Integrated Energy Optimal Dispatch of Industrial Park Based on Improved Grey Wolf Algorithm

As a physical unit providing integrated energy services directly to the load terminal, the micro-energy system in the industrial park is also an independent stakeholder in the future energy market. To ensure the sustainability of its business model, it is necessary to maximize its own benefits on the premise of meeting the basic energy guarantee of the park enterprises. In order to solve the nonlinear problem of multi-energy scheduling, it is necessary to preprocess it into a linear problem, which will lead to computational errors and affect the accuracy of the results. In this paper, the islanding optimal dispatching model of the micro-energy network in the park considering demand response not only realizes the “peak load shifting” of load and the reliable operation of the system in the islanding state, but also realizes the optimal autonomy of the energy supply and demand process and the economic operation of the system. Compared with the traditional particle swarm algorithm, the improved gray wolf algorithm in this paper has faster convergence speed and better solution results. The simulation results of typical days under grid-connected mode tell that the grid-connected operation scheduling model of the micro-energy grid in the park considering demand response can achieve high energy utilization and low pollutant emissions.