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A Comparative Assessment of Embedded Energy Storage and Electric Vehicle Integration in a Community Virtual Power Plant
Okpako, O Rajamani, HS Pillai, P Anuebunwa, U Shanti Swarup, K
Okpako, O
Rajamani, HS
Pillai, P
Anuebunwa, U
Shanti Swarup, K
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2018-03-08
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Abstract
© 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Among the key objectives of the smart grid technology are to foster the grid integration of renewable energy as well as market participation of domestic energy consumers through demand response program. Energy storage remains a key component of the smart grid. Past works on integration of energy storage at the domestic side of the electricity grid has identified the electric vehicle technology (EV) and the embedded energy storage (EES) technology, etc. However, it was difficult to compare between these technologies in terms of business incentives and technical performance. This was investigated in this work, and the results are presented. It was propose to use percentage difference to compare between VPP with EES and VPP with EV. The results shows that the difference in prosumers incentives between VPP with EES and VPP with EV is very low. It is approximately 0.89%. However, the percentage difference in VPP operator profit between VPP with EES and VPP with EV is very high. It is approximately 85.3%. The VPP makes very high profit in the VPP EES case compared to VPP EV case. The same also applies to the VPP cumulative performance where the percentage difference in the VPP cumulative performance between VPP with EES and VPP with EV is approximately 10.9%. This has implication on the storage mechanism to be integrated in to a VPP at the domestic level as well the business model to be adopted.
Citation
Okpako, O., Rajamani, H., Pillai, P., Anuebunwa, U. & Shanti Swarup, K. (2018) A Comparative Assessment of Embedded Energy Storage and Electric Vehicle Integration in a Community Virtual Power Plant, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 231, pp. 127-141.
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en
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1867-822X
ISBN
9783319765709