考虑规模风电机组调频特性的多区域系统优化调度

华肖童; 王涛; 顾雪平

doi:10.19912/j.0254-0096.tynxb.2025-0701

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考虑规模风电机组调频特性的多区域系统优化调度

更新时间：2026-10-15

- 考虑规模风电机组调频特性的多区域系统优化调度
- Vol. 47, Issue 9, Pages: 542-554(2026)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.19912/j.0254-0096.tynxb.2025-0701
  CLC： TM73
- Online First：10 October 2026，
  
  Published：2026
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华肖童, 王涛, 顾雪平. 考虑规模风电机组调频特性的多区域系统优化调度[J]. 2026, 47(9): 542-554.
DOI：

华肖童, 王涛, 顾雪平. 考虑规模风电机组调频特性的多区域系统优化调度[J]. 2026, 47(9): 542-554. DOI： 10.19912/j.0254-0096.tynxb.2025-0701.

摘要

规模风电结束一次调频后

在转速恢复阶段会出现功率坑现象

可能会引起系统频率二次跌落

对系统频率安全带来挑战。该文提出一种考虑频率二次跌落的多区域系统优化调度模型。第一阶段为考虑风电出力不确定性的风险调度

优化运行成本与运行风险

第二阶段为恶劣风电场景下的频率安全校核

校验一阶段提供的调度方案在多区域频率安全上是否合格。模型将系统备用功率解耦为风电波动备用、功率坑备用与事故备用

结合储能出力特性

实现了在日前调度尺度上

风电机组转速恢复过程中输出电磁功率骤降对电力系统冲击的消纳与多区域电网频率动态安全约束的协同保障。最后采用改进的两区域12节点系统

验证了所提模型能有效改善风电结束一次调频回归正常工作状态时的频率二次跌落问题

保证系统安全经济运行。

Abstract

Following the completion of primary frequency regulation in large-scale wind farms

the power dip phenomenon occurring during the rotor speed recovery phase may induce secondary frequency drop in power systems

posing challenges to system frequency security. This paper proposes a frequency security-oriented optimal dispatch model for multi-regional power systems considering secondary frequency drop risks. The two-stage optimization framework consists of： 1）A risk-averse day-ahead scheduling stage that co-optimizes operational costs and risks under wind power uncertainty through robust optimization; 2）A frequency security verification stage that validates the proposed dispatch scheme against multi-regional frequency dynamic constraints under extreme wind scenarios. The model innovatively decouples system reserve power into three distinct components： wind fluctuation reserve

power dip reserve

and contingency reserve

thereby achieving coordinated optimization between power drop absorption during wind turbine speed recovery and multi-regional grid frequency security constraints. The column and constraint generation algorithm is employed to solve this two-stage optimization problem. Case studies demonstrate that the proposed model effectively mitigates frequency security risks caused by wind turbines’ operational state transitions after primary frequency regulation while maintaining economic efficiency. The methodology provides theoretical support for secure integration of high-penetration renewable energy in modern multi-regional power systems.

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references

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