Data-Driven Dispatchable Regions With Potentially Active Boundaries for Renewable Power Generation: Concept and Construction

被引:12
|
作者
Liu, Yanqi [1 ]
Li, Zhigang [1 ]
Wei, Wei [2 ]
Zheng, J. H. [1 ]
Zhang, Hongcai [3 ,4 ]
机构
[1] South China Univ Technol, Sch Elect Power Engn, Guangzhou 510641, Peoples R China
[2] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
[3] Univ Macau, State Key Lab Internet Things Smart City, Macau 999078, Peoples R China
[4] Univ Macau, Dept Elect & Comp Engn, Macau 999078, Peoples R China
基金
中国国家自然科学基金;
关键词
Renewable energy sources; Uncertainty; Power systems; Wind power generation; Mathematical models; Indexes; Optimization; Column generation; data driven; dispatchable region; mixed-integer linear program; potentially active boundary; renewable power generation; ECONOMIC-DISPATCH; SYSTEMS;
D O I
10.1109/TSTE.2021.3138125
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The dispatchable region of volatile renewable power generation (RPG) quantifies how much uncertainty the power system can handle at a given operating point. State-of-the-art dispatchable region (DR) research has studied how system operational constraints influence the DR but has seldom considered the effect of the uncertainty features of RPG outputs. The traditional DR is generally described by a large number of boundaries, and it is computationally intensive to construct. To bridge these gaps, a novel type of DR is defined, which is enclosed by potentially active boundaries (PABs) that consider the operational constraints and uncertainty features of RPG outputs. The proposed DR is easier to construct because the PABs are only a small part of the traditional DR boundaries. The procedure for constructing the proposed DR is described in terms of the progressive search for PABs, which is formulated as a mixed-integer linear program by incorporating the discrete observed data points of RPG outputs as an approximate distribution. A parallel solution paradigm is also developed to expedite the construction procedure when using a large observed dataset. Simulation tests on the IEEE 30-bus and 118-bus systems verify the effectiveness and scalability of the proposed DR and the efficiency of the proposed algorithm.
引用
收藏
页码:882 / 891
页数:10
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