Optimal Peer-to-Peer Power Dispatch in Islanded DC Clustered Nanogrids for Rural Electrification

Rural electrification is a global concern that needs to be addressed. Energy poverty harms human health and the environment due to excess usage of conventional resources. The most feasible option for rural electrification is through DC microgrids using renewable energy resources. In this paper, an islanded DC microgrid consisting of clusters of nanogrids is modeled using the branch flow model. The optimization algorithm is proposed to manage the power-sharing among neighbors. Each nanogrid is independent and can operate as both a prosumer and a consumer. The nanogrids utilize resource sharing and usage diversity to form a distributed microgrid architecture. However, the control algorithm is centralized. The research aims to dispatch optimal power at each nanogrid to help in peer-to-peer energy sharing. The optimization algorithm is implementable on different clusters of nanogrids which can be separated at any time to perform as stand-alone systems.