and optimal reserve allocation algorithm is proposed to take full advantage of the control performance of generators， which is capable of solving the wind power impact on the operation reserve. Simulation results of an IEEE 39-bus system show that the method proposed is effective in determining and allocating the wind power reserve demands and of practical value in integrating massive active dispatch operation of the wind power system.

关键词

Keywords

references

Views

3079

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

考虑风电接入的协调滚动发电计划

Optimal Power Flow of Integrated Hydrogen-Electricity Energy System Based on Reduced-dimension Projection

Review on Optimization Methods for New Power System Dispatch Based on Deep Reinforcement Learning

Related Author

WANG Qingyuan

WANG Mingshen

MU Yunfei

CUI Li

ZHAO Nan

GE Le

PENG Hongyi

YAN Mingyu

Related Institution

Gaoyou Power Supply Company, State Grid Jiangsu Electric Power Co., Ltd.

School of Electric Power Engineering, Nanjing Institute of Technology

Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd.

Key Laboratory of Smart Grid of Ministry of Education (Tianjin University)

State Key Laboratory of Advanced Electromagnetic Engineering and Technology (Huazhong University of Science and Technology)

⁰