| Aimed at units (300MW), coal consumption is analyzed at first in this paper. A statistical method is presented to fit coal consumption curve, which considers both history data and current data, and makes the curve closer to real unit. Then simple, integrated and factual multi-objective mathematic model which considered both coal consumption and load-changing time is built, dynamic programming and multi-objective optimization theory are used to solve the model. finally, the multi-objective optimization model and single-objective optimization model which only considered the coal consumption has been simulated under the same constrains by means of MATLAB, It is proved by the result of simulation experiments that multi-objective optimization has high efficiency and strong ability of global search than single-objective optimization, a more scientific and rational load distribution plan have been obtained.
|
PDF Full Text Request