Journal article
Probabilistic Constrained Load Flow Considering Integration of Wind Power Generation and Electric Vehicles
A new formulation and solution of probabilistic constrained load flow (PCLF) problem suitable for modern power systems with wind power generation and electric vehicles (EV) demand or supply is represented. The developed stochastic model of EV demand/supply and the wind power generation model are incorporated into load flow studies.
In the resulted PCLF formulation, discrete and continuous control parameters are engaged. Therefore, a hybrid learning automata system (HLAS) is developed to find the optimal offline control settings over a whole planning period of power system. The process of HLAS is applied to a new introduced 14-busbar test system which comprises two wind turbine (WT) generators, one small power plant, and two EV-plug-in stations connected at two PQ buses.
The results demonstrate the excellent performance of the HLAS for PCLF problem. New formulae to facilitate the optimal integration of WT generation in correlation with EV demand/supply into the electricity grids are also introduced, resulting in the first benchmark. Novel conclusions for EV portfolio management are drawn.
Language: | English |
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Publisher: | IEEE |
Year: | 2009 |
Pages: | 1808-1817 |
ISSN: | 15580679 and 08858950 |
Types: | Journal article |
DOI: | 10.1109/TPWRS.2009.2030420 |
Constrained load flow correlation model electric vehicles integration planning period stochastic learning automata wind power penetration
14-busbar test system Automatic control EV-plug-in stations Electric vehicles Hybrid electric vehicles Hybrid power systems Load flow Power generation Power system modeling Power system planning Wind energy generation Wind power generation electric vehicles hybrid learning automata system load flow modern power systems optimal offline control settings probabilistic constrained load flow probability stochastic model stochastic processes turbogenerators wind power generation wind power plants wind turbine generators wind turbines