大数据分析和人工智能对隐私和安全方面的关注 对于智能电网中的需求响应建模:一种未来主义的方法
S Sofana Reka1, Tomislav Dragicevic2, Prakash Venugopal3
1Centre for Smart Grid Technologies, School of Electronics Engineering, Vellore Institute of Technology, Chennai, Tamilnadu, India.
Heliyon
|August 22, 2024
概括
机器学习通过分析消费者数据以满足需求响应和负载预测来提高智能电网的安全性. 这种方法解决了不断发展的电网中的网络威胁和隐私问题.
科学领域:
- 电气工程 电气工程
- 计算机科学 计算机科学
- 网络安全 网络安全
背景情况:
- 现代电网正在演变为智能电网,需要先进的机器学习 (ML) 来实现大规模的安全.
- 智能电网中的连接性和数据增加需要强大的ML框架来有效管理信息.
- 网络威胁对互联智能电网系统中的消费者和公用事业数据构成重大风险.
研究的目的:
- 分析机器学习模型在确保智能电网安全方面的应用.
- 评估能源应用中各种ML算法的优点和局限性.
- 为 ML 驱动的智能电网安全提供对未来研究方向的见解.
主要方法:
- 对机器学习模型的详细分析,应用于智能电网中的网络物理系统.
- 检查用于需求响应建模,消费者属性学习和动态定价的ML算法.
- 评估ML用于负载预测和成本有效的数据采集.
主要成果:
- 机器学习为智能电网中处理大型数据集提供了有效的解决方案.
- 机器学习模型可以优化需求响应,负载预测和数据管理.
- 安全问题与ML算法的选择和实施密切相关.
结论:
- 机器学习对于保护智能电网免受网络威胁至关重要.
- 对ML算法能力和局限性的全面理解对于能源应用至关重要.
- 需要进一步的研究来推进基于ML的安全解决方案,用于未来的智能电网.
相关概念视频
Distribution Reliability and Automation
107
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
107
Fast Decoupled and DC Powerflow
178
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
178
Manipulation and Analysis
23
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
23
The Power Flow Problem and Solution
182
Power flow problem analysis is fundamental for determining real and reactive power flows in network components, such as transmission lines, transformers, and loads. The power system's single-line diagram provides data on the bus, transmission line, and transformer. Each bus k in the system is characterized by four key variables: voltage magnitude Vk, phase angle δk, real power Pk, and reactive power Qk. Two of these four variables are inputs, while the...
182
Levels of Use of a GIS
46
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
46
Steps in Outbreak Investigation
114
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
114


