Distributed noise‐resilient economic dispatch strategy for islanded microgrids. Issue 14 (27th June 2019)

• Record Type: Journal Article
• Authors: Chen, Feixiong; Chen, Minyou; Xu, Zhao; Guerrero, Josep M.; Wang, Le Yi
• Is Part Of: IET generation, transmission & distribution. Volume 13:Issue 14(2019)
• Page Start: 3029
• Page End: 3039
• Publication Date: 2019-06-27
• Subjects: Monte Carlo methods -- power generation dispatch -- distributed power generation -- stochastic processes -- power generation control -- power generation economics; distributed generators -- additive noise -- islanded MG -- consensus algorithm -- consensus‐based implementation -- fully distributed manner -- peer‐to‐peer communication -- post‐iterate averaging technique -- additive communication noise -- existing ED strategies -- communication links -- different operation scenarios -- distributed noise‐resilient economic dispatch strategy -- islanded microgrids -- secure operation -- economic operation -- microgrid; Electric power production -- Periodicals; Electric power transmission -- Periodicals; Electric power distribution -- Periodicals; 621.3105
• DOI: 10.1049/iet-gtd.2018.5740
• Languages: English
• ISSNs: 1751-8687

Abstract

Abstract : Economic dispatch (ED) plays an important role in economic operation of the microgrid (MG). However, the communication links among distributed generators (DGs) may practically be corrupted by additive noise, resulting in erroneous deviations from ED commands. To deal with such issues, this study proposes a distributed noise‐resilient ED strategy for islanded MG. Owing to consensus‐based implementation, the proposed ED strategy is implemented in a fully distributed manner, which enables peer‐to‐peer communication among DGs without the necessity of a central controller. In addition, the proposed ED strategy involves post‐iterate averaging technique to further enhance its convergence under additive communication noise. In this way, different from the existing ED strategies, the proposed ED strategy is fully distributed and resilient to the communication noise. Furthermore, the effectiveness of the proposed ED strategy is evaluated on an islanded MG, where the communication links are corrupted by different levels of additive noise. Finally, in order to fully take account of the uncertainty and stochastic nature of different operation scenarios, the Monte‐Carlo simulations are carried out, of which the simulation results demonstrate that the proposed ED strategy is superior to the existing ED strategies, in terms of the convergence property under additive communication noise.