| 引用本文: | 丁盛舟,李永光,杜鹏,等.基于CIM/E的电网调度系统数据质量优化方法[J].电力系统保护与控制,2016,44(3):129-134.[点击复制] |
| DING Shengzhou,LI Yongguang,DU Peng,et al.Data quality optimization method of power grid scheduling system based on CIM/E[J].Power System Protection and Control,2016,44(3):129-134[点击复制] |
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| 摘要: |
| 针对电力数据采集与监视控制系统(Supervisory Control And Data Acquisition，SCADA)主站系统与变电站部分不良数据等数据质量问题，在分析现有电网调度系统数据质量的基础上，提出了一种用于提升电网调度系统数据质量的方法。该方法通过使用基于公共信息模型(Common Information Model，CIM)的高速模型交换格式CIM/E文本为载体的不同系统间的数据校验技术，采用改进的多源数据筛选较优质量数据的手段，以及根据主站状态估计对现场数据进行反馈的方法，提高了电网调度系统的整体数据质量。对比过去仅仅使用人工远程对点的方法，新的数据质量优化方式不仅提升了数据核对的自动化程度，而且节省了电力SCADA主站系统维护时间，同时减少主站系统与变电站部分不良数据的产生，整体数据质量优于从前。实践证明，这种提升电网调度系统数据质量的优化方法可以有效地提升电网调度系统的数据质量，从而保证电网调度系统安全、可靠的运行。 |
| 关键词: CIM/E 数据质量 多源数据 数据核对 状态估计 |
| DOI：10.7667/PSPC150620 |
| 投稿时间：2015-04-14修订日期：2015-05-05 |
| 基金项目:国家863高技术基金项目(2011AA05A118) |
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| Data quality optimization method of power grid scheduling system based on CIM/E |
| DING Shengzhou,LI Yongguang,DU Peng,MENG Xin,WEN Zhaoqi,WANG Xin |
| (Beijing Kedong Power Control System Co., Ltd., Beijing 100085, China;Xinjiang Electric Power Dispatch Center, Urumqi 830002, China) |
| Abstract: |
| To solve the increasingly prominent data quality problems about part of bad data in master station and substation in power SCADA system etc., a method for improving the data quality of power grid scheduling system is presented based on analyzing the current data quality in power grid scheduling system. This method obtains the data with optimal quality by utilizing advanced multi-source screening method and data verification technology between different systems applying the CIM/E based on CIM text as carrier and feedback data in substation according to state estimate in master station, improving the overall data quality in power grid scheduling system. New data quality optimization method, comparing with previous artificial remote comparing way, not only improves the degree of automation in data verification to save maintenance time in master station of power grid SCADA system, but also reduces bad data in master station and substation, so overall data quality is better than ever before. Practice has proved that the data quality optimization technology based on CIM/E in power grid scheduling system can effectively improve the data quality in power grid scheduling system, so it could ensure the power grid scheduling system run safely and stably. |
| Key words: CIM/E data quality multi-source data data verification state estimation |
