Bi-level Optimization Decision for Unit Recovery Sequence Considering Black-start Value of Multiple Wind Farms

Yichang ZHOU; Yan LIU; Xueping GU

doi:10.7500/AEPS20190922001

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Bi-level Optimization Decision for Unit Recovery Sequence Considering Black-start Value of Multiple Wind Farms

Basic Research | 更新时间：2025-06-16

- Bi-level Optimization Decision for Unit Recovery Sequence Considering Black-start Value of Multiple Wind Farms
- Automation of Electric Power Systems Vol. 44, Issue 16, Pages: 87-97(2020)
- 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：
- 基金信息：
  
  National Natural Science Foundation of China;the Fundamental Research Funds for the Central Universities
- DOI：10.7500/AEPS20190922001
  CLC：
- Received：22 September 2019，
  
  Revised：2020-04-18，
  
  Published Online：28 May 2020，
  
  Published：25 August 2020
- 稿件说明：
移动端阅览
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.

关键词

Keywords

references

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