摘要
为提高主动电网调度数据动态生成速度,设计多间歇能源消纳下主动电网调度数据动态生成方法。建立主动电网网络拓扑模型,划分电网调度邻居节点集合,定义数据生成树最短路径;计算多种能源消纳环境下数据流量负载,优化多间歇能源消纳主动电网流量负载结构;计算数据队列长度,设计数据动态生成算法。实验结果表明,在单能源数据动态生成时间测试中,风力发电与光伏发电均依赖于风力与太阳光照射,因此在不同时间拥有不同的数据生成速度,火力发电与储能发电更稳定,在不同时间内数据生成速度相差不大。在多能源数据动态生成时间测试中,不同能源结构下数据生成速度有较大区别,且基本与单能源结构相符。
In order to improve the dynamic generation speed of active power grid dispatching data,a dynamic generation method of active power grid dispatching data under multi intermittent energy consumption is designed.The topology model of active power grid network is established,the neighbor node set of power grid dispatching is divided,and the shortest path of data spanning tree is defined;The data flow load under multi energy consumption environment is calculated,and the flow load structure of multi intermittent energy consumption active power grid is optimized;The length of data queue is calculated and the algorithm of data dynamic generation is designed.The experimental results show that in the single energy data dynamic generation time test,wind power generation and photovoltaic power generation are dependent on wind and sunlight,so they have different data generation speed at different times,thermal power generation and energy storage power generation are more stable,and the data generation speed is similar in different times.In the dynamic generation time test of multi energy data,the data generation speed is different under different energy structure,and basically consistent with the single energy structure.
作者
陈栋
CHEN Dong(Shenzhen Power Supply Bureau Co.,Ltd.,Shenzhen 518000 China)
出处
《自动化技术与应用》
2023年第9期176-179,182,共5页
Techniques of Automation and Applications
关键词
多间歇能源消纳
主动电网调度
数据动态生成
电网数据
multi intermittent energy consumption
active power grid dispatching
data dynamic generation
grid data