Abstract:

To address the issues of low scheduling accuracy and low efficiency in traditional integrated energy system scheduling strategies under complex grid conditions,an intelligent dispatch strategy combining the adaptive whale algorithm with a grey clustering model is proposed.The whale algorithm is improved by dynamically adjusting inertia weight and convergence factors to enhance its global and local search capabilities.Additionally,a grey clustering model is employed to evaluate and classify equipment status,providing precise information support for dispatching.Experimental results show that the strategy achieves scheduling accuracy and efficiency of more than 99%,effectively reducing system operational costs and energy losses while significantly improving system performance and reliability.The research concludes that this method provides an effective foundation for intelligent optimization dispatching in power systems.

Key words: integrated energy system, adaptive whale algorithm, grey clustering model, scheduling strategy, experimental comparison