Intelligent Control and Simulation of Power Systems
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A: Sustainable Energy".
Deadline for manuscript submissions: closed (30 May 2022) | Viewed by 9662
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Special Issue Editors
Interests: modeling of power systems; intelligent control; operation and dynamics performance of large power grids; emergency protection and control of power grids; reliability and security of energy systems; power industry restructuring
Interests: power grids; intelligent systems; microgrids; machine learning; autonomous systems; power systems flexibility; emergency control; modelling; renewable energy; digital twins
Special Issue Information
Dear Colleagues,
The problems of managing the operation of modern electric power systems of recent decades can be compared with the stages of growth of a child. Energy systems are becoming more autonomous, intelligent, and require less human involvement, provided that their reliability should remain high and efficiency should increase. In other words, there is an evolution of the traditional power system in the direction of a full-fledged intelligent grid, which has such properties as continuous self-monitoring of the state and self-healing of network components, deep penetration of renewable energy sources, the participation of active consumers, increased physical/cyber security and flexibility, etc. Such an intelligent transformation of power systems is largely due to the introduction of new information technologies (artificial intelligence, machine learning), the improvement of information collection and processing systems (PMU, WAMS/WAPS technologies, intelligent SCADA/EMS/DMS systems), as well as the emergence of new grid structures (hybrid AC-DC networks, integrated systems, microgrids) and adaptive control and regulation devices. The above-mentioned electric power system transformation will require a competitive approach of available principles and methods for modeling such systems, for studying their main properties, and for justifying their development and control of their operation.
Prof. Nikolai Voropai
Dr. Nikita Tomin
Guest Editors
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Keywords
- intelligent control
- power system
- simulation
- flexibility
- autonomous systems
- emergency control
- hybrid networks
- artificial intelligence
- machine learning
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