Enhanced primary frequency control from EVs: a fleet management strategy to mitigate effects of response discreteness. Issue 3 (19th June 2019)

• Record Type: Journal Article
• Authors: Zecchino, Antonio; D'Arco, Salvatore; Endegnanew, Atsede G.; Korpås, Magnus; Marinelli, Mattia
• Is Part Of: IET smart grid. Volume 2:Issue 3(2019)
• Page Start: 436
• Page End: 444
• Publication Date: 2019-06-19
• Subjects: electric vehicles -- power generation control -- distributed power generation -- frequency control -- power grids -- battery powered vehicles; microgrid -- EV fleet management solution -- droop characteristic -- individual EVs -- PFC -- power‐hardware‐in‐the‐loop approach -- controller performance -- response granularity -- enhanced primary frequency control -- fleet management strategy -- response discreteness -- electric vehicle chargers -- standard‐compliant fast primary frequency control -- potential effects -- power systems -- aggregated EVs -- frequency regulation -- possible consequences -- discrete response -- reserve provision error -- induced grid frequency oscillations; B8520 Transportation -- C3110G Frequency control -- C3340H Control of electric power systems -- B8120K Distributed power generation; Smart power grids -- Periodicals; Computer science -- Periodicals; Energy industries -- Periodicals; Broadcasting -- Periodicals; 333.79110285
• DOI: 10.1049/iet-stg.2018.0274
• Languages: English
• ISSNs: 2515-2947

Abstract

Abstract : Electric vehicle (EV) chargers can be controlled to support the grid frequency by implementing a standard‐compliant fast primary frequency control (PFC). This study addresses potential effects on power systems due to control discreteness in aggregated EVs when providing frequency regulation. Possible consequences of a discrete response, as reserve provision error and induced grid frequency oscillations, are first identified by a theoretical analysis both for large power systems and for microgrids. Thus, an EV fleet management solution relying on shifting the droop characteristic for the individual EVs is proposed. The PFC is implemented in a microgrid with a power‐hardware‐in‐the‐loop approach to complement the investigation with experimental validation. Both the analytical and the experimental results demonstrate how the controller performance is influenced by the response granularity, and that related oscillations can be prevented either by reducing the response granularity or by applying appropriate shifts on the droop characteristics for individual EVs.