International Journal of Electrical Power & Energy Systems
Call for papers: Special issue on Data-Analytics for Stability Analysis, Control, and Situational Awareness of Power System with High-Penetration of Renewable Energy
摘要截稿:
全文截稿: 2019-02-28
影响因子: 3.588
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 工程技术 - 2区
• 小类 : 工程:电子与电气 - 3区
Overview
Call for papers: Special issue on Data-Analytics for Stability Analysis, Control, and Situational Awareness of Power System with High-Penetration of Renewable Energy
Modern power systems have seen an increasing renewable energy integration, such as wind and solar power. The high-level intermittent renewable energies have significantly complicated its static and dynamic characteristics due to the highly stochastic power generation outputs and power-electronics interface to the grid. Therefore, more effective methodologies are needed to maintain the system’s stability at an acceptable level.
Along with the smart grid development, modern power systems are also entering a “data-intensive” era, where a vast volume of data is collected through advanced sensing and communication technologies, such as SCADA measurement, smart metering data, synchrophasor measurements, and meteorological data (e.g., wind speed and solar irradiance) related to renewable power generation, etc. Such multi-scale temporal and spatial data set contains comprehensive information about the power system static and dynamic characteristics, renewable generations, load customers’ electricity usage patterns, etc. If they are effectively used, enhanced power system stability analysis, control and situational awareness can be achieved.
In recent years, the advanced data-analytics and its applications to engineering field have received significant attention. Unlike conventional model-based methods, which rely heavily on the accuracy of the model being used and is computational intensive, the data-driven methods leverage the advanced data-analytics to extract system actual operating characteristics from the multi-scale temporal and spatial data and turn them into actionable information for further operation, control, and planning. Thus, they are not affected by the model quality and their computing efficiency can be high for real-time applications.
This special issue is devoted to collect the state-of-the-art on data-analytics for power system stability analysis, control, and enhanced situational awareness and pave the way for a smarter and more resilient power systems with high-level of renewable energy integration. Prospective authors are invited to submit original contributions and survey papers in these areas. Papers dealing with real-world problems and practical applications of data-analytics for high-level renewable penetrated system stability analysis, control, and situational awareness are particularly encouraged. Topics of papers include but are not limited to:
· Measurement-based power system monitoring and stability assessment
· PMU and micro-PMU applications in power grids
· Data-driven renewable power generation forecasting
· Mitigating the impacts of data-quality issues
· Fraud detection in smart meter data
· Predictive data-based power system stability assessment
· Residential customer load pattern recognition for power system dynamic modeling
· Wide-area protection and visualization of smart transmission system
· Enhanced situational awareness of power system dynamic behavior
· Data-driven power system stability control and knowledge extraction