Heat source shunting type waste heat power generation system and particle swarm optimization control method thereof

Abstract

The invention discloses a heat source shunting type waste heat power generation system and a particle swarm optimization control method thereof. The heat source shunting type waste heat power generation system comprises an evaporator and a preheater, the evaporator is connected with an expansion machine, the preheater is connected with a working medium pump, the working medium pump is connected with a condenser, the expansion machine is connected with the condenser, and the condenser is connected with a cold water pump; the cold water pump is connected with the cold water pipe; the particle swarm optimization control method comprises the following steps: setting a variable change interval based on a particle swarm algorithm program in Matlab, calculating the fitness of particles, and obtaining an optimal evaporation temperature tevap' by using a genetic algorithm; the optimal primary split ratio is rsp1', the secondary split ratio is optimized to be rsp2', and the maximum net output power Wnet'; and optimizing the shunting flow of the system. The particle swarm optimization is used as an optimization control method, and the particle swarm optimization is used for optimizing the independent variables of the heat source shunting waste heat power generation system under the non-design working condition, so that the maximum net output power operated under the optimal control independent variable condition is obtained.

Description

technical field [0001] The invention relates to the technical field of waste heat power generation, in particular to a heat source split type waste heat power generation system and a particle swarm optimization control method thereof. Background technique [0002] Organic Rankine Cycle (ORC) is a technology in the chemical industry that uses waste heat to generate electricity. After the organic Rankine cycle system design and equipment selection are completed, due to the uncertainty of the external environment and some operating conditions, the actual operating conditions will often be different from the designed operating conditions, mainly reflected in the changes in the cold source and heat source. It is difficult to obtain the maximum net output power in actual operation. Moreover, the existing research has not simulated and optimized the actual operation of ORC from the theory and optimization algorithm. Therefore, the present invention proposes a heat source shunting...

AI Technical Summary

Problems solved by technology

After the organic Rankine cycle system design and equipment selection are completed, due to the uncertainty of the external environment and some operating conditions, the actual operating conditions will often be different from the designed operating conditions, mainly

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