Thermal Power Load Optimal Distribution Of A Regional Combined Cycle Power Plant Based On Genetic Algorithm

This paper discussed thermal power load optimal distribution of a regional combined cycle power plant based on Genetic Algorithm.China proposes to achieve carbon peak in 2030 and carbon neutralization in 2060.With the characteristics of low carbon,high efficiency and flexibility,natural gas power will play an important role in China’s energy transformation.Combined cycle is a typical clean and efficient comprehensive utilization of energy.Through the cascade utilization of energy,it reduces the system energy consumption and improves the economic and environmental benefits.It has been widely used in recent years.For regional combined cycle units,scientific and reasonable load distribution of each unit is the internal requirement of enterprise development under the background of power marketization.On the premise of responding to the regional total load command,determine the thermal power load borne by each unit according to the thermal characteristics of each unit,so as to minimize the total fuel consumption of regional units,so as to maximize economic benefits.The research contents mainly include the following aspects:Firstly,principles and methods of thermal system modeling and simulation are combed.On this basis,taking a regional combined cycle unit as the research object,aiming at the mechanism and thermal characteristics of main components such as gas turbine,boiler and steam turbine,and referring to the unit design data,the thermal simulation software Ebsilon is used to model.Then,the simulation model of each unit is constructed based on the simulation model of each equipment.Finally,the simulation model is modified by using the actual operation data of each unit.By comparing the differences between the simulation data and the actual operation data under different working conditions,the simulation model is verified,and its accuracy can meet the needs of engineering optimization problems.Secondly,combined with the thermal characteristics of the combined cycle unit,the influence of variable working conditions such as atmospheric temperature,pressure and humidity on the unit load is analyzed,and the influence trend is verified by the simulation model data of the regional unit.Thirdly,for the optimal load distribution of regional units,the objective function is to maximize the economic benefits of regional units,and the constraints are given in combination with the characteristics of each unit.In order to obtain the gas consumption representing the main cost of the unit in the objective function,based on the unit simulation model data,the gas consumption characteristic curve of each unit is fitted by the least square method.Therefore,an evaluation system for optimal thermoelectric load distribution of a regional combined cycle unit is established.The improved genetic algorithm is used to optimize the thermal power load distribution of regional units.Compared with the conventional load distribution method,the optimized method reduces the total fuel consumption of regional units and improves the economic benefits of enterprises.Finally,the regional unit thermal power load optimization distribution system for engineering practice is studied,and the system architecture and workflow are proposed,which provides a basis for engineering practice.