Convex Hull Based Economic Operating Region for Power Grids Considering Uncertainties of Renewable Energy Sources

被引:3
|
作者
Xu, Huating [1 ]
Feng, Bin [1 ]
Huang, Gang [1 ]
Sun, Mingyang [2 ]
Xiong, Houbo [1 ]
Guo, Chuangxin [1 ]
机构
[1] Zhejiang Univ, Coll Elect Engn, Hangzhou, Peoples R China
[2] Zhejiang Univ, Dept Control Sci & Engn, Hangzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
Security; Power grids; Uncertainty; Vectors; Optimal scheduling; Costs; Real-time systems; Convex hull; preprocessing method; economic operating region (EOR); renewable energy source (RES); uncertainty; STATE SECURITY REGION; DISPATCH; SYSTEM; STORAGE; MODEL;
D O I
10.35833/MPCE.2023.000549
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The increasing integration of renewable energy sources (RESs) presents significant challenges for the safe and economical operation of power grids. Addressing the critical need to assess the effect of RES uncertainties on optimal sched- - uling schemes (OSSs), this paper introduces a convex hull based economic operating region (CH-EOR) for power grids. The CHEOR is mathematically defined to delineate the impact of RES uncertainties on power grid operations. We propose a novel ap- - proach for generating the CH-EOR, enhanced by a big-M M pre- - processing method to improve the computational efficiency. Per- - formed on four test systems, the proposed big-M M preprocessing method demonstrates notable advancements: a reduction in av- - erage operating costs by over 10% compared with the box-con- - strained operating region (BC-OR) derived from robust optimi- - zation. Furthermore, the CH-EOR occupies less than 11.79% of the generators' ' adjustable region (GAR). Most significantly, after applying the proposed big-M M preprocessing method, the computational efficiency is improved over 17 times compared with the traditional big-M M method.
引用
收藏
页码:1419 / 1430
页数:12
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