Distributed Interactive Energy Management for Networked Microgrids based on Nested Architecture

Distributed economic dispatch (DED) technology provides a number of potential benefits, such as privacy protection, fast response, reducing investment and robustness to single-node computational congestion. This paper proposes a distributed nested architecture and corresponding distributed algorithms for the interactive energy management (IEM) of microgrids (MG). First, nested distributed architecture integrates the advantages of hierarchical and fully distributed architectures. Such a system may serve with a service agent interacting with the respective MGs under the preset DED agreements. Second, distributed primary-dual-interior-point (D-PDIP) algorithm is developed, which enables the proposed IEM handle quadratic even nonlinear constrained global optimization problems in a fully distributed fashion. optimization model can also be generated by agent coordination in real-time. Finally, case studies of an actual networked MGs system demonstrate the effectiveness of our proposed methodology.