Title :
The on-line guide system for energy-saving of power plant based on parameter variance analysis and logical matrix
Author :
Wang, Hui-Jie ; Zhang, Chun-Fa ; Ning, Zhao ; Song, Zhi-Ping
Author_Institution :
Key Lab. of Condition Monitoring & Control for Power Plant Equip., Minist. of Educ., Baoding
Abstract :
As a high level application module of SIS system, the on-line monitor and analysis system for energy-saving is widely applied to power plants. But the corresponding guide system which applied effectual guidance to realize optimal operation is still lack of sufficient research. The main purpose of the guide system is to confirm the certain reason which leads to energy loss among various reasons. Then the effective operating adjustment or timely maintenance could be implemented to reduce losses. As the symptoms, the operating parameters always depart from their target values. And the symptoms have determinated logical relations with certain reason which leads to energy loss. With detail description of the function and structure of the guide system, the concepts of operating target value and parameterspsila offset degree are put forward in this paper for the first time. And the curves of some important parameterspsila operating target values are obtained by off-design condition analytic method with analysis of historical data. Furthermore, the logical matrixes which quantitatively describe the logical relations between symptoms and reasons are established by the method of symbolic logic. The research of the paper provides the important theory foundation to the exploitation of the guide system for energy-saving in power plant.
Keywords :
computerised monitoring; energy conservation; matrix algebra; power engineering computing; steam plants; energy loss; logical matrix; off-design condition analytic method; online guide system; online monitor system; parameter variance analysis; power plant energy-saving; symbolic logic; Analysis of variance; Condition monitoring; Control systems; Cybernetics; Energy loss; Machine learning; Optimal control; Power generation; Power generation economics; Power system economics; Controllable Loss; Guidance System; Logical Matrix; On-Line Monitor; Operating Target Value; Variance Analysis;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620555