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Battery Energy Storage Systems (BESSs) and the Economy-Dynamics of Microgrids: Review, Analysis, and Classification for Standardization of BESSs Applications

The literature on microgrid (MG) studies can be categorized as those that investigated the dynamics or economics of MG systems. Due to the important roles of battery energy storage systems (BESSs) in MGs, the BESSs have been involved in both economics and dynamics studies but mostly separately due to the different time constants of studies. Whereas, in the complicated modern MGs, the BESS is the joint point that bridges these two studies. Thus, studying merely one aspect of economy-dynamic without considering the other aspect would not be accurate. To bridge this gap, this paper reviews, analysis and classifies the BESSs applications, based on their time constants, by merging of which helps researchers to develop joint economy-dynamics models that would be the future trend in the field. The classified BESS applications are 1) inertia synthesis, 2) primary frequency response to compensate slow response time of micro-sources (MSs) for load tracking, 3) real-time energy management for the integration of intermittent renewables, 4) economic dispatch and optimal power flow for improving steady-state performance, and 5) slack bus realization. The research gaps and future trends have been discussed throughout the paper and are summarized in the future trend section.
- UNSW Sydney Australia
- Nanyang Technological University Singapore
- University of Wollongong Australia
- University of Wollongong Australia
- Bu-Ali Sina University Iran (Islamic Republic of)
690, anzsrc-for: 4009 Electronics, 330, Engineering::Electrical and electronic engineering, Battery Energy Storage, 333, anzsrc-for: 40 Engineering, 4009 Electronics, :Electrical and electronic engineering [Engineering], 7 Affordable and Clean Energy, Renewable Energy, Sensors and Digital Hardware, 40 Engineering
690, anzsrc-for: 4009 Electronics, 330, Engineering::Electrical and electronic engineering, Battery Energy Storage, 333, anzsrc-for: 40 Engineering, 4009 Electronics, :Electrical and electronic engineering [Engineering], 7 Affordable and Clean Energy, Renewable Energy, Sensors and Digital Hardware, 40 Engineering
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).42 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
