A Study of Electric Vehicle Charging Station Planning Considering Distribution System Operations
碩士 === 國立中山大學 === 電機工程學系研究所 === 102 === Electric Vehicle will be a critical part of automobile market. Since the EV penetration rate is rising, there should be enough charging infrastructure to fulfill the EV charging demands. Charging load at home or at the charging station will both cause negative...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2013
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/73274152873894827439 |
| Summary: | 碩士 === 國立中山大學 === 電機工程學系研究所 === 102 === Electric Vehicle will be a critical part of automobile market. Since the EV penetration rate is rising, there should be enough charging infrastructure to fulfill the EV charging demands. Charging load at home or at the charging station will both cause negative impacts to the existing distribution system operations. Therefore EV charging station planning must consider the users’ demand and operation constraints of power system. This thesis uses a non-homogeneous Markov Chains model to simulate random EV driving pattern and charging behavior. Then try to define the location of charging station where can maximize the service coverage rate to all the charging demands by applying a genetic algorithm. After the suitable locations are decided, the next step is to find an optimal number of charging poles at each charging station to provide adequate service level by a nonstationary Poisson process model based on M/M/c queueing theory. Study results show that with proper planning of the charging station, the EV charging impacts can be mitigated without sacrificing satisfaction of charging demands under different charging station layout
|
|---|