Advances in Cooperative Control and State Estimation of Power Systems with Large Scale Renewable Energy Sources: 2nd Edition
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".
Deadline for manuscript submissions: 25 April 2025 | Viewed by 20
Special Issue Editors
Interests: power system operation and control; renewable energy integration into distribution systems; distributed algorithms; deep reinforcement learning and its application in networked systems
Special Issues, Collections and Topics in MDPI journals
Interests: integrated energy system; transportation electrification
Special Issues, Collections and Topics in MDPI journals
Interests: power system resilience enhancement; micro-grids, machine learning; smart grids; renewable energy integration; forecasting
Special Issues, Collections and Topics in MDPI journals
Interests: data analytics for condition monitoring and fault diagnosis of power equipment; state estimation of electrical power systems; asset operation optimization and assessment
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Renewable energy sources (RESs), such as wind and photovoltaic (PV) power, are rapidly growing due to a drop in their generation cost and their environmentally friendly nature, and this will become the theme of the next generation of power systems within the goal of carbon neutrality. However, as the penetration of RESs climbs, reverse power flows and distributed power iterations may challenge both the traditional voltage regulation system and protection scheduling in distribution systems. Furthermore, such an ongoing process of RES integration will induce significant power fluctuations on the power supply side, and it will simultaneously also continuously reduce the inertia of the power system. The combined effect of low inertia and significant power fluctuations challenges the frequency stability even in large power systems.
In addition, uncertainties of RESs are significantly introduced into both the generation side and demand side, which consequently challenge the effectiveness of traditional methods in the condition assessment, fault diagnosis, and life cycle management of power components in power systems. This requires innovations in the modeling, control, and state estimation of power systems, as well as life prediction, extension, and condition assessment.
This Special Issue aims to present and disseminate the most recent advances that are able to address challenges induced by large-scale RES integration, as discussed above.
Topics of interest for publication include, but are not limited to, the following:
- Operation and control of power systems with new energy sources.
- Measurement and control of transportation energy integrated systems.
- Modeling and control of renewable power generation.
- Life cycle assessment, pricing, policies, and energy planning.
- Artificial intelligence for renewable energies.
- Advanced monitoring, diagnosis, and big data analytic methods of electrical equipment.
- Ultra-low- and near-zero-energy consumption buildings with renewable energy integration.
- Power electronic converters and drives.
- Modeling of communication–control coupled systems.
- Frequency regulation in low-inertia systems with high wind penetration.
- Big data for industrial and energy systems.
- Smart metering, measurement, instrumentation, and control.
- Artificial intelligence for industrial process optimization.
- Optimization of industrial applications and energy systems.
Dr. Licheng Wang
Dr. Ying Han
Dr. Fang Yao
Dr. Shuaibing Li
Guest Editors
Manuscript Submission Information
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Keywords
- renewable energy sources (RESs)
- photovoltaic (PV)
- voltage control
- protection
- low-inertia system
- state estimation
- condition assessment
- carbon reduction
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