A coordinated and optimised scheduling method for integrated energy systems based on improved genetic algorithm

Abstract

A coordinated and optimised scheduling method for integrated energy systems based on improved genetic algorithm is proposed in order to improve the energy output efficiency of integrated energy systems. The multi-objective and multi-time dynamic loading model for an integrated energy system is constructed, and the power flow equation for the multi-energy network of electricity, gas and heat is established. The objective function for the coordinated scheduling model of the integrated energy system is designed by introducing the improved genetic algorithm, and the configuration parameters of the objective function are optimised by improving the crossover, variation and the rules of its own cold and heat conversion, so as to realise the coordinated and optimised scheduling of the integrated energy system and get the final scheduling model. The test results show that the proposed method can improve the balance of energy output and the energy efficiency of the system and shorten the convergence time.