Virtual sensor systems and methods for estimation of steam turbine sectional efficiencies

摘要

Systems and methods of estimating an efficiency of a section of a steam turbine are disclosed. The systems and methods include determining a set of measurement data obtained directly from a set of sensors on the steam turbine, determining a set of derived data relating to measurements that cannot be obtained directly from the set of sensors, and estimating the efficiency of the section using the set of measurement data and the set of derived data. The systems and methods disclosed use physics-based models combined with nonlinear filtering techniques to estimate steam turbines' efficiencies when physical sensors are not available. These models capture the behavior of different components of the power plant, including all steam turbine sections, admission and crossover pipes, flow junctions, admission and control valves.

主权项

1. A system comprising:
at least one computing device configured to estimate an efficiency of a section of a steam turbine by performing actions including:
determining a set of measurement data obtained directly from a set of sensors on the steam turbine, via a processor, wherein the measurement data includes: a steam temperature and pressure at a first section inlet, a steam temperature and pressure at a second section inlet, a metal temperature at a second section outlet and a steam temperature and pressure at a third section admission pipe;determining a set of derived data relating to measurements that cannot be obtained directly from the set of sensors, via the processor, wherein the set of derived data includes: a first section main steam flow, a second section main steam flow, a packing steam flow, a third section admission pipe steam flow, a steam pressure and temperature at the first section outlet, a steam temperature and a crossover pipe pressure at the second section outlet; andestimating the efficiency of the second section, via the processor, using the set of measurement data and the set of derived data, wherein the first section has a pressure that is greater than a pressure of the second section.