摘要
风电大规模接入使得电网的运行模式和方式发生重大改变,同时风电的随机性和间歇性特点导致电网调峰能力不足,引发大量弃风现象。针对此问题,以风电储能混合系统为例,建立了以弃风量最小为目标的风电储能混合系统协调优化模型,采用蒙特卡罗积分将带有风电不确定项的优化目标函数转化为有效目标函数,消除风电的不确定性因素影响。优化过程中引入低偏差序列的拟蒙特卡罗法改善样本分布的均匀性,更加精确计算有效目标函数,通过鲁棒优化算法搜索协调优化模型的最优解。对比试验表明,协调优化计算方法在风力发电功率不确定情况下能够有效减少弃风,达到消纳风电的目的。
The large-scale access of wind power causes major changes in the operation mode of the grid.At the same time,due to the randomness and intermittent characteristics of wind power,the ability of cyclic operation of the power grid is insufficient,which causes a large amount of wind power curtailment problems.Aiming at the problem of insufficient wind power accommodation and high pressure of cyclic operation of the power grid caused by wind power uncertainty,this paper established a wind energy storage hybrid systems coordination optimization model.The model takes minimization of the amount of wind power curtailment as the objective and uses the Monte Carlo Integral to transform the optimal objective function with wind power uncertainty into an effective objective function to eliminate the influence of wind power uncertainty factors.The Quasi-Monte Carlo method with low deviation sequence is introduced into the optimization process to improve the uniformity of the sample distribution,and the effective objective function is calculated more accurately.The optimal solution of the coordinated optimization model is searched by the robust optimization algorithm.The comparative experiments show that the proposed coordinated optimization calculation method can effectively decrease wind power curtailment in the case of uncertain wind power,achieve the purpose of wind power accommodation.
作者
徐虹卿
张宇献
邢作霞
XU Hongqing;ZHANG Yuxian;XING Zuoxio(School of Information Science and Engineering,Shenyang University of Technology,Shenyang 110870,China;School of Electrical Engineering,Shenyang University of Technology,Shenyang 110870,China)
出处
《电器与能效管理技术》
2019年第9期53-59,70,共8页
Electrical & Energy Management Technology
基金
国家自然基金项目(61102124)
辽宁省自然科学基金项目(2015020064)
辽宁省教育厅项目(LQGD2017035)
关键词
风电储能混合系统
风电消纳
风电不确定性
协调优化模型
拟蒙特卡罗
wind energy storage hybrid system
wind power accommodation
wind power uncertainty
coordinative optimization model
Quasi-Monte Carlo
