Aineistot 41-50 / 50
Cyber Security in Power Systems Using Meta-Heuristic and Deep Learning Algorithms
Supervisory Control and Data Acquisition system linked to Intelligent Electronic Devices over a communication network keeps an eye on smart grids’ performance and safety. The lack of algorithms protecting the power system ...
Online Recursive Detection and Adaptive Fuzzy Mitigation of Cyber-Physical Attacks Targeting Topology of IMG: An LFC Case Study
Due to the low inertia of inverter-based islanded microgrids (IMGs), these systems require a delicate and accurate load frequency control (LFC) scheme. The deployment of such a control scheme, which preserves the balance ...
A Review on Data-driven Security Assessment of Power Systems: Trends and Applications of Artificial Intelligence
Boosting the complexity of the electricity network, penetration of renewable resources, and modernization of power systems has resulted in an increase in the complexity of the power systems security assessment (PSSA). In ...
Wide-Area Composite Load Parameter Identification Based on Multi-Residual Deep Neural Network
Accurate and practical load modeling plays a critical role in the power system studies including stability, control, and protection. Recently, wide-area measurement systems (WAMSs) are utilized to model the static and ...
Hierarchical Stochastic Frequency Constrained Micro-Market Model for Isolated Microgrids
With the developments of isolated microgrids (IMGs) and prosumers in remote areas, energy trading has emerged as a critical aspect of IMGs. However, the lack of an upstream network and the low inertia of the system may ...
Markov-Based Reliability Assessment for Distribution Systems Considering Failure Rates
Switches (SWs) and renewable distributed generations (RDG) are subject to failure as well as other components of a system that are usually presumed fully reliable in the literature. It can lead to an overestimation of their ...
Risk Accessment of Machine Learning Algorithms on Manipulated Dataset in Power Systems
The emergence of the communication infrastructure in power systems has increased the variety and sophistication of network assaults. Intrusion Detection Systems’ (IDS) importance has increased in relation to network security. ...
Forecasting Crude Oil Prices using a Hybrid Model Combining Long Short-Term Memory Neural Networks and Markov Switching Model
Given the significant impact of crude oil prices on the global economy, accurately predicting their fluctuations is essential for effective decision-making in the energy sector. Therefore, this research aims to develop a ...
Optimal Sizing and Siting of Electric Vehicle Charging Stations in Distribution Networks With Robust Optimizing Model
Optimal planning of power distribution systems with local resources is crucial to meet energy demand and avoid disruptions in energy supply for consumers. This requires the system operators to manage available resources ...
A Resiliency-oriented Optimal Operation of Microgrids Considering Electric Vehicles
The sharp increase in renewable energy generation and the number of electric vehicles enhance power systems’ modernization, decarbonization, and decentralization. As a result, microgrids (MGs) with renewable energy integration ...