Study On An Optimal Operation Of Steam Power System With Environmental Concerns

An operation and regulation of steam power system is important for energy utilization ratio and atmosphere pollution control. Steam power system, in one hand, provides technical steam, power, electricity, heat etc. for process industry like chemical plant and oil refinery; it is, in other hand, a big energy-consuming user and main environment pollution provider. Therefore, study on an optimal operation of steam power system is important to save energy and minimizes pollutants emission. The main research includes:1) Based on a systematic analysis of some main equipment performance of steam power sys including boiler, steam turbine, waste heat boiler etc., this dissertation has proposed system mathematic model, which can reasonably describe system equipment performances. In addition, in view of relative system equipment practical operation conditions seven optimal operation guidelines were also generalized, which can qualitatively forecast some equipment optimally economic operation if it prior operates under some certain working conditions.2) Pollutants emission effects have been especially considered in the study on steam power system economic operation, and accordingly, mathematic models are recommended for pollutants emission. Thus, the optimal steam power system gives attention to two considerations: system economic efficiency and atmosphere pollution.3) After synthetically considering the cost of changeover between periods of operation, the non-linear changes of boilers efficiency, non-linear turbine work, steam power system pollutants emission etc., the dissertation, in steam power system optimal frame, suggested an optimal operation model of steam power system. And yet, in view that the above academic model cannot be effectively resolved by existing classic algorithms, especially the possible combination dimensions of the system will show exponential growth with the number of units and periods. The paper recommends an improved genetic algorithm, which can rapidly find the optimal solution.4) The paper solved two steam power system examples via the improved genetic algorithm. And the final results indicate that the total operational cost rises from 4.2 % ~7.87 % when pollutants are considered; and that optimal operation need not to be the minimal fuel consumption especially when general fuel cost and pollutants emission cost are both considered. Remarkably, the equipment operational conditions, estimated by the two examples results, very inosculate the equipment optimal operational guideline proposed. With the two examples solved, the model and it's solving strategy have been tested for theirs applicability and validity.