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Reliability-constrained dynamic transmission expansion planning considering wind power generation
- Source :
- Electrical Engineering. 102:2583-2593
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- 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.
- Subjects :
- Mathematical optimization
Computer science
020209 energy
Applied Mathematics
020208 electrical & electronic engineering
Monte Carlo method
Time horizon
02 engineering and technology
Moment (mathematics)
Electric power transmission
Transmission (telecommunications)
Transmission line
0202 electrical engineering, electronic engineering, information engineering
Point (geometry)
Electrical and Electronic Engineering
Reliability (statistics)
Subjects
Details
- ISSN :
- 14320487 and 09487921
- Volume :
- 102
- Database :
- OpenAIRE
- Journal :
- Electrical Engineering
- Accession number :
- edsair.doi...........04986918912c1e5a813de4269e1886d4
- Full Text :
- https://doi.org/10.1007/s00202-020-01054-y