Coordinated planning of networked intelligent buildings and integrated energy systems in parks based on Metaheuristic algorithms

Abstract

There are numerous energy equipment and systems within networked intelligent buildings and parks, involving multiple energy types and energy interactions and coupling relationships between multiple buildings. This has led to an increase in the complexity and uncertainty of the integrated energy system between networked intelligent buildings and parks, making coordinated planning more difficult. To this end, a meta heuristic algorithm based coordinated planning method for networked intelligent buildings and integrated energy systems in parks has been proposed. Using a master-slave game, design a coordinated planning framework for networked intelligent buildings and integrated energy systems in the park. On this basis, a coordinated planning model for networked intelligent buildings and the comprehensive energy system of the park is constructed. Based on the simulated annealing algorithm in the metaheuristic algorithm, the coordinated planning model between networked intelligent buildings and the comprehensive energy system in the park is solved to achieve coordinated planning between networked intelligent buildings and the comprehensive energy system in the park. The experimental results show that the coordinated planning effect of the networked intelligent building and the comprehensive energy system in the park proposed in this paper is good.