Training Deep Neural Network for Optimal Power Allocation in Islanded Microgrid Systems: A Distributed Learning-Based Approach

IEEE Transactions on Neural Networks and Learning Systems(2022)

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摘要
Currently, numerical optimization methods are used to solve distributed optimal power allocation (OPA) problems for islanded microgrid (MG) systems. Most of them are developed based on rigorous mathematical derivation. However, the complexity of such optimization algorithms inevitably creates a gap between theoretical analysis and real-time implementation. In order to bridge such a gap, in this ar...
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关键词
Optimization,Real-time systems,Heuristic algorithms,Approximation algorithms,Training,Resource management,Generators
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