Transmission network expansion planning considering uncertainty in generation and demand

This paper presents a mathematical model and a methodology to solve a transmission network expansion planning problem considering uncertainty in demand and generation. The methodology used to solve the problem, finds the optimal transmission network expansion plan that allows the power system to ope...

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Bibliographic Details
Main Authors: Escobar, A.H., Romero, R.A., Gallego, R.A.
Format: Conference Proceeding
Language:English
Subjects:
DC model
expansion planning
Gallium
genetic algorithm
Investments
Load modeling
long-term
Mathematical model
optimization
Planning
Proposals
transmission network
Uncertainty
uncertainty in demand
uncertainty in generation
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Summary:This paper presents a mathematical model and a methodology to solve a transmission network expansion planning problem considering uncertainty in demand and generation. The methodology used to solve the problem, finds the optimal transmission network expansion plan that allows the power system to operate adequately in an environment with uncertainty. The model presented results in an optimization problem that is solved using a specialized genetic algorithm. The results obtained for known systems from the literature show that cheaper plans can be found satisfying the uncertainty in demand and generation.
DOI:10.1109/TDC-LA.2008.4641803