Abstract
Rapid development of plug-in hybrid electric vehicles brings new challenges to the security and economy of power systems. As a clean and environmental friendly technology, the electric vehicle presents the future solution of transportation with high potentials. Currently rapid deployment of electric vehicles is taking place in many countries. However, uncoordinated charging of many plug-in hybrid electric vehicles (PHEVs) may cause serious impacts on the security and economy of power system operation. The paper proposes a new dispatch model to reduce the fluctuations of PHEV charging loads, based on the probabilistic analysis of charging behaviors of PHEVs and other demands in power systems. Genetic algorithm method is adopted to solve this optimization problem. The feasibility and efficiency of the developed stochastic dispatch model is demonstrated with a 33-bus distribution network.
| Original language | English |
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| Title of host publication | 2013 IEEE Power and Energy Society General Meeting, PES 2013 |
| DOIs | |
| Publication status | Published - 1 Dec 2013 |
| Event | 2013 IEEE Power and Energy Society General Meeting, PES 2013 - Vancouver, BC, Canada Duration: 21 Jul 2013 → 25 Jul 2013 |
Conference
| Conference | 2013 IEEE Power and Energy Society General Meeting, PES 2013 |
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| Country/Territory | Canada |
| City | Vancouver, BC |
| Period | 21/07/13 → 25/07/13 |
Keywords
- distribution network
- genetic algorithm
- optimal dispatch
- plug-in hybrid electric vehicles
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Nuclear Energy and Engineering
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
