Interactive Logic Timing Optimization Simulation of Electricity Gas Heat Coupled Energy Network
In order to avoid the interactive logic conflict of the electricity-gas-heat coupled energy network and confirm the back-up capacity of the electricity-gas-heat coupling,an interactive logic timing optimization simulation method of the electricity-gas-heat coupled energy network is proposed.The dynamic model of the electricity-gas-heat coupled energy network composed of power and gas is established,and the interactive logic time series model is established according to the dynamic data of the elec-tricity-gas-heat coupled energy network.According to the constraints of the model,the imperialist competition algorithm is used to analyze the empire formation,the general mechanism and the empire competition of the interaction logic timing model of the electricity-gas-heat coupling energy network,and the optimization solution and the interaction logic of time series optimization are completed.The experimental results show that the method can effectively optimize the interactive logic sequence of the elec-tricity-gas-heat coupled energy network,which can effectively reduce the startup capacity of thermal power and improve the backup capacity of the coupled energy network.
coupled energy networkinteractive logictiming optimizationimperialist competition algorithm