Aims and Scope
Computational Intelligence in Modern Power Systems (ISSN: 3139-5228) is an international, peer-reviewed journal dedicated to research at the intersection of computational intelligence, electrical engineering, power systems, and emerging energy technologies. The journal aims to promote innovative computational methods for the analysis, operation, control, optimization, protection, and management of modern power systems and smart energy networks.
Scope
The scope of the journal includes, but is not limited to:
Power Systems – Research on analysis, operation, planning, control, and management of electrical power systems.
Power System Analysis – Studies of power flow, fault analysis, stability, reliability, and system performance.
Power System Planning – Research on generation, transmission, distribution, and long-term power system planning.
Power System Operation – Studies on secure, efficient, and reliable operation of modern power networks.
Power System Control – Development of advanced control methods for improving power system performance and stability.
Computational Intelligence – Application of intelligent computational methods to complex power system problems.
Artificial Intelligence in Power Systems – Applications of AI techniques for prediction, control, optimization, and decision-making.
Machine Learning – Research using machine learning for power system monitoring, forecasting, diagnosis, and optimization.
Deep Learning – Application of deep neural networks to complex power system and energy-related problems.
Fuzzy Logic Systems – Use of fuzzy logic for power system control, modeling, protection, and decision-making.
Neural Networks – Application of neural-network models to prediction, classification, control, and power system analysis.
Evolutionary Computation – Use of genetic algorithms and evolutionary methods for power system optimization.
Metaheuristic Optimization – Application of advanced optimization algorithms to energy and power system problems.
Power System Optimization – Development of optimization techniques for generation, transmission, distribution, and energy management.
Smart Grids – Research on intelligent, flexible, automated, and digitally connected electrical grids.
Microgrids – Studies on design, operation, control, optimization, and energy management of microgrids.
Distributed Energy Resources – Research on integrating distributed generation, storage, and flexible energy resources.
Renewable Energy Integration – Studies on integrating solar, wind, hydro, and other renewable sources into power systems.
Solar Power Systems – Research on photovoltaic generation, forecasting, control, optimization, and grid integration.
Wind Energy Systems – Studies on wind power generation, forecasting, control, and grid integration.
Energy Storage Systems – Research on batteries, storage technologies, control, optimization, and grid applications.
Battery Energy Storage – Studies on battery modeling, management, charging, degradation, and grid integration.
Electric Vehicles – Research on electric vehicle integration, charging infrastructure, vehicle-to-grid systems, and energy management.
Demand Response – Studies on intelligent demand management, load shifting, and consumer-side energy optimization.
Load Forecasting – Application of computational and statistical methods for short-, medium-, and long-term electricity demand prediction.
Renewable Energy Forecasting – Development of intelligent methods for predicting renewable energy generation.
Power Quality – Research on voltage disturbances, harmonics, power factor, and methods for improving power quality.
Power System Stability – Studies on transient, voltage, frequency, and small-signal stability of power systems.
Frequency Control – Research on frequency regulation, load-frequency control, and intelligent frequency management.
Voltage Control – Studies on voltage regulation, reactive power management, and voltage stability.
Power System Protection – Development of intelligent methods for fault detection, classification, protection, and system security.
Fault Detection and Diagnosis – Application of computational intelligence to identify and classify faults in power systems and equipment.
Power System Reliability – Research on reliability assessment, risk analysis, resilience, and secure power system operation.
Power System Resilience – Studies on protecting and restoring power networks against extreme events and system disturbances.
Smart Energy Management – Intelligent methods for optimizing generation, consumption, storage, and energy resources.
Energy Management Systems – Research on computational approaches for efficient and coordinated energy system operation.
Distributed Generation – Studies on planning, control, optimization, and integration of distributed power generation.
Power Electronics – Research on converters, inverters, controllers, and power electronic technologies for modern power systems.
Smart Inverters – Studies on intelligent inverter control, grid support, and renewable energy integration.
FACTS Devices – Research on flexible AC transmission systems, power flow control, and system stability enhancement.
HVDC Systems – Studies on high-voltage direct-current transmission, control, protection, and optimization.
Transmission Systems – Research on intelligent monitoring, planning, control, optimization, and operation of transmission networks.
Distribution Systems – Studies on modern distribution networks, automation, optimization, and intelligent control.
Distribution Automation – Application of intelligent technologies for automated monitoring, protection, and control of distribution networks.
Power System Monitoring – Research on real-time monitoring, measurement, state estimation, and system awareness.
State Estimation – Development of computational methods for accurate estimation of power system operating conditions.
Phasor Measurement Units – Research using synchronized measurements for monitoring, protection, stability, and control.
Digital Twins for Power Systems – Development of digital representations for simulation, monitoring, prediction, and optimization of power networks.
Cybersecurity of Power Systems – Research on cyber threats, intrusion detection, secure communication, and protection of critical energy infrastructure.
Blockchain in Energy Systems – Applications of blockchain for energy trading, distributed management, security, and decentralized energy systems.
Internet of Things in Power Systems – Use of connected sensors and IoT technologies for monitoring, control, and smart energy management.
Smart Metering – Research on intelligent metering, data analytics, demand management, and consumer energy monitoring.
Energy Trading and Markets – Computational methods for electricity markets, energy pricing, trading, and market optimization.
Peer-to-Peer Energy Trading – Research on decentralized energy exchange and intelligent local energy markets.
Power System Economics – Studies on economic dispatch, unit commitment, cost optimization, and energy resource allocation.
Unit Commitment – Optimization of generation scheduling to achieve reliable and cost-effective power system operation.
Economic Dispatch – Computational methods for optimizing generation allocation and reducing operating costs.
Optimal Power Flow – Research on intelligent and optimization-based approaches to power flow management.
Carbon-Aware Power Systems – Research on reducing emissions and optimizing power systems for sustainable energy operation.
Decarbonization of Energy Systems – Computational approaches supporting renewable integration, electrification, and low-carbon energy transitions.
Modern Energy Networks – Research on intelligent, interconnected, flexible, and sustainable power and energy networks.
Emerging Computational Technologies – Innovative computational methods and emerging technologies addressing complex challenges in modern power systems.