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With the coal consumption increasing gradually, coal blending is becoming a routine work in power stations. Due to the fluctuation of the coal quality, coal blending is in fact an optimization problem under uncertain conditions, so that it is difficult to solve with the traditional linear programming model. On the other hand, BP neural network, a nonlinear optimization tool, has been successfully...
This paper presents an strategy approach to solve the optimal power flow (OPF) problem for reactive power dispatch which generally requires many power flow calculations. Artificial neural networks are employed to learn in an offline mode and substitute the role of power flow in the OPF which is formulated as a mix integer nonlinear optimization with network loss minimization as the objective. This...
A linear optimization problem is formulated to enable the independent system operator (ISO) to make least cost decisions for purchasing ancillary services. The ISO is responsible for adjusting the schedules resulting from the market clearing process to eliminate congestion [M. Gibescu and C.C. Liu, 1998]. Both the sequential and the simultaneous DC formulations for congestion management and ancillary...
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