摘要
为满足微网对于快速经济调度的需求,利用多代理系统的分布式计算能力,先令设备代理进行本地寻优,信息搜集代理再从中选出拥有全局最低平均价格的出力变化量,在多轮计算后使用微调找到近优解。此方法可兼容各种形式的成本函数。在60个不同场景中进行对比仿真,此方法分别在51和27个场景中的运算结果优于遗传算法和内点法,且在所有场景中运算速度明显更快,这保证了该文方法在大规模微网中的适用性。
A distributed economical dispatching method basing on multi-agent system is proposed to satisfy the requirement for fast calculation within a microgrid. In each iteration,Device Agent finds local optimum,Information Collecting Agent chooses global optimum from the collecting data of Device Agents. After several iterations,a fine-tuning process is activated to help finding the near-optimal solution. This method is compatible to different forms of cost functions.Emulation results indicate that this method provides better results in 51 and 27 out of 60 scenarios than that of genetic algorithm and interior point method do,respectively. It also calculates much fast in all scenarios and thus is suitable for large-scale microgrid.
作者
尹骁骐
丁明
Yin Xiaoqi;Ding Ming(School of Electrical Engineering and Automation,Hefei University of Technology,Hefei 230009,China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2020年第3期149-157,共9页
Acta Energiae Solaris Sinica
关键词
微网
分布式
高速
经济调度
多代理系统
microgrid
distributed
high calculation speed
economical dispatching
multi-agent system
