Load Optimization Study Of Cogenera Tion Units Based On Multi-objective Algorithm

Cogeneration loaded distribution has always been the core of thermal power plant economy,and its research focuses on optimization method and model construction.In this paper,compared with the traditional optimization algorithm,an improved multi-objective algorithm is proposed to further improve the uniformity and flexibility of optimization.A numerical model is constructed with the operation records of several units of an energy company in Xinjiang,and the thermal characteristics of multiple units are modeled on the parameter mechanism of thermal power plant,and its reliability is verified.Further discuss the reasonable distribution mode of thermoelectric load of multiple units under various unit maintenance conditions,complete the optimization of thermoelectric load of multiple units under different conditions,and prove the rationality and accuracy of the scheme.Firstly,by introducing intuitionistic fuzzy set and intuitionistic fuzzy entropy,the behavior pattern of fish swarm particles in the population is adjusted,a new spatial planning method is added,three modes of fish swarm particles are used to improve the spatial search ability,and the behavior pattern coupled with the intuitionistic fuzzy concept is combined to avoid the population into the state of excessive convergence or divergence,and the multi-objective fish swarm algorithm is improved.The improved multi-objective fish swarm algorithm used in this paper has been verified and confirmed to be effective.Then,in order to find the optimal value of multi-unit thermoelectric load,collect the historical operation data of multiple units,analyze the internal relationship between fuel steamed ratio,steam capacity,power generation and power supply units with the help of thermodynamic theories such as coal consumption and heat consumption,find out the constraint conditions of the thermal load and the power load,analyze the characteristics of multi-unit cogeneration model,and verify the model with multi-objective algorithm.Compared with the actual data,the model is confirmed to be reasonable,and also contradicts the effective application of multi-objective algorithm in the model.Finally,the complex operating conditions of multi-unit operating cycle in unit maintenance is considered.Therefore,the multi-unit cogeneration model is used to correspond to the priority targets and special conditions of thermal power plants under different seasons and time,and the internal parameters are adjusted so that the multi-unit can operate flexibly.In this paper,the improved multi-objective fish swarm algorithm is used to calculate different working conditions,and the optimal distribution scheme of multi-unit thermoelectric load under different conditions at different times is obtained.Compared with the previous production data of the unit,it can be seen that this optimization algorithm can effectively improve the load utilization rate of the unit and reduce the heat and electric loss.