Abstract
This paper presents a stochastic model for the long-term solution of security-constrained unit commitment (SCUC). The proposed approach could be used by vertically integrated utilities as well as the ISOs in electricity markets. In this model, random disturbances, such as outages of generation units and transmission lines as well as load forecasting inaccuracies, are modeled as scenario trees using the Monte Carlo simulation method. For dual optimization, coupling constraints among scenarios are relaxed and the optimization problem is decomposed into deterministic long-term SCUC subproblems. For each deterministic long-term SCUC, resource constraints represent fuel and emission constraints (in the case of…
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3Topics & keywords
Topics
Keywords
- Power system simulation
- Mathematical optimization
- Lagrangian relaxation
- Computer science
- Term (time)
- Monte Carlo method
- Stochastic optimization
- Electricity
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