Research on Intelligent Scheduling of Heat and Power Loads for Complex Heating System of a Cogeneration Power Station
Cogeneration is an effective way to enhance the energy utilization efficiency of coal-fired power units.The comprehensive energy utilization efficiency of cogeneration power plants can be improved through the optimal scheduling of heat and power loads of cogeneration power plants.In this paper,the operational and energy consumption characteristics of different types of cogeneration units under variable working conditions were obtained for the cogeneration power station composed of five cogeneration units and two heating networks.The operation optimization model of the cogeneration power station was devel-oped with particle swarm intelligence algorithm,and the heating optimization of two heating networks was carried out with the minimum total coal consumption as the optimization goal.The results show that under different external power and heating loads,compared with the existing common load scheduling methods such as average distribution,the optimal scheduling results obtained by the particle swarm optimization algorithm can reduce the total coal consumption of the whole plant by about 3.1-13.6 t/h,accounting for 0.97%-2.27%of each total coal consumption.
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