Integration and adoption of open data standards for online and offline power system analysis

C. Shand, A. McMorran, G. Taylor
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引用次数: 3

Abstract

The scalable communication, processing and storage of data within a power network is becoming more and more necessary to ensure the reliability of the grid and maintain the security of supply to consumers. Not all communications are performed in the same timeframe, at the same frequency, or at the same time of day; this results in problems when trying to coordinate a power network and the necessary data exchange. Different open or proprietary standards are often incompatible with each other both in terms of their communication protocols and data models. This causes electricity companies and standards groups to develop their own method of data exchange thus resulting in problems for exchanging and integrating this data, both internally and externally. Overcoming the challenges with incompatible data structure, serialisation formats and communication protocols will make it easier to integrate systems and realise the potential of being able to integrate data across domains. These include the ability to integrate real-time data into offline analysis tools; or utilising smart-meter data to enable true real-time pricing for electricity markets.
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电力系统在线和离线分析的开放数据标准的集成和采用
电网内数据的可扩展通信、处理和存储对于确保电网的可靠性和维护消费者供电的安全性变得越来越必要。并非所有通信都在同一时间段、同一频率或一天中的同一时间进行;当试图协调电网和必要的数据交换时,这会导致问题。不同的开放或专有标准在通信协议和数据模型方面往往互不兼容。这导致电力公司和标准组织开发自己的数据交换方法,从而导致内部和外部交换和集成这些数据的问题。克服不兼容的数据结构、序列化格式和通信协议的挑战,将使系统集成和实现跨域数据集成的潜力变得更加容易。其中包括将实时数据集成到离线分析工具中的能力;或者利用智能电表数据为电力市场实现真正的实时定价。
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