Multi-energy optimal dispatching based on multi-objective grey wolf algorithm

Abstract

Aiming at the optimization problem of operation dispatching of multi-energy systems including cold, heat, electricity and gas, in order to achieve the goal of energy saving and emission reduction, a microgrid optimization model including microsources such as fans, micro gas turbines, waste heat boilers, lithium bromide absorption chillers, etc. is established with the microgrid operation cost and new energy utilization rate as the optimization objectives. The improved multi-objective grey wolf algorithm (MOGWO) is used to solve the multi-objective model, which effectively compensates for the disadvantage that the grey wolf algorithm is easy to fall into local optimum. The simulation analysis shows that the algorithm has good solution speed and global search performance, which provides an optimal dispatching strategy for multi-energy systems, realizes flexible mobilization of microgrid, and achieves the effects of reducing operating costs and low grid-connected volatility.