Distributed Dual Ascent Method for Optimal Power Generation in DC Microgrid with Power Loss. Issue 12 (2022)

• Record Type: Journal Article
• Authors: Hung, Nguyen Manh; Pham, Viet Hoang; Moore, Kevin L.; Back, Juhoon; Ahn, Hyo-Sung
• Is Part Of: IFAC-PapersOnLine. Volume 55:Issue 12(2022)
• Page Start: 765
• Page End: 770
• Publication Date: 2022
• Subjects: DC microgrid -- dual ascent -- consensus algorithm -- distributed optimization; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2022.07.405
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: Due to the numerous demands for integrating various energy resources and storage systems, microgrid is becoming a promising approach for future power systems. In this paper, we consider a network of distributed generators with an interconnection structure in which the distributed generators work cooperatively to accommodate all loads. Since there always exist power losses at each generator and on transmission lines, the total power generation is required to be larger than the total power load. Our purpose is to seek appropriate output voltages for generators to achieve a suitable tradeoff between total power minimization and voltage regulation while ensuring a given load demand. In order to solve such problems, we propose a fully distributed approach to eliminate the need for a central coordinator and preserve the privacy of agents. In addition, to guarantee reliability during operation, the output voltages are required to be kept in the safety constraints. The effectiveness of the proposed distributed algorithm is illustrated by numerical simulations.