电器与能效管理技术Issue(3)：71-78,8.DOI:10.16628/j.cnki.2095-8188.2024.03.012
灰色马尔科夫链在低压光伏弃电量统计中的应用
Application of Grey Markov Chain in Statistics Low Voltage Photovoltaic Energy Abandonment Statistics
赵泽昆1
作者信息
- 1. 国网河南省电力公司新乡供电公司,河南新乡 453000
- 折叠
摘要
Abstract
The abandoned power of low voltage distributed photovoltaics,as an important criterion for regional division and energy storage capacity configuration,has long been unable to be accurately calculated.Starting with the source network load storage system,a low-voltage distributed photovoltaic curtailment statistical model is established based on grey Markov chain.The dual scenario of"weather+time"is used to construct a state transition matrix to statistically analyze the low voltage distributed photovoltaic energy abandonment.The test results show that the proposed method can accurately obtain low voltage distributed photovoltaic energy abandonment data and control the maximum error within 5％,which has certain promotional value.关键词
灰色马尔科夫链/低压分布式光伏/源网荷储系统/弃电量Key words
grey markov chain/low voltage distributed photovoltaics/source grid load storage system/energy abandonment分类
信息技术与安全科学引用本文复制引用
赵泽昆..灰色马尔科夫链在低压光伏弃电量统计中的应用[J].电器与能效管理技术,2024,(3):71-78,8.
