Energy Management Optimization and Voltage Evaluation for Residential and Commercial Areas
Department of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond, VA 23220, USA
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Energies 2019, 12(9), 1811; https://doi.org/10.3390/en12091811
Received: 3 April 2019 / Revised: 5 May 2019 / Accepted: 8 May 2019 / Published: 13 May 2019
(This article belongs to the Special Issue Electric Power Systems Research 2019)
In most smart grids, load management techniques are required to handle multiple loads of several types. This paper studies decentralized demand-side management (DSM) in a grid with different types of appliances in two service areas: one with many residential households, and one bus with commercial customers. Each building runs an individual optimal DSM to reschedule the usage time of its flexible appliances to reduce its electric energy cost at a manageable sacrifice of inconvenience according to the forecasted time-varying electricity price. Using the developed model, we examined the effectiveness of decentralized DSM by comparing its performance on the operation status of the grid in terms of electricity cost saving, rooftop photovoltaic (PV) utilization efficiency, voltage fluctuation, power loss, voltage rises, and reverse power flows, which can easily be seen at the commercial load bus.
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Keywords:
smart building; demand-side management; intelligent load management; utilization efficiency; load schedule
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MDPI and ACS Style
Alwan, H.O.; Sadeghian, H.; Abdelwahed, S. Energy Management Optimization and Voltage Evaluation for Residential and Commercial Areas. Energies 2019, 12, 1811.
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