Analysis of Comprehensive Energy Dispatch Strategy for Green Buildings Based on Intelligent Optimization Algorithm

In response to the specific problems of low energy efficiency, high cost and significant environmental impact in the integrated energy scheduling of green buildings, this study introduces an intelligent scheduling strategy based on GA and PSO. This strategy achieves the optimization and upgrading of green building energy management through refined energy allocation and utilization. This paper first establishes a model of the integrated energy system of green buildings to clarify the input-output relationship and constraints of each energy system. Then GA is used to optimize the parameters of various energy systems in green buildings. GA iteratively adjusts the operating parameters of the energy system by simulating the biological evolution process to find the optimal energy scheduling solution. Secondly, PSO is combined for collaborative optimization. PSO optimizes the collaborative scheduling between multiple energy systems by simulating the foraging behavior of bird flocks. In the process of algorithm implementation, each energy system is regarded as a particle. By continuously adjusting the position and speed of the particles, the energy systems can work together to further improve the energy utilization efficiency. The intelligent scheduling strategy is superior to the traditional scheduling strategy in terms of energy utilization efficiency. Its energy efficiency reaches more than 90% on multiple data points, and the maximum value is close to 100%. In terms of operating costs, the average operating cost of the intelligent scheduling strategy is 597.775 yuan/day, which is much lower than the 1013.825 yuan/day of the traditional strategy. In terms of carbon emissions, the minimum carbon emissions of the intelligent scheduling strategy are 103 kg/day and the maximum carbon emissions are 297 kg/day, both of which are lower than the minimum value of 304 kg/day and the maximum value of 548 kg/day of the traditional scheduling strategy. Therefore, the intelligent scheduling strategy based on GA and PSO shows superiority and practicality in the comprehensive energy scheduling of green buildings, which can improve energy utilization efficiency and reduce operating costs and carbon emissions.