基于物联网的微网容量多目标优化配置研究

作为分布式电源的良好载体,微网的容量配置是微网运行控制的前提。在总结多种分布式电源基本特性的基础上,考虑供电可靠与安全性、建造与运营成本经济性和环保效益等多个目标的综合效应,利用萤火虫算法对微网容量进行多目标的优化配置。通过算法性能的测试证明,优化设计后的微网系统达到了多目标优化,有效地提高了微网的运行效率。同时,借助物联网技术研发了相应的实现平台。

Research on multi-objective optimization of micro-network capacity based on Internet of Things

As a good carrier of distributed power supply,the capacity configuration of microgrid is the premise of micro-network operation control.The firefly algorithm is used to optimize the microgrid capacity Configuration based on the summary of the basic characteristics of distributed power supply.And this paper considers the comprehensive effect of power supply reliability and safety,construction and operation cost economy and environmental benefits,and so on.Through the test of the performance of the algorithm,it is proved that the optimized microgrid system achieves the multi-objective optimization and effectively improves the operation efficiency of the micro-net.At the same time,this article developed the corresponding implementation platform with the Internet of Things technology.