TY  - JOUR
TI  - Risk-averse optimal bidding strategy for a wind energy portfolio manager
including EV parking lots for imbalance mitigation
AB  - n this study, an optimal bidding strategy for a wind energy portfolio manager (WEPM) including electric
vehicle parking lots (EVPLs) that aims to maximize profits by trading in the day-ahead (DA) market and balancing
market (BM) and through bilateral contracts, taking into account line capacities and risk management is proposed. The
mentioned structure is modeled in mixed integer linear programming (MILP) framework, and the uncertainties regarding
electric vehicle (EV) behavior, electricity market data, wind power generation are captured via a stochastic approach. To
demonstrate the effectiveness of the model, several case studies are carried out considering Sweden and Turkey electricity
market prices with different risk aversion factors and bilateral contract situations. In this manner, the important results
as well as useful findings regarding the economic impacts of the proposed concept are analyzed in detail.
AU  - Erdinc, Ozan
AU  - ÇİÇEK, ALPER
DO  - 10.3906/elk-2102-51
PY  - 2021
JO  - Turkish Journal of Electrical Engineering and Computer Sciences
VL  - 29
IS  - 2
SN  - 1300-0632
SP  - 481
EP  - 498
DB  - TRDizin
UR  - http://search/yayin/detay/514861
ER  -