典型楼宇型建筑的分布式能源系统优化设计及指标对比分析

Optimum Design and Index Comparative Analysis of Distributed Energy System for Typical Building

建立了一种针对楼宇型分布式能源系统的优化模型,以粒子群优化算法和线性规划相结合,采用两阶段优化方法计算系统的最优容量配置和运行策略。分析了四种典型楼宇型建筑的负荷特性,通过优化模型计算了各建筑的最优运行策略和容量配置,并对比了四种典型建筑的优化指标。结果表明,分布式能源系统最不适合于商场建筑,最适合于供需侧负荷差距小,热负荷较高且负荷波动性小的用户。

An optimization model for building type distributed energy system is established.The particle swarm optimization(PSO)algorithm and linear programming(LP)are combined to calculate the optimal capacity allocation and operation strategy of the system.The load characteristics of four typical building-type buildings are analyzed,the optimal operation strategy and capacity configuration of each building are calculated through the optimization model,and the optimization indexes of the four typical buildings are compared.The results show that the distributed energy system is the least suitable for shopping malls,and it is the most suitable for users with smaller load gaps on the supply and demand side,higher heat load and lower load fluctuations.