Distributed microgrid state estimation using smart grid communications

Recently, the renewable distributed energy resources (DERs) have become more and more popular due to carbon-free energy sources and environment-friendly electricity generation. Due to the intermittent power generation patterns, the smart grid has a strong requisite for an efficient communication infrastructure to facilitate estimating the DER states. Different from the traditional methods of centralised state estimation, we propose a distributed approach to microgrid state estimation based on the concatenated coding structure. In this framework, the DER state is treated as a dynamic outer code and the recursive systematic convolutional code is seen as a concatenated inner code for protection and redundancy in the system states. Furthermore, this paper proposes a distributed state estimation method. The simulation results show that the proposed method can successfully estimate the DER states.