Abstract
Photovoltaic generation (PV) output power varies depending on the time, weather, and season. Especially, PV output power can be low in the night or under bad weather conditions. In these cases, an electric vehicle (EV) battery can serve as a substitute for the storage system, and enables to attain in-house generation power continuously regardless of these bad conditions. In this study, we constructed EV charge-discharge algorithm in an original way, which is applied to the house with residential PV, and we tried to improve the rate of local consumption of PV output, cut the power purchase cost from electrical power systems, and reduce CO2 emissions. Also, this EV charge-discharge algorithm was applied to the community which consists of ten houses, and appraised from the view of the rate of local consumption of PV output, power purchase cost, and CO2 reductions. As the result, we confirmed the improvement of local consumption rate of PV output, power purchase cost and CO2 emissions, by application of our algorithm. In addition, we estimated the advantage effect of the power interchange among houses in the community.
Original language | English |
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Title of host publication | 2012 IEEE Innovative Smart Grid Technologies - Asia, ISGT Asia 2012 |
DOIs | |
Publication status | Published - 2012 |
Event | 2012 IEEE Innovative Smart Grid Technologies - Asia, ISGT Asia - Tianjin Duration: 2012 May 21 → 2012 May 24 |
Other
Other | 2012 IEEE Innovative Smart Grid Technologies - Asia, ISGT Asia |
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City | Tianjin |
Period | 12/5/21 → 12/5/24 |
Keywords
- Electric vehicles
- Energy management
- Energy storage Batteries
- Photovoltaic generation
- Power system simulation
- Smart grids
ASJC Scopus subject areas
- Computer Networks and Communications