考虑风电出力的概率暂态稳定约束最优潮流决策方法OA
Decision-Making Method based on Probabilistic Transient Stability Constrained Optimal Power Flow Considering Wind Power Output
随着新能源并网进程的推进,风电场发电的不确定性成为暂态稳定约束最优潮流(transient stability constrained optimal power flow,TSCOPF)问题需要重点考虑的因素.因此,本文提出一种考虑风电出力不确定性的TSCOPF模型的建立及求解方法,以得到最优的控制措施实现系统稳定运行.首先,采用卡尔曼滤波器(Kalman filter,KF)和无迹变换(unscented transformation,UT)得到系统暂态稳定裕度(transient stability margin,TSM)的概率分布;其次,构建了一个以最小化切负荷控制成本为目标的TSCOPF优化模型;然后,采用基于灵敏度的方法,将包含不确定变量的非线性动态优化问题转化为可迭代求解的线性规划问题;最后,将提出的决策方法应用于改进的IEEE 39系统,验证了其可行性.
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.
刘颂凯;刘亦橦;胡畔;杨东月;高坤;苏攀;叶碧青
三峡大学 电气与新能源学院,湖北 宜昌 443002新能源微电网湖北省协同创新中心,湖北 宜昌 443002三峡大学 电气与新能源学院,湖北 宜昌 443002新能源微电网湖北省协同创新中心,湖北 宜昌 443002三峡大学 电气与新能源学院,湖北 宜昌 443002新能源微电网湖北省协同创新中心,湖北 宜昌 443002国网湖北省电力有限公司 电力科学研究院,武汉 430077
信息技术与安全科学
暂态稳定约束最优潮流电力系统暂态稳定裕度灵敏度
transient stability constrained optimal power flowpower systemtransient stability marginsensitivity
《三峡大学学报(自然科学版)》 2026 (1)
83-90,8
国家自然科学基金项目(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)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)
评论