摘要
风电不确定性给其功率预测带来一定困难,功率预测误差过大容易引发电压越限问题。为了保证电压安全并兼顾运行经济性,以网损最小为目标函数并考虑控制电压越限风险,对系统进行无功优化,通过一定置信度下的电压约束将随机优化模型转变成机会约束规划模型,再用内点法求解。提出了3种考虑电压安全裕度的优化方法,分析了它们各自特点和适用工况,制定了根据不同风电预测精度来灵活选用的综合方法。利用解析化梯度矩阵和海森矩阵的改进算法来求解无功优化模型,与以往采用差分近似梯度的算法相比,大幅提升了计算效率,减少了一半以上的迭代次数和计算时间。最后在含风电场的IEEE-39节点系统和中国内陆某实际风场中验证了所提方法的有效性和优越性。
The uncertainty of wind power brings some difficulties to its power prediction and excessive power prediction error is easy to lead to voltage violation.In order to ensure voltage safety and operation economy,the reactive power optimization was carried out by taking the minimum power loss as the objective function and considering control of voltage over-limit risk.The stochastic optimization model was transformed into a chance-constrained programming model through the voltage constraint under a certain confidence level,and then solved by the interior-point method.Three optimization methods considering voltage safety margin were proposed,and after analyzing their characteristics and applicable working conditions,the comprehensive method of optimization selected according to wind power prediction accuracy was formulated.The improved algorithm of analytic gradient matrix and Hessian matrix were used to solve the reactive power optimization model,which greatly improved the calculation efficiency and reduced the number of iterations and calculation time by more than half compared with the previous algorithm using differential approximation gradient.Finally,the effectiveness and superiority of the proposed method were verified in an IEEE-39 node system with wind farm and an actual wind field in inland China.
作者
胡畔
冀肖彤
王易
张兆毅
赖秋频
刘承锡
HU Pan;JI Xiao-tong;WANG Yi;ZHANG Zhao-yi;LAI Qiu-pin;LIU Cheng-xi(State Grid Hubei Electric Power Research Institute, Wuhan 430077, China;School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)
出处
《科学技术与工程》
北大核心
2022年第17期7002-7012,共11页
Science Technology and Engineering
基金
国家电网公司科技项目(SGHBDK00DWJS2100057)
国家自然科学基金(52007133)。
关键词
风电不确定性
电压越限
无功优化
网损
仿射函数
wind power uncertainty
voltage violation
reactive power optimization
power loss
affine function
