Research on bidding strategy of electricity market for electric vehicle aggregators

With the widespread using of electric vehicles,Electric Vehicle Aggregators(EVAs)participate in the electricity market bidding through managing geographically distributed EVAs.It can guide the charging and discharging of the electric vehicles in order and offer the opportunity of participating in the competitive electricity market.Based on the flexible bidding of EVAs,a Bilevel optimization model for participating in the electricity market was proposed in this paper.The Upper-lever model was to maximize the social benefit,the lower-lever model was to maximize the charging and discharging efficiency of electric vehicles.The mixed-integer Bi-level programming formulation was transformed into an equivalent single-level mixed-integer program by the Karush-Kuhn-Tucker optimal conditions.Using the nonlinear complementary function,the multi-layer optimization model was transformