考虑多风电场黑启动价值的机组恢复顺序双层优化决策

周宜昌; 刘艳; 顾雪平

doi:10.7500/AEPS20190922001

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考虑多风电场黑启动价值的机组恢复顺序双层优化决策

学术研究 | 更新时间：2025-06-16

- 考虑多风电场黑启动价值的机组恢复顺序双层优化决策
- Bi-level Optimization Decision for Unit Recovery Sequence Considering Black-start Value of Multiple Wind Farms
- 电力系统自动化-方正平台 2020年44卷第16期页码：87-97
- 作者机构：
  
  华北电力大学电气与电子工程学院,河北省保定市 071003
- 作者简介：
  
  周宜昌(1993—)，男，硕士研究生，主要研究方向：电力系统安全防御于恢复控制。E-mail：zhouyc321@126.com
  刘艳(1973—)，女，通信作者，教授，主要研究方向：电力系统安全防御与恢复控制、智能技术在电力系统中的应用等。E-mail：y.liu@ncepu.edu.cn
  顾雪平（1964—），男，教授，博士生导师，主要研究方向：电力安全防御和系统恢复、电力系统安全稳定评估与控制、智能技术在电力系统中的应用。E-mail：xpgu@ncepubd.edu.cn
- 基金信息：
  
  国家自然科学基金资助项目(51677071);中央高校基本科研业务费专项资金资助项目(2016XS95)
- DOI：10.7500/AEPS20190922001
  中图分类号：
- 收稿日期：2019-09-22，
  
  修回日期：2020-04-18，
  
  网络出版日期：2020-05-28，
  
  纸质出版日期：2020-08-25
- 稿件说明：
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周宜昌,刘艳,顾雪平.考虑多风电场黑启动价值的机组恢复顺序双层优化决策[J].电力系统自动化,2020,44(16):87-97.

ZHOU Yichang,LIU Yan,GU Xueping.Bi-level Optimization Decision for Unit Recovery Sequence Considering Black-start Value of Multiple Wind Farms[J].Automation of Electric Power Systems,2020,44(16):87-97.
周宜昌,刘艳,顾雪平.考虑多风电场黑启动价值的机组恢复顺序双层优化决策[J].电力系统自动化,2020,44(16):87-97. DOI： 10.7500/AEPS20190922001.

ZHOU Yichang,LIU Yan,GU Xueping.Bi-level Optimization Decision for Unit Recovery Sequence Considering Black-start Value of Multiple Wind Farms[J].Automation of Electric Power Systems,2020,44(16):87-97. DOI： 10.7500/AEPS20190922001.

摘要

大规模风电的接入为当今电力系统能源格局带来根本性变革，同时对大停电后电力系统恢复进程产生巨大影响。针对含多风电场的待恢复电力系统，文中首先构建了考虑空间集群效应的多风电场出力典型场景的确定方法及多风电场黑启动价值评价函数，并提出以综合净收益函数为评价标准的机组恢复顺序双层优化模型。上层模型求解当前电力系统可恢复的初始目标集，缩小恢复策略的求解范围，下层模型从该初始目标集中求取综合净收益最大的风电机组与火电机组恢复顺序组合，并根据动态可恢复节点重要度求解恢复路径。最后，在含风电机组的IEEE 39节点系统中验证了所提决策方法的有效性。

Abstract

The access of large-scale wind power has brought fundamental changes in the current energy structure of power system

and also has brought huge impacts on power system recovery process after the blackout. Aiming at the power system recovery with multiple wind farms

the determination method of typical scenarios for output of multiple wind farms is constructed considering the spatial cluster effect

and an evaluation function of black-start value for multiple wind farms is put forward

and a bi-level optimization model of unit recovery sequence is proposed with the comprehensive net income function as the evaluation criterion. The upper model solves the initial target unit set that can be recovered in the current system to reduce the solution scope of the recovery strategy. The lower model obtains unit recovery sequence combination of wind power and thermal power units from initial target unit set

which get the largest comprehensive net benefit

and the recovery paths are solved according to the importance of dynamic ally recoverable nodes. Finally

the effectiveness of the proposed decision method is verified in IEEE 39-node system with wind turbines.

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Keywords

references

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