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A preventive control strategy for static voltage stability based on an efficient power plant model of electric vehicles
- Source :
- Journal of Modern Power Systems and Clean Energy, Vol 3, Iss 1, Pp 103-113 (2015)
- Publication Year :
- 2015
- Publisher :
- IEEE, 2015.
-
Abstract
- With the increasing integration of wind farms and electric vehicles (EVs) in power systems, voltage stability is becoming more and more serious. Based on vehicle-to-grid (V2G), an efficient power plant model of EVs (E-EPP) was developed to estimate EV charging load with available corresponding response capacity under different charging strategies. A preventive control strategy based on E-EPP was proposed to maintain the static voltage stability margin (VSM) of power system above a predefined security level. Two control modes were used including the disconnection of EV charging load (‘V1G’ mode) and the discharge of stored battery energy back to power grid (‘V2G’ mode). A modified IEEE 14-bus system with high penetration of wind power and EVs was used to verify the effectiveness of preventive control strategy. Simulation results showed that the proposed strategy can not only improve the static voltage stability of power system with considerable wind generation, but also guarantee the travelling comfort for EV owners.
- Subjects :
- Engineering
TK1001-1841
Power station
Vehicle-to-grid (V2G)
020209 energy
Preventive control
Energy Engineering and Power Technology
Static voltage stability
TJ807-830
02 engineering and technology
7. Clean energy
Automotive engineering
Renewable energy sources
Electric power system
Production of electric energy or power. Powerplants. Central stations
0202 electrical engineering, electronic engineering, information engineering
Power grid
Wind power
Renewable Energy, Sustainability and the Environment
business.industry
020208 electrical & electronic engineering
Electrical engineering
Voltage stability
Efficient power plant (EPP)
Voltage regulation
Electric vehicle (EV)
business
Power control
Subjects
Details
- Language :
- English
- ISSN :
- 21965420
- Volume :
- 3
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Journal of Modern Power Systems and Clean Energy
- Accession number :
- edsair.doi.dedup.....74cf24353dd225f810bd4d6f479a04e2