Reliability-constrained dynamic transmission expansion planning considering wind power generation

被引:0
|
作者
A. N. de Paula
E. J. de Oliveira
L. W. Oliveira
C. A. Moraes
机构
[1] Federal University of Juiz de Fora,Department of Energy
来源
Electrical Engineering | 2020年 / 102卷
关键词
Transmission expansion planning; Wind power generation; Reliability assessment; Monte Carlo simulation; Benders decomposition; Short-term uncertainties;
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学科分类号
摘要
This paper proposes a two-stage framework to solve the long-term transmission network expansion planning (TNEP) problem ensuring user-defined reliability levels and wind curtailment over the planning horizon. In the first stage, the static TNEP (S-TNEP) problem is solved to define where a set of new lines must be installed at the end of planning horizon. In the second stage, a multistage procedure is performed to solve the dynamic TNEP (D-TNEP) in order to determine the moment that each transmission line should be built. Both S-TNEP and D-TNEP are decomposed into investment decision and performance assessment through a bi-level scheme based on Benders decomposition; thus, the reliability is considered and evaluated over the planning process. The reliability and performance indexes are obtained through the non-chronological Monte Carlo simulation considering the random behavior of transmission lines failures, load fluctuations and uncertainties over wind availability. The loss of wind probability performance index is introduced to measure the probability of wind curtailment in each connection point of the system, and it is used to prevent wind farms from being underused. The proposed methodology is tested in modified versions of the 24-bus IEEE reliability test system and the IEEE 118-bus test system.
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页码:2583 / 2593
页数:10
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