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Difficulties in expanding the generation and transmission system force modern power systems to operate often close to their stability limits, in order to meet the continuously growing demand. An effective way to face power system contingencies that can lead to instability is load shedding. This paper proposes a machine learning framework for the evaluation of load shedding for corrective dynamic security...
This paper presents a general multiagent system based framework for the control of microgrids. The main target is to present a system capable of integrating several functionalities and to propose a general scheme for the control of microgrids. This architecture should be adaptable to the complexity and the size of the system. The architecture is based on the idea of layered learning where the various...
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