Abstract
The types of coal are multiplex in domestic small and medium sized boilers, and with unstable ingredients, the method of maintaining the amount of wind and coal supply in a fixed proportion of the wind adjustment does not always ensure the best economical boiler combustion process, the key of optimizing combustion is to modify reasonable proportion of wind and coal online. In this paper, a kind of fuzzy self-optimizing control based on differential evolution algorithm is proposed, which applied in the power plant boiler system, the boiler combustion efficiency has been significantly improved than previous indirect control. In this paper, a thermal power plant is our research object, in the case of determining the optimum system performance, the unit efficiency can be increased significantly using this method, and the important issues of energy efficiency of power plants can be successfully solved.
Highlights
Boiler combustion control system is a nonlinear system, and with the characteristics of time-varying, noise disturbing, pure hysteresis, the experience of the operator can’t be used with the conventional control methods
The self-optimizing simulation is used to find the best ratio of wind to coal, and combining differential evolution algorithm, the quantization factor y will be optimized, fuzzy control technology is used to regulate the speed of blower speed and coal feeder, 3 boilers of the thermal power plant cogeneration combustion efficiency significantly will be improved than previous indirect control, which is agreed with our above analysis
As seen from figure 3, when running with full capacity, boiler efficiency is improved as approximately 0.9% after using fuzzy selfoptimizing controller in the ratio of wind to coal than manual control, and incorporating the differential evolution algorithm into the boiler system, its efficiency can increased by approximately 0.2%, especially in low-load operation, efficiency is more significant
Summary
Boiler combustion control system is a nonlinear system, and with the characteristics of time-varying, noise disturbing, pure hysteresis, the experience of the operator can’t be used with the conventional control methods. Fuzzy control can be just applied to control the unknown or changing process for this kind of mathematical model [1].Using fuzzy theory and fuzzy control method, the experience of the operator can be summed up. The self-optimizing simulation is used to find the best ratio of wind to coal, and combining differential evolution algorithm, the quantization factor y will be optimized, fuzzy control technology is used to regulate the speed of blower speed and coal feeder, 3 boilers of the thermal power plant cogeneration combustion efficiency significantly will be improved than previous indirect control, which is agreed with our above analysis. BOILER FUZZY SELF-OPTIMIZING CONTROL SYSTEM AND DIFFERENTIAL EVOLUTION ALGORITHM
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