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Decoding the 'Nature Encoded' Messages for Distributed Energy Generation Control in Microgrid

机译:解码“自然编码”消息,以实现微电网中的分布式能源发电控制

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The communication for the control of distributed energy generation (DEG) in microgrid is discussed. Due to the requirement of realtime transmission, weak or no explicit channel coding is used for the message of system state. To protect the reliability of the uncoded or weakly encoded messages, the system dynamics are considered as a 'nature encoding' similar to convolution code, due to its redundancy in time. For systems with or without explicit channel coding, two decoding procedures based on Kalman filtering and Pearl's Belief Propagation, in a similar manner to Turbo processing in traditional data communication systems, are proposed. Numerical simulations have demonstrated the validity of the schemes, using a linear model of electric generator dynamic system.
机译:讨论了用于控制微电网中的分布式能源发电(DEG)的通信。由于实时传输的要求,系统状态消息使用弱或不使用显式信道编码。为了保护未编码或弱编码消息的可靠性,由于其时间上的冗余性,系统动态被视为类似于卷积码的“自然编码”。对于有或没有显式信道编码的系统,提出了两种基于卡尔曼滤波和Pearl's Belief传播的解码程序,类似于传统数据通信系统中的Turbo处理。数值模拟使用发电机动态系统的线性模型证明了该方案的有效性。

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