Implementation of Smart Charging and Network Reconfiguration for Operating Cost Reduction in Power Distribution Systems
碩士 === 國立中山大學 === 電機電力工程國際碩士學程 === 104 === A procedure for implementing smart charging and network reconfiguration is formulated in this thesis. This technique aims to mitigate the negative impact in the operating cost that may occur due to the presence of large number of electric vehicles connected...
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| Format: | Others |
| Language: | en_US |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/49975659915543314773 |
| Summary: | 碩士 === 國立中山大學 === 電機電力工程國際碩士學程 === 104 === A procedure for implementing smart charging and network reconfiguration is formulated in this thesis. This technique aims to mitigate the negative impact in the operating cost that may occur due to the presence of large number of electric vehicles connected into power distribution systems.
Price-based demand response is implemented for smart charging, where the electric vehicles are charged based on their availability and the energy price. A day-ahead market is considered, from where the forecasted energy price and initial load profile is collected. Linear programming optimization model is used to determine the hourly charging level of each electric vehicle with the goal of minimizing the charging costs.
After the smart charging is carried out, the total scheduled charging load is added to the forecasted initial load profile of the distribution system. Network reconfiguration considering the switching cost is then performed to reduce the operating cost of the distribution system resulting from power losses and the switching operation. Genetic algorithm technique is adopted to determine the hourly configuration of the system.
The proposed procedure is tested in a modified IEEE system under smart grid framework. Simulations results are provided to validate the effectiveness of the proposed method.
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