基于大数据的分布式中压配电网空间负荷分配方法研究

分布式中压配电网空间负荷分配涉及的数据量较大,当前分配方法通常为经验法或简单类比法,分配结果不可靠,无法达到用户要求。为此,提出一种新的基于大数据的分布式中压配电网空间负荷分配方法,在GIS平台上完成对空间信息的提取,将经数字化处理后的配电网空间地图分割为若干层,针对各子空间求出用户密度因素。对规则条件进行判断,选择能够使规则产生最佳效应的规则推理,针对能够被添加至当前规则集合中的所有节点,求出启发式函数的值,对全部路径节点信息素浓度进行更新,以获取配电网电力负荷元胞转换规则,确定各空间适于发展各类负荷的程度。以大数据为基础,通过全局最优分配法实现分布式中压配电网空间负荷分配。实验结果表明,所提方法分配结果佳,能够满足用户要求。

Distributed medium voltage distribution network based on big data space load distribution method research

the distributed load distribution of large amount of data of medium voltage distribution network space,the current distribution method is usually experience or simple analogy method,the distribution result unreliable,unable to meet the requirements of users.For this,put forward a new distributed medium voltage distribution network based on big data space load distribution method,on the GIS platform of spatial information extraction,after digital processing of the spatial distribution network map is divided into several layers,to calculate the user density factors for each subspace.To judge rule conditions,choose to make the rule reasoning rules to produce the best effect,aimed at the current rule sets can be added to all the nodes,and the value of the heuristic function node updates pheromone concentration for all paths,for distribution network power load cell transformation rules,determine the degree of space for development of all kinds of load,on the basis of large data,through the global optimal distribution method to implement distributed load distribution medium voltage distribution network space.The experimental results show that the proposed method the distribution result,can meet user requirements.