含风电并网的暂态稳定约束最优潮流研究

刘颂凯; 陈常贺; 张磊; 周倩; 刘旺江; 艾宇坤

doi:10.19912/j.0254-0096.tynxb.2024-2372

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含风电并网的暂态稳定约束最优潮流研究

更新时间：2026-07-21

- 含风电并网的暂态稳定约束最优潮流研究
- Vol. 47, Issue 5, Pages: 278-287(2026)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.19912/j.0254-0096.tynxb.2024-2372
  CLC： TM712
- Online First：04 June 2026，
  
  Published：2026
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刘颂凯, 陈常贺, 张磊, et al. 含风电并网的暂态稳定约束最优潮流研究[J]. 2026, 47(5): 278-287.
DOI：

刘颂凯, 陈常贺, 张磊, et al. 含风电并网的暂态稳定约束最优潮流研究[J]. 2026, 47(5): 278-287. DOI： 10.19912/j.0254-0096.tynxb.2024-2372.

摘要

针对风电不确定性及风电场间的相关性对电力系统的影响

同时考虑维持电力系统的安全稳定性和经济性

提出一种含风电并网的机会约束暂态稳定约束最优潮流（CCTSCOPF）方法。首先

在风电不确定性分析的基础上

结合风电场间的相关性

采用基于密度峰值聚类的高斯混合模型（DPC-GMM）对风电出力概率分布进行建模

精确刻画风电出力的概率特性

为模型构建提供关键依据;其次

结合机会约束理论构建CCTSCOPF模型

并通过无迹变换法处理模型中的随机变量

从而推导输出变量的概率信息

实现不确定性问题的确定性转化;然后

利用斑马优化算法（ZOA）对CCTSCOPF模型进行求解

提高搜索效率和解的质量

以有效应对复杂的优化问题;最后

在改进的IEEE 39节点系统上进行算例分析

证实了所提方法的准确性和适用性。

Abstract

The impact of wind power uncertainty and the correlation between wind farms on the power system is analyzed while maintaining the system's security

stability

and economic efficiency. A chance constrained transient stability constrained optimal power flow （CCTSCOPF） method incorporating grid-connected wind power is proposed. Initially

building upon the analysis of wind power uncertainty and accounting for the correlation among wind farms

a Gaussian mixture model based on the density peak clustering algorithm （DPC-GMM） is employed to model the probabilistic distribution of wind power output. This approach accurately captures the probabilistic characteristics of wind power generation

thus providing a crucial foundation for model development. Subsequently

a CCTSCOPF model is formulated within the framework of chance constraints

and the unscented transform method is applied to address the stochastic variables present in the model. This facilitates the derivation of probabilistic information for the output variables

thereby enabling the deterministic transformation of the uncertainty problem. Next

the zebra optimization algorithm （ZOA） is applied to solve the CCTSCOPF model

enhancing both the search efficiency and the quality of the solutions

effectively tackling the complexities of the optimization problem. Finally

case studies based on the enhanced IEEE 39-bus system are conducted

validating the accuracy and applicability of the proposed methodology.

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