Determination of Loss of Load Probability for Stand-Alone Photovoltaic Power System

Ogbonna Chima Otumdi; Constance Kalu; Idorenyin Markson

doi:doi:10.11648/j.ep.20170101.15

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Determination of Loss of Load Probability for Stand-Alone Photovoltaic Power System

Ogbonna Chima Otumdi, Constance Kalu, Idorenyin Markson

Published in Engineering Physics (Volume 1, Issue 1)

Received: 25 October 2016 Accepted: 3 January 2017 Published: 30 January 2017

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Abstract

In this paper, the loss of load probability for stand-alone photovoltaic (SAPV) power system was determined for an ICT Center with total daily energy demand of 346480 Wh/day. However, the different electrical appliances are classified into four (4) different load priority levels depending on the acceptable loss of load probability of the appliance in the data center. The ICT Center has annual averaged daily solar radiation of 4.7kWh/m². day and minimum (worst case) daily solar radiation of 0.574 kWh/m² day which occurred on 17^th of June. The SAPV system is expected to satisfy with zero loss of load probability the critical load (server, switches, routers, Vsat) estimated at about 81210 Wh/day. In this wise, dynamic load shading approach can be employed to switch off certain loads based on their priority level and available solar irradiation. A cubic regression model is derived to enable the load scheduler to determine the possible LLOP for any give load level. The approach presented in this paper provides the relevant mechanism to determine at what point the dynamic load shading unit can turn off or turn on appliances in any load priority level in response to the temporal variation in solar radiation at the Data Center.

Published in	Engineering Physics (Volume 1, Issue 1)
DOI	10.11648/j.ep.20170101.15
Page(s)	27-32
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Stand-Alone Photovoltaic, Loss of Load, Cubic Regression Model, Loss of Load Probability, Prioritized Load

References

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APA Style

Ogbonna Chima Otumdi, Constance Kalu, Idorenyin Markson. (2017). Determination of Loss of Load Probability for Stand-Alone Photovoltaic Power System. Engineering Physics, 1(1), 27-32. https://doi.org/10.11648/j.ep.20170101.15

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ACS Style

Ogbonna Chima Otumdi; Constance Kalu; Idorenyin Markson. Determination of Loss of Load Probability for Stand-Alone Photovoltaic Power System. Eng. Phys. 2017, 1(1), 27-32. doi: 10.11648/j.ep.20170101.15

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AMA Style

Ogbonna Chima Otumdi, Constance Kalu, Idorenyin Markson. Determination of Loss of Load Probability for Stand-Alone Photovoltaic Power System. Eng Phys. 2017;1(1):27-32. doi: 10.11648/j.ep.20170101.15

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@article{10.11648/j.ep.20170101.15,
  author = {Ogbonna Chima Otumdi and Constance Kalu and Idorenyin Markson},
  title = {Determination of Loss of Load Probability for Stand-Alone Photovoltaic Power System},
  journal = {Engineering Physics},
  volume = {1},
  number = {1},
  pages = {27-32},
  doi = {10.11648/j.ep.20170101.15},
  url = {https://doi.org/10.11648/j.ep.20170101.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ep.20170101.15},
  abstract = {In this paper, the loss of load probability for stand-alone photovoltaic (SAPV) power system was determined for an ICT Center with total daily energy demand of 346480 Wh/day. However, the different electrical appliances are classified into four (4) different load priority levels depending on the acceptable loss of load probability of the appliance in the data center. The ICT Center has annual averaged daily solar radiation of 4.7kWh/m2. day and minimum (worst case) daily solar radiation of 0.574 kWh/m2 day which occurred on 17th  of June. The SAPV system is expected to satisfy with zero loss of load probability the critical load (server, switches, routers, Vsat) estimated at about 81210 Wh/day. In this wise, dynamic load shading approach can be employed to switch off certain loads based on their priority level and available solar irradiation. A cubic regression model is derived to enable the load scheduler to determine the possible LLOP for any give load level. The approach presented in this paper provides the relevant mechanism to determine at what point the dynamic load shading unit can turn off or turn on appliances in any load priority level in response to the temporal variation in solar radiation at the Data Center.},
 year = {2017}
}

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TY  - JOUR
T1  - Determination of Loss of Load Probability for Stand-Alone Photovoltaic Power System
AU  - Ogbonna Chima Otumdi
AU  - Constance Kalu
AU  - Idorenyin Markson
Y1  - 2017/01/30
PY  - 2017
N1  - https://doi.org/10.11648/j.ep.20170101.15
DO  - 10.11648/j.ep.20170101.15
T2  - Engineering Physics
JF  - Engineering Physics
JO  - Engineering Physics
SP  - 27
EP  - 32
PB  - Science Publishing Group
SN  - 2640-1029
UR  - https://doi.org/10.11648/j.ep.20170101.15
AB  - In this paper, the loss of load probability for stand-alone photovoltaic (SAPV) power system was determined for an ICT Center with total daily energy demand of 346480 Wh/day. However, the different electrical appliances are classified into four (4) different load priority levels depending on the acceptable loss of load probability of the appliance in the data center. The ICT Center has annual averaged daily solar radiation of 4.7kWh/m2. day and minimum (worst case) daily solar radiation of 0.574 kWh/m2 day which occurred on 17th  of June. The SAPV system is expected to satisfy with zero loss of load probability the critical load (server, switches, routers, Vsat) estimated at about 81210 Wh/day. In this wise, dynamic load shading approach can be employed to switch off certain loads based on their priority level and available solar irradiation. A cubic regression model is derived to enable the load scheduler to determine the possible LLOP for any give load level. The approach presented in this paper provides the relevant mechanism to determine at what point the dynamic load shading unit can turn off or turn on appliances in any load priority level in response to the temporal variation in solar radiation at the Data Center.
VL  - 1
IS  - 1
ER  -

