Virtual storage capacity using demand response management to overcome intermittency of solar PV generation
The integration of solar photovoltaic (PV) systems into the distribution network creates various stability and reliability issues associated with the intermittency of solar PV power generation. Energy storage is a vital component required for overcoming the intermittency of solar PV. This study pres...
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sg-ntu-dr.10356-860912020-03-07T13:57:22Z Virtual storage capacity using demand response management to overcome intermittency of solar PV generation Kandasamy, Nandha Kumar Tseng, King Jet Soong, Boon Hee School of Electrical and Electronic Engineering Demand Side Management Buildings (Structures) The integration of solar photovoltaic (PV) systems into the distribution network creates various stability and reliability issues associated with the intermittency of solar PV power generation. Energy storage is a vital component required for overcoming the intermittency of solar PV. This study presents a priority-based demand response management (DRM) for loads with large time constants to create virtual energy storage. The virtual energy storage thus created can be used for partial levelling of intermittent output from solar PVs. The proposed DRM algorithm involves controlling loads with large time constants such as air conditioning systems and refrigerators based on the forecasted solar PV generation. The proposed method is evaluated using data-driven simulations, weather data and mathematical models. The proposed algorithm is highly suitable for megacities that have high number of multi-storey residential buildings. Utilising the virtual storage capacity available from the appliances will reduce the investment as well as the operation cost of renewable energy such as solar PV. Analyses on impact on temperature, percentage of interruptions, cost savings and impact on energy storage sizing are also presented for evaluating the performance of the proposed algorithm. NRF (Natl Research Foundation, S’pore) Published version 2018-07-26T07:25:34Z 2019-12-06T16:15:51Z 2018-07-26T07:25:34Z 2019-12-06T16:15:51Z 2017 Journal Article Kandasamy, N. K., Tseng, K. J., & Soong, B. H. (2017). Virtual storage capacity using demand response management to overcome intermittency of solar PV generation. IET Renewable Power Generation, 11(14), 1741-1748. 1752-1416 https://hdl.handle.net/10356/86091 http://hdl.handle.net/10220/45257 10.1049/iet-rpg.2017.0036 en IET Renewable Power Generation © 2017 The Institution of Engineering and Technology (IET). This paper was published in IET Renewable Power Generation and is made available as an electronic reprint (preprint) with permission of The Institution of Engineering and Technology (IET). The published version is available at: [http://dx.doi.org/10.1049/iet-rpg.2017.0036]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. 8 p. application/pdf |
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Demand Side Management Buildings (Structures) Kandasamy, Nandha Kumar Tseng, King Jet Soong, Boon Hee Virtual storage capacity using demand response management to overcome intermittency of solar PV generation |
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The integration of solar photovoltaic (PV) systems into the distribution network creates various stability and reliability issues associated with the intermittency of solar PV power generation. Energy storage is a vital component required for overcoming the intermittency of solar PV. This study presents a priority-based demand response management (DRM) for loads with large time constants to create virtual energy storage. The virtual energy storage thus created can be used for partial levelling of intermittent output from solar PVs. The proposed DRM algorithm involves controlling loads with large time constants such as air conditioning systems and refrigerators based on the forecasted solar PV generation. The proposed method is evaluated using data-driven simulations, weather data and mathematical models. The proposed algorithm is highly suitable for megacities that have high number of multi-storey residential buildings. Utilising the virtual storage capacity available from the appliances will reduce the investment as well as the operation cost of renewable energy such as solar PV. Analyses on impact on temperature, percentage of interruptions, cost savings and impact on energy storage sizing are also presented for evaluating the performance of the proposed algorithm. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Kandasamy, Nandha Kumar Tseng, King Jet Soong, Boon Hee |
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Article |
author |
Kandasamy, Nandha Kumar Tseng, King Jet Soong, Boon Hee |
author_sort |
Kandasamy, Nandha Kumar |
title |
Virtual storage capacity using demand response management to overcome intermittency of solar PV generation |
title_short |
Virtual storage capacity using demand response management to overcome intermittency of solar PV generation |
title_full |
Virtual storage capacity using demand response management to overcome intermittency of solar PV generation |
title_fullStr |
Virtual storage capacity using demand response management to overcome intermittency of solar PV generation |
title_full_unstemmed |
Virtual storage capacity using demand response management to overcome intermittency of solar PV generation |
title_sort |
virtual storage capacity using demand response management to overcome intermittency of solar pv generation |
publishDate |
2018 |
url |
https://hdl.handle.net/10356/86091 http://hdl.handle.net/10220/45257 |
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1681043015654703104 |