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Dominion Energy:AVEVA PI 系统自动化 - 从 PI 标签到 AF 模型.pdf

上传人: 山哈 编号:724999 2025-07-04 21页 2.32MB

1、 Joshua M,Data Engineer Bruno B,Power and Utilities ConsultantWelcome toAVEVA PI System Automation From PI Tags to AF Models Driven by the GridThe electric utility and its service landscape are evolving rapidly For decades,the model was sound:Generation,transmission,and distribution worked as isolat

2、ed organizations The shift to renewables and a growing load on Dominion Energys system is posing new challenges that is demanding a transformation in the operating model More than 70%of the worlds internet traffic flows through Dominion Energys territory Data centers in Dominion Energys footprint ca

3、n account for up to 21%of our system loading By 2035,Virginias data center demand will require as much power as New York City(16.5GW)An Industry in FluxGenerationTransmissionDistributionFast-Paced Innovation is Tricky Like most big companies,we can suffer from a case of corporate segmentation and si

4、loing of our data Conventional business units continue to focus on their functional and operational needs The challenges of an evolving system will not wait,but the regulations are here to stay We need to enable a data environment that allows for nimble development and greater accessibility to infor

5、mation while ensuring we meet the complex regulations of our industryDominion is Big and RegulatedTransmissionDistributionGenerationITFinanceKey AccountsChallenge Our SCADA historian was increasing in size and complexity Thousands of new assets come online or get retired weekly Disparate business fu

6、nction means inconsistent dataIn an industry that avoids risk and change in the name of reliability,we had to take steps to build an environment that challenges decades of habitSolution Dominion deployed an evergreen centralized model that combines data from multiple systems of record for an intuiti

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本文介绍了Dominion Energy公司为应对电力系统快速变革所采取的数据自动化策略。关键点如下: 1. **行业变革**:随着可再生能源的增长和数据负载的需求,电力行业运营模式需要转型。 2. **数据挑战**:公司面临数据分割、业务功能不一致和监管要求严格等问题。 3. **解决方案**:部署了一个集中式数据模型,自动化资产框架(AF),整合了多个系统数据。 4. **核心数据**: - 数据中心需求到2035年将达16.5GW。 - 每周有5k至10k个点的更新。 - AF模型包括135K项分析,27K个元素。 5. **实施效果**:自动化减少了数据探索和清洗工作,集成了强大的建模软件,提高了决策智能化。 6. **后续发展**:计划将工程分析团队从4人扩展到16人,并进一步整合ESRI,推动业务案例实施。 通过这些措施,Dominion Energy提高了数据处理能力,支持了业务的快速发展,并减轻了技术债务。
"如何应对能源系统变革?" "数据能力升级,给 Dominion 带来了哪些改变?" "自动化PI系统,如何解放工程师劳动力?"
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