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Author Information

Ogbonna Chima Otumdi

Department of Electrical/Electronic and Computer Engineering, University of Uyo, Uyo, Nigeria
Constance Kalu

Department of Electrical/Electronic and Computer Engineering, University of Uyo, Uyo, Nigeria
Idorenyin Markson

Department of Mechanical Engineering, University of Uyo, Uyo, Nigeria

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Plain Text BibTeX RIS

APA Style

Ogbonna Chima Otumdi, Constance Kalu, Idorenyin Markson. (2017). Determination of Loss of Load Probability for Stand-Alone Photovoltaic Power System. Engineering Physics, 1(1), 27-32. https://doi.org/10.11648/j.ep.20170101.15

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ACS Style

Ogbonna Chima Otumdi; Constance Kalu; Idorenyin Markson. Determination of Loss of Load Probability for Stand-Alone Photovoltaic Power System. Eng. Phys. 2017, 1(1), 27-32. doi: 10.11648/j.ep.20170101.15

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AMA Style

Ogbonna Chima Otumdi, Constance Kalu, Idorenyin Markson. Determination of Loss of Load Probability for Stand-Alone Photovoltaic Power System. Eng Phys. 2017;1(1):27-32. doi: 10.11648/j.ep.20170101.15

Copy | Download

@article{10.11648/j.ep.20170101.15,
  author = {Ogbonna Chima Otumdi and Constance Kalu and Idorenyin Markson},
  title = {Determination of Loss of Load Probability for Stand-Alone Photovoltaic Power System},
  journal = {Engineering Physics},
  volume = {1},
  number = {1},
  pages = {27-32},
  doi = {10.11648/j.ep.20170101.15},
  url = {https://doi.org/10.11648/j.ep.20170101.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ep.20170101.15},
  abstract = {In this paper, the loss of load probability for stand-alone photovoltaic (SAPV) power system was determined for an ICT Center with total daily energy demand of 346480 Wh/day. However, the different electrical appliances are classified into four (4) different load priority levels depending on the acceptable loss of load probability of the appliance in the data center. The ICT Center has annual averaged daily solar radiation of 4.7kWh/m2. day and minimum (worst case) daily solar radiation of 0.574 kWh/m2 day which occurred on 17th  of June. The SAPV system is expected to satisfy with zero loss of load probability the critical load (server, switches, routers, Vsat) estimated at about 81210 Wh/day. In this wise, dynamic load shading approach can be employed to switch off certain loads based on their priority level and available solar irradiation. A cubic regression model is derived to enable the load scheduler to determine the possible LLOP for any give load level. The approach presented in this paper provides the relevant mechanism to determine at what point the dynamic load shading unit can turn off or turn on appliances in any load priority level in response to the temporal variation in solar radiation at the Data Center.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Determination of Loss of Load Probability for Stand-Alone Photovoltaic Power System
AU  - Ogbonna Chima Otumdi
AU  - Constance Kalu
AU  - Idorenyin Markson
Y1  - 2017/01/30
PY  - 2017
N1  - https://doi.org/10.11648/j.ep.20170101.15
DO  - 10.11648/j.ep.20170101.15
T2  - Engineering Physics
JF  - Engineering Physics
JO  - Engineering Physics
SP  - 27
EP  - 32
PB  - Science Publishing Group
SN  - 2640-1029
UR  - https://doi.org/10.11648/j.ep.20170101.15
AB  - In this paper, the loss of load probability for stand-alone photovoltaic (SAPV) power system was determined for an ICT Center with total daily energy demand of 346480 Wh/day. However, the different electrical appliances are classified into four (4) different load priority levels depending on the acceptable loss of load probability of the appliance in the data center. The ICT Center has annual averaged daily solar radiation of 4.7kWh/m2. day and minimum (worst case) daily solar radiation of 0.574 kWh/m2 day which occurred on 17th  of June. The SAPV system is expected to satisfy with zero loss of load probability the critical load (server, switches, routers, Vsat) estimated at about 81210 Wh/day. In this wise, dynamic load shading approach can be employed to switch off certain loads based on their priority level and available solar irradiation. A cubic regression model is derived to enable the load scheduler to determine the possible LLOP for any give load level. The approach presented in this paper provides the relevant mechanism to determine at what point the dynamic load shading unit can turn off or turn on appliances in any load priority level in response to the temporal variation in solar radiation at the Data Center.
VL  - 1
IS  - 1
ER  -

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