| |
 |
Design of an Appliance Switch Responding to
Solar Energy
Ambalika Pradip Koshti, Dr. Arthur Williams
2017/04/25
|

Abstract
Knowing the ill effects of dependence upon
conventional resources for generation of energy, the
world is already making an effort to harness energy from renewable energy
sources. However, the use of conventional resources is not fully eliminated
from daily lives of people as the renewable energy sources are limited
due to their intermittent nature.
The paper presents a unique technique of Demand Side Management (DSM)
for a domestic consumer whose house is equipped with on-grid solar PV
panel system. DSM is the management of energy needs according to its availability.
The paper deals with designing of an automated switch which is an adapter
and can be inserted into standard 13amp socket. The adapter is equipped
with a sensor that transmits data to it. The smart solar switch can detect
surplus power generated by the PV system and it controls non-priority
loads in the house depending upon the amount of surplus power. The designed
switch provides an automatic, fast, easy to install and safe option for
customers who want to increase their use of solar energy. Its performance
was tested in a lab setup as well as in real time scenario in a home.
| Published in: Renewable Energy
& Power Quality Journal (RE&PQJ, Nº. 15) |
| Pages: 784-790 |
Date of Publication: 2017/04/25 |
| ISSN: 2172-038X |
Date of Current Version: |
|
REF: 466-17
|
Issue Date: April 2017 |
| DOI:10.24084/repqj15.466 |
Publisher: EA4EPQ |
Authors and affiliations
Ambalika Pradip Koshti, Dr. Arthur Williams
Department of Electronics and Electrical Engineering, University of Nottingham,
UK.
Key word
Demand Side Management (DSM), Home automation system,
Export power, Wireless communication, PV panels
References
[1] Electricity Production in the World: General Forecast,
2013- Chapter 1 available at
www.energiesrenouvelables.org/observer/html/inventaire/pdf/15e-inventaire-Chap01Eng.pdf
[2] Daniele Miorandi and Francesco De Pellegrini, "Demandside management
in smart grids: An evolutionary games
perspective,"in Performance Evaluation Methodologies and Tools (VALUETOOLS),
6th Int. Conf., Cargese, Oct. 2012,pp 178-187.
[3] Thilliainathan Logenthiran, Dipti Srinivasan, Tan Zong Shun, "DSM
in Smart Grid Using Heuristic Optimization", in IEEE Transactions
on Smart Grids,2012, Vol. 3, pp.1244-1252.
[4] https://www.immersun.co.uk/product/
accessed 12 Jan 2017
[5] https://store.stormfront.co.uk/belkin-wemo-switch
accessed 12 Jan 2017
[6] https://store.stormfront.co.uk/belkin-wemo-switchpvgeneratormonitor-control-system-hot/
- accessed 12 Jan 2017
[7] http://efergy.com/ accessed 12 Jan
2017
[8] Ana K. Cabrera, Hasan Ul Banna, Cosmin Koch-Ciobotarus, Siddharta
Ghosh, "Optimization of an air conditioning unit according to renewable
energy availability and user's comfort", in IEEE PES Innovative Smart
Grid Technologies, Europe, Conf.at Istanbul, Oct. 2014, pp 1-7.
[9] A. Rifat Boynuegri, Bunyamin Yagcitekin, Mustafa Baysal, Arif Karakas,
Mehmet Uzunoglu, "Energy management algorithm for smart home with
renewable energy sources," in Power Engineering, Energy and Electrical
Drives (POWERENG),4th Int. Conf., Istanbul, May 2013, pp 1753-1758.
[10] Christopher O. Adika and Lingfeng Wang, "Autonomous Scheduling
for Household Energy Management," in IEEE
Transt. On Smart Grid, vol. 5, Aug. 2013,pp 673-682.
[11] A. Tascikaraoglu, A.R. Boynuegri, M. Uzunoglu, "A Demand Side
Management Strategy Based on Forecasting
of Residential Renewable Sources: A Smart House System In Turkey,"
Energy and Buildings, vol.80, Elsevier, Sept
2014, pp 309-320.
[12] Educational Article available at http://reuk.co.uk/Directory/index.htm
[13] Sanjaya Kumar Nayak, N.C.Sahoo, G. Panda, "Demand side management
of residential loads in a smart grid using
2D particle swarm optimization technique", in IEEE Power, Communication
and Information Technology Conference (PCITC),Conf. at Bhubaneshwar, Oct.
2015, pp 201-206.
[14] Edgar Galván-López, Tom Curran, James McDermott, Paula
Carroll, "Design of an autonomous intelligent
Demand-Side Management system using stochastic optimisation evolutionary
algorithms", Neurocomputing,
Vol. 170, Dec. 2015, pp 270-285.

|
|