Accelerated Distributed Energy Management for Microgrids

Conference · Wed Aug 01 00:00:00 EDT 2018

DOI:https://doi.org/10.1109/PESGM.2018.8586094· OSTI ID:1468153

Du, Wen ^[1]; Yao, Lisha ^[1]; Wu, Di ^[2]; Li, Xinrong ^[1]; Liu, Guodong  ^[3]; Yang, Tao ^[1]

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1. University of North Texas, Denton, TX
2. Pacific Northwest National Laboratory (PNNL)
3. ORNL

This paper considers the optimal energy management for a microgrid. The goal of optimal energy management is to minimize the total generation cost while meeting total demand and satisfying individual generator output limits. To achieve this goal, we develop a distributed algorithm based on the consensus theory and gradient estimation technique. Compared to the existing algorithms with diminishing step-sizes, the proposed algorithm enjoys a faster convergence speed due to the fixed step-size, and thus increases the computation speed, and reduces the computation and communication burden. The proposed distributed algorithm is applicable to both fixed and time-varying directed communication networks. We show that the convergence of the proposed distributed algorithm is achieved if the fixed communication network is strongly connected, or if the time-varying communication network is uniformly jointly strongly connected. Numerical simulation results are used to illustrate and demonstrate the effectiveness of the proposed algorithm.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Office of Electricity (OE)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1468153
• Resource Relation: Conference: 2018 IEEE Power and Energy Society (PES) General meeting - Portland, Oregon, United States of America - 8/5/2018 4:00:00 AM-8/9/2018 4:00:00 AM
• Country of Publication: United States
• Language: English