摘要
为了充分发挥分布式电源的优势,在研究分布式电网潮流特性的基础上,提出了以网络损耗最小和运行最经济为主要目标的分布式电源运行目标函数。并利用改进后的萤火虫算法对函数进行了求解探索。仿真证明,利用更迭域自适应方法改进后的萤火虫算法可有效地解决多目标复杂模型,寻优速度和算法收敛性明显好于单一算法,能够很好地解决分布式电源的定容和定址等优化配置问题。
On the basis of research characteristics of distributed network,in order to make use of the advantages of distributed power source,distributed power operating objective function with the main goal of the least network loss and the most economic operation were introduced.The function was explored by the improved firefly arithmetic.The simulation show that the multi-objective complex model can be effectively solved using the arithmetic which is improved by altemating domain self-adaptation method.It is obvious that the velocity of optimization and the algorithm convergence are better than single arithmetic.Then the problem of optimal allocation could be solved well such as constant volume and addressing in the distributed power system.
出处
《电源技术》
CAS
CSCD
北大核心
2017年第10期1487-1489,共3页
Chinese Journal of Power Sources
关键词
分布式电源
优化配置
萤火虫算法
算法改进
distributed power supply
optimal configuration
firefly algorithm
algorithm improvement
