Robust Coordinated Transmission and Generation Expansion Planning Considering Ramping Requirements and Construction Periods

被引:79
|
作者
Li, Jia [1 ]
Li, Zuyi [2 ]
Liu, Feng [1 ]
Ye, Hongxing [3 ]
Zhang, Xuemin [1 ]
Mei, Shengwei [1 ]
Chang, Naichao [4 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China
[2] IIT, Robert W Galvin Ctr Elect Innovat, Chicago, IL 60616 USA
[3] Cleveland State Univ, Cleveland, OH 44115 USA
[4] State Grids Corp China, Natl Control Ctr, Beijing 100031, Peoples R China
基金
美国国家科学基金会; 中国国家自然科学基金;
关键词
FACTS; power system planning; ramping requirements; robust optimization; wind power; PROGRAMMING APPROACH; SYSTEM EXPANSION; UNIT COMMITMENT; WIND POWER; OPTIMIZATION; INVESTMENT; MODEL;
D O I
10.1109/TPWRS.2017.2687318
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
Two critical issues have arisen in transmission expansion planning with the rapid growth of wind power generation. First, severe power ramping events in daily operation due to the high variability of wind power generation pose great challenges to multi-year planning decision making. Second, the long construction periods of transmission lines may not be able to keep pace with the fast growing uncertainty due to the increasing integration of wind power generation. To address such issues, we propose a comprehensive robust planning model considering different resources, namely, transmission lines, generators, and FACTS devices. Various factors are taken into account, including flexibility requirements, construction period, and cost. We construct the hourly net load ramping uncertainty (HLRU) set to characterize the variation of hourly net load including wind power generation, and the annual net load duration curve uncertainty (LDCU) set for the uncertainty of normal annual net load duration curve. This results in a two-stage robust optimization model with two different types of uncertainty sets, which are decoupled into two different sets of subproblems to make the entire solution process tractable. Numerical simulations with real-world data show that the proposed model and solution method are effective in coordinating different flexible resources and rendering robust expansion planning strategies.
引用
收藏
页码:268 / 280
页数:13
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