Optimal Design For The Regenerative Heating System Of Steam Turbine Unit Based On Particle Swarm Optimization

Regenerative heating system is the core of the thermal system, which plays a decisive role for unit’s thermo-economy. So, it has important significance to optimize the regenerative heating system.Particle swarm optimization(PSO) as in the recent years developed a kind of new intelligent optimization algorithm, with its fast convergence and simple operation is becoming more and more attention. Aiming at the existence of basic particle swarm algorithm easy to fall in local best master faults, dynamic adaptive weight PSO is put forward to improve the inertia weight. A universal nuclear power unit regenerative system optimization model was established, and taking a 900 MW nuclear power unit for example, PSO was applied to solve the feed-water heating allocation problem of nuclear power units for the first time, and then compared with the original design scheme, average distribution method and genetic algorithm. The calculation result demonstrates that PSO has a better convergence ability and search performance, and is superior to other methods, so the superiority and feasibility of PSO is proved in the power generation design field.Introducing the solar energy into the conventional coal-fired power plants to realize solar-hybrid coal-fired power generation is an efficient way to reduce thermal power costs, decrease the green-house gas emissions and alleviate the shortage of energy. The thermal efficiency computing framework of unit that integrating solar heating system into the regenerative system of steam side is constructed, which adopted DSG trough solar collector. And on this basis, a general light coal complementary regenerative system optimization design model is established. Taking a 600 MW solar-hybrid coal-fired power plant as an object of study, PSO was applied to solve the feed-water heating allocation problem of this power plant, and computing and analyzing the thermal economic efficiency and hybrid generating cost of the unit for different integration schemes. The results demonstrates that: the unit thermal efficiency of all integration schemes have been improved to varying degrees after optimization; the scheme that the inlet water of the solar collector is quote from feed water pump and using steam at outlet of the heat collection system to replace the second stage extraction steam of turbine has the lowest hybrid generating cost.