Use of statistical analysis in power plant performance monitoring
Through statistical analysis of power plant data, the main parameters that affect plant efficiency are identified and allowed to exceed nominal limit control, which solves the problem of inaccurate efficiency evaluation in the existing technology, achieves more precise performance monitoring and optimization, and adapts to dynamic electrical market environment.
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[0022] Computer-based digital automatic control systems, which now exist in many power plants, allow near continuous monitoring and control of plant performance by monitoring all performance parameters (or losses) on-line and by allowing direct operator supervision and supervision. Improvements in the quality of measurement equipment and tools have also greatly eased the tasks of periodic heat rate testing and warranty. However, the high-quality nature of automated distributed control systems (DCS) linked to common optimization systems (which act in place of the operator during normal unit operations) has reduced the possibility of obtaining simple exponential improvements in efficiency. To this end, the main task of performance monitoring can now be changed to the actual detection of possible losses associated with operating a particular generating unit in a market-based generation allocation.
[0023] To this end, a new method of implementing power plant performance monitori...
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