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Resilient Energy Management for Residential Communities under Grid Outages
The ever-increasing power demand and more frequent extreme weather results in increasing number of grid outage events. This paper proposes a resilient energy management scheme for a building community prototype installed with community-scale photovoltaic solar panel and Battery Energy Storage System (BESS), aiming to enhance self-power supply capability of the community during the grid outage period. The scheme harnesses the community-scale renewable energy source and Battery Energy Storage System (BESS), and flexibility of building load shifting to maximize a warfare objective, i.e. the sum of served load of all buildings in the community over the grid outage horizon. An optimization algorithm previously proposed by the authors – Natural Aggregation Algorithm (NAA) is applied to solve the energy management model. Simulations are conducted based on the Australian "Smart Grid, Smart City" dataset to validate the effectiveness of the proposed method.
- Nanyang Technological University Singapore
- University of Sydney Australia
- UNSW Sydney Australia
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).4 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).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
