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This paper presents a distributed multi-agent scheme for enhancing the cyber security of smart grids which integrates computational resources, physical processes, and communication capabilities. Smart grid infrastructures are vulnerable to various cyber attacks and noises whose influences are significant for reliable and secure operations. A distributed agent-based framework is developed to investigate...
This paper presents the use of the multi-agent technology in order to enhance the transient stability of power systems by the dynamic evaluation of the critical clearing time (CCT) including the effect of the distance of fault locations and the impact of the renewable energy source (RES) integration. A multi-agent framework is developed in this research, where the intelligent agents use an algorithm...
This paper presents the use of an intelligent multi-agent system (MAS) approach to investigate the effect of a sudden change in generator load and the impact of integrating renewable energy sources (RESs) on the enhancement of the transient stability of smart power grids. In this proposed approach, an algorithm is developed through which intelligent agents properly coordinate a system's protective...
The critical fault clearing time is an indicator of transient stability margin and it changes with the generator load condition. If the protection devices are capable of operating before the critical clearing time (CCT) and also providing faster auto-reclosing as soon as the fault is cleared, then the system will not loose its synchronism and remain in stable operation. The goal of this paper is to...
In this paper, a new methodology for stability assessment of a smart power system is proposed. The key to this assessment is an index called betweenness index which is based on ideas from complex network theory. The proposed betweenness index is an improvement of previous works since it considers the actual real power flow through the transmission lines along the network. Furthermore, this work initiates...
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