Niche-PSO算法在建筑冷-热-电综合能源自动化调度中的应用

Application of Niche-PSO algorithm in automatic scheduling of integratedcooling heating and electricity energy in buildings energy

综合能源需求的多样化,给建筑冷-热-电综合能源自动化调度带来挑战。为优化建筑冷-热-电综合能源自动化调度效果,提出了基于小生境粒子群算法的综合能源自动化调度方法,首先,构建建筑冷-热-电综合能源自动化调度数学模型;随后,利用小生境技术对粒子群算法进行优化,提出采用小生境粒子群优化算法对调度模型进行求解;最后对该方法的有效性进行了检验。结果显示,能源浪费显著降低,夏季购电成本为2100元,相较于未优化方法降低了2100元。这表明,该方法提高了对各种能源的利用率,降低了综合能源系统运行的经济成本,有利于减少城市环境污染,推动城市的可持续性发展。

The diversification of comprehensive energy demand brings challenges to the automatic dispatching of building cold heat electricity comprehensive energy.In order to optimize the automatic dispatching effect of building cold heat electricity integrated energy,a comprehensive energy automatic dispatching method based on niche particle swarm optimization algorithm is proposed.First,a mathematical model of building cold heat electricity integrated energy automatic dispatching is constructed;Then,the niche technology is used to optimize the particle swarm optimization algorithm,and the niche particle swarm optimization algorithm is proposed to solve the scheduling model;Finally,the validity of the method is tested.The results show that the energy waste is significantly reduced,and the power purchase cost in summer is 2100 yuan,which is 2100 yuan lower than that of the non optimized method.This shows that the method improves the utilization rate of various energies,reduces the economic cost of the operation of the integrated energy system,and is conducive to reducing urban environmental pollution and promoting the sustainable development of the city.