Power system state scheduling with the two-stage problem

Traditional statements of optimization problems in power system state scheduling lead to complexities at the on-line correction of variables. This paper considers a stochastic optimization problem with corrective functions of the given analytical type. The problem solution gives scheduled values of...

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Bibliographic Details
Published in:IEEE transactions on power systems 1999-05, Vol.14 (2), p.439-445
Main Author: Palamarchuk, S.I.
Format: Article
Language:English
Subjects:
Control systems
Deviation
Economic forecasting
Mathematical analysis
On-line systems
Optimal control
Optimal scheduling
Optimization
Power generation
Power system analysis computing
Power system control
Power system economics
Power system reliability
Power systems
Scheduling
Stochasticity
Tasks
Citations: Items that this one cites
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Summary:Traditional statements of optimization problems in power system state scheduling lead to complexities at the on-line correction of variables. This paper considers a stochastic optimization problem with corrective functions of the given analytical type. The problem solution gives scheduled values of the state variables and the adjustment coefficients for corrective functions. The corrective functions represent a response of the control system to the unforeseen deviations in operation conditions. The preliminarily obtained coefficients of corrective functions allow a very easy and quick organization of the on-line optimal state correction. Dual variables of the optimization task can be corrected as well for fast spot price adjustment. A case study demonstrating the efficiency of state control using the suggested approach is considered.
ISSN:0885-8950
1558-0679
DOI:10.1109/59.761863