三峡大学学报（自然科学版）2026，Vol.48Issue(1)：83-90,8.DOI:10.13393/j.cnki.issn.1672-948X.2026.01.011
考虑风电出力的概率暂态稳定约束最优潮流决策方法
Decision-Making Method based on Probabilistic Transient Stability Constrained Optimal Power Flow Considering Wind Power Output
摘要
Abstract
As the advances of renewable energy integration,the intermittent and uncertain generation of wind farms has become a critical factor in transient stability constrained optimal power flow(TSCOPF).A model of TSCOPF that considers the uncertainty of wind power output is proposed and the solution method is provide to determine the optimal control measures in this paper.Initially,the kalman filter(KF)and unscented transformation(UT)are adopted to estimate the distribution of the transient stability margin(TSM)in the system and the uncertainty impact of wind power output on TSM is accounted for.Next,an optimization model of TSCOPF focused on minimizing the costs of load shedding control is constructed and optimized under different transient stability confidence levels.Moreover,a sensitivity-based approach is employed to transform the problem of nonlinear dynamic optimization with uncertain variables into an problem of iterative solvable linear programming.Finally,the proposed decision-making method is applied to an improved IEEE 39-bus system to verify the feasibility.关键词
暂态稳定约束最优潮流/电力系统/暂态稳定裕度/灵敏度Key words
transient stability constrained optimal power flow/power system/transient stability margin/sensitivity分类
信息技术与安全科学引用本文复制引用
刘颂凯,刘亦橦,胡畔,杨东月,高坤,苏攀,叶碧青..考虑风电出力的概率暂态稳定约束最优潮流决策方法[J].三峡大学学报（自然科学版）,2026,48(1):83-90,8.基金项目
国家自然科学基金项目(52407118) （52407118）
梯级水电站运行与控制湖北省重点实验室(三峡大学)开放基金课题(2023KJX06) （三峡大学）
电力系统智能运行与安全防御宜昌市重点实验室(三峡大学)开放基金课题(2020DLXY06) （三峡大学）
