考虑风电功率序列时间相关性的电力系统动态经济调度  

Dynamic Economic Dispatch of Power System Considering Temporal Correlation of Wind Power Sequence

作　　者：刘继 徐箭[1] 孙元章[1] 周过海 王静[1] 魏聪颖 LIU Ji;XU Jian;SUN Yuanzhang;ZHOU Guohai;WANG Jing;WEI Congying(School of Electrical Engineering,Wuhan University,Wuhan 430072,China)

机构地区：[1]武汉大学电气工程学院,湖北省武汉市430072

出　　处：《电力系统自动化》2019年第3期43-50,91,共9页Automation of Electric Power Systems

基　　金：国家重点研发计划资助项目(2016YFB0900100);湖北省杰出青年基金资助项目(2018CFA080);国家电网公司科技项目(5215001600ur)~~

摘　　要：随着高比例可再生能源大规模接入电力系统,其不确定性对经济调度带来了巨大的挑战。针对含风电电力系统经济调度问题,提出了考虑风电功率序列时间相关性的数据筛选方法,并利用versatile-copula分布实现风电功率序列时间相关性建模,以此为基础提出了考虑随机变量相关性的机会约束与风电成本高低估代价计算方法,建立了考虑风电功率序列时间相关性的动态经济调度模型。通过对目标函数和约束条件的转化与分析,将随机优化模型转化为线性约束问题,并利用逐次线性化算法实现准确求解。最后,在含风电的IEEE-30节点和IEEE-118节点算例系统中进行仿真计算,验证了所提考虑风电功率序列时间相关性的调度方法在数据筛选、拟合精度、经济性等方面的有效性。With large-scale integration of renewable energy to power system, its uncertainty has brought great challenges to economic dispatching. To solve this problem, a data classification method for modeling temporal correlation of wind power is put forward, and the versatile-copula distribution is applied to describe the correlation. On the basis of those improvements, the chance constrains and over/under estimation punishment model are presented, and a stochastic optimization model of minimizing generating cost is given in the meantime. After that, through conversions of objective functions and constraints, the stochastic optimization model is transformed into a linear convex problem, and the successive linearization program is applied to solve it accurately. Finally, case study is carried out in modified IEEE-30 bus and IEEE-118 bus system, which verifies the effectiveness of the proposed scheduling method in terms of fitting accuracy and generating cost.

关 键 词：风电功率 经济调度 时间相关性 versatile—copula分布 

分 类 号：TM614[电气工程—电力系统及自动化]