Decentralized-distributed robust electric power scheduling for multi-microgrid systems. (1st July 2020)

• Record Type: Journal Article
• Authors: Qiu, Haifeng; You, Fengqi
• Is Part Of: Applied energy. Volume 269(2020)
• Publication Date: 2020-07-01
• Subjects: Multi-microgrids -- Decentralized-distributed scheduling -- Robust optimization -- Column-and-constraint generation -- Analytical target cascading; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2020.115146
• Languages: English
• ISSNs: 0306-2619

Abstract

Graphical abstract: Highlights: Decentralized-distributed robust scheduling model is proposed for multi-microgrids. Modified analytical target cascading method with consistency constraints is developed. Altering optimization procedure-looped CCG algorithm realizes fast modeling solution. Case studies are conducted for multi-microgrids under normal and faulty communications. Abstract: This paper proposes a novel decentralized-distributed (DD) adaptive robust optimization (ARO) method to address the efficient distributed scheduling of multi-microgrid systems involving various entities, uncertainties and accidental communication failures. To avoid an unavailable coordination center of the whole network, a DD-ARO model is firstly proposed based on the parallelizing-distributed (PD) framework, which allocates the task of tie-line power coordination in the virtual center to the neighboring stakeholders. According to the properties of nonlinear ARO, a modified analytical target cascading method is further developed to formulate the consistency constraints on shared tie-lines, thus guaranteeing the optimality and enhancing the solution quality of the DD-ARO model. Finally, an iterative solution algorithm is proposed to efficiently solve the resulting multi-level non-convex DD-ARO model. Case studies and computational results illustrate the effectiveness of the DD-ARO approach for an AC/DC hybrid multi-microgrid system under normal and faulty communications.