Predicting the electricity coal ratio using the wind coal ratio and water coal ratio and its application in coal-fired generating unit operation optimization
In the context of intelligent power generation,it is necessary to explore in-depth methods for analyzing and utilizing the opera-tional data of coal-fired power generation units.The economic performance of unit operation is usually characterized by the coal consump-tion of power generation(power supply),which is essentially the ratio of fuel consumption to power generation.This article proposes to use the ratio of electricity to coal-the ratio of power generation to fuel to calculate the operating economy of a coal-fired boiler,forming a main conceptual system where the air coal ratio,water coal ratio,and electricity coal ratio are all measured based on unit fuel quantity.Contrary to the lower coal consumption and better economy,the higher the ratio of electricity to coal and the better the economy,indicating that the effective output generated by unit fuel consumption is the highest.Based on the actual operating data of a 600 MW coal-fired gen-erating unit with a down-fired boiler,the electricity coal ratio,air coal ratio,and water coal ratio were calculated,and the air coal ratio and water coal ratio were used to predict(fit)the changes in the electricity coal ratio through a quadratic function,with good prediction results.The variation law of the quadratic function and the range of values for the current air coal ratio and water coal ratio of the unit can provide quantitative basis for optimizing and adjusting the air coal ratio and water coal ratio of the unit operation.The experimental results of the online monitoring of three-dimensional combustion in the furnace and the closed-loop optimization control system of the boiler indicate that the improvement direction of the air coal ratio and water coal ratio obtained from the prediction model based on this method is consist-ent with the changes in the actual parameters of the optimized operation.The increase in the electricity coal ratio of the unit before and af-ter the experiment reached 2.42％,achieving practical results in improving the economic efficiency of the unit operation,and proving the practicality of the analysis method in this paper.
coal-fired power generation unitair coal ratiowater coal ratioelectricity coal ratioeconomybig data analysis
万方数据
维普
