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Optimization of
Residential Load Consumption during Energy Peaks using Smart Metering
Rovan Refaat El-Razky, Ahmed
Ali Daoud, Kamel El-serafi
2017/04/25
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Abstrac
Recently smart demand side management (DSM)
is a very important tool that permits customers to take right decisions
for their energy consumption and helps the energy utilities to decrease
the over load demand and reshape the load curve.
This paper proposes an optimized DSM technique based on smart metering
uses different techniques such as load shifting and peak clipping to minimize
domestic power consumption especially during load peaks. A new optimization
technique (Bat Algorithm) is applied on proposed system and then compares
results with other optimization techniques (Genetic Algorithm and Interior
point Algorithm) to optimize the minimum consumption during peak hours
according to load type. A control algorithm is applied to the proposed
system to achieve the load shifting and load clipping according to the
optimization results.
| Published in: Renewable Energy
& Power Quality Journal (RE&PQJ, Nº. 15) |
| Pages: 227-232 |
Date of Publication: 2017/04/25 |
| ISSN: 2172-038X |
Date of Current Version: |
| REF: 279-17 |
Issue Date: April 2017 |
| DOI:10.24084/repqj15.279 |
Publisher: EA4EPQ |
Authors and affiliations
Rovan Refaat El-Razky, Ahmed Ali Daoud, Kamel El-serafi
Department of Electrical Engineering, Faculty of Engineering, Port Said
University, Egypt
Key word
Demand Side Management, Smart metering, Genetic Algorithm,
Bat Algorithm.
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