Energy Management Optimization and Voltage Evaluation for Residential and Commercial Areas

Hayder O. Alwan, Hamidreza Sadeghian and Sherif Abdelwahed
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Hayder O. Alwan: Department of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond, VA 23220, USA
Hamidreza Sadeghian: Department of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond, VA 23220, USA
Sherif Abdelwahed: Department of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond, VA 23220, USA

Energies, 2019, vol. 12, issue 9, 1-21

Abstract: 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.

Keywords: smart building; demand-side management; intelligent load management; utilization efficiency; load schedule (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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