Optimization Of Regenerative System In Coal Fired Power Station Under Variable Operating Conditions

The energy consumption calculation model of 320 MW coal-fired power plant was established by the specific topology structure,energy balance equation and matrix analysis method.Some mathematical models that were pressure loss model of the pipeline,mathematical model of the condenser and mathematical model of the heater were established by the analysis of the variation of each parameter in the operation of unit.The extraction steam flow was optimized,which the solution space of the optimization problem of regenerative system and the population search space of genetic algorithm were mapped to each other.The basic genetic algorithm was improved by the dynamic crossover and mutation probability,the double initial population and the dynamic fitness function in order to enhance the global searching ability of genetic algorithm.The extraction stream flow of the regenerative system was optimized by the improved genetic algorithm.The extraction steam flow was the optimization variable,and the heat consumption rate of the turbine was the optimization goal.The optimization results show that the optimized extraction stream flow of high pressure heater is lower than original flow,and the optimized extraction stream flow is higher than designed flow in low pressure heater.The optimized heat consumption rate is less than the original value.The minimum optimum amount is about 22.7 kJ/(k W·h),and the maximum is about 50.1 k J/(k W·h).Three methods to change the heat transfer area of heater have been introduced in order that the extraction steam flow of the heater is the optimal value in each operating state.There are pipe blockage,micro heat transfer unit mean and adjusting water level method.This method has certain engineering application value for reducing the energy consumption of the unit.