基于混沌蚁群算法的微网环保经济调度

随着化石能源的日益减少,以及日益增长的负荷需求,必须充分利用各地丰富的清洁和可再生能源,因此分布式发电技术备受关注。针对微网中太阳能光伏发电、风力发电等分布式发电的特点,考虑到不同类型、容量的分布式发电所消耗的燃料、效率、运行和维护费用、温室气体的排放量不同,以及太阳能光伏发电、风力发电的特殊性,提出了一种综合考虑发电成本与排放成本的微网环保经济调度的数学模型。针对发电成本与排放成本的不同权重,采用混沌蚁群优化算法,通过算例验证了数学模型与优化算法的正确性与有效性。

Environmental and economic dispatch of Microgrid using chaotic ant swarm algorithms

With the decreasing of the fossil energy source and the increasing of load demand,making full use of clean and renewable energy,distributed generation technologies gain more and more attentions.According to the characteristics of distributed generation in Microgrid,such as photovoltaic(PV) and wind turbine(WT),considering different fuel,efficiency,operation and maintenance costs,greenhouse gas emission level of distributed generation with various types and capacity,characteristic of PV and WT,a novel model environmental and economic dispatch of Microgrid was presented,which considered generation cost and emission cost.According to the different weights of generation cost and emission cost,the simulation results shows the correctness and validity of the model and chaotic ant swarm algorithms.