Abstract: |
Background: The increasing penetration of a massive number of plug-in electric vehicles (PEVs) and distributed
generators (DGs) into current power distribution networks imposes obvious challenges on power distribution
network operation.
Methods: This paper presents an optimal temporal-spatial scheduling strategy of PEV charging demand in the
presence of DGs. The solution is designed to ensure the reliable and secure operation of the active power
distribution networks, the randomness introduced by PEVs and DGs can be managed through the appropriate
scheduling of the PEV charging demand, as the PEVs can be considered as mobile energy storage units.
Results: As a result, the charging demands of PEVs are optimally scheduled temporally and spatially, which can
improve the DG utilization efficiency as well as reduce the charging cost under real-time pricing (RTP).
Conclusions: The proposed scheduling strategy is evaluated through a series of simulations and the numerical
results demonstrate the effectiveness and the benefits of the proposed solution. |
Key words: Plug-in electric vehicles (PEVs), Energy storage, Distribution generators (DGs), Charging demand,Charging scheduling strategy, Active power distribution networks, Real-time pricing (RTP) |
DOI:10.1186/s41601-017-0065-x |
|
Fund: |
|