摘要
设备容量优化和运行策略优化是分布式能源系统设计、运行的关键问题。为实现分布式能源系统的经济效益、能效水平和环境效益最大化,针对楼宇型分布式能源系统建立了相对普适化的物理模型和数学模型,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,并给出运行策略。以某写字楼的分布式能源系统为例,得到最优的系统设备容量和全年逐时运行策略,并采用遍历法验证计算结果的准确性。优化的分布式能源系统与传统分供系统相比,费用年值降低7.79%,年总能耗降低24.18%,污染物排放量减少了62.77%。
Equipment capacity optimization and operational strategy optimization are key issues in the design and operation of distributed energy systems. In order to achieve the maximize of economic benefits, energy efficiency level and environmental benefits, a relatively universal physical model and mathematical model are established for the building-type distributed energy system, adopting a combination of particle swarm optimization algorithm and linear programming algorithm. By using a two-stage optimization method the optimal operating strategy and optimal capacity configuration of the system are obtained. Taking the distributed energy system of an office building as an example, the optimal system equipment capacity and year-to-day running strategy are obtained, and the traversal method is used to verify the accuracy of the calculation results. Compared with the conventional separation production system, the optimized distributed energy system reduces the annual cost by 7.79%, the annual total energy consumption by 24.18%, and the pollutant emissions by 62.77%.
作者
王智
尹楠
杨佳霖
WANG Zhi;YIN Nan;YANG Jialin(School of Energy,Power and Mechanical Engineering,North China Electric Power University,Baoding 071000,China;Datang Corporation Renewable Energy Science and Technology Research Institute,Beijing 100040,China)
出处
《热科学与技术》
CAS
CSCD
北大核心
2020年第5期464-471,共8页
Journal of Thermal Science and Technology
基金
国家自然科学基金资助项目(51306059)。
关键词
分布式能源系统
粒子群优化算法
线性规划
运行策略优化
容量配置优化
distributed energy system
particle swarm optimization algorithm
linear programming
operational strategy optimization
capacity optimization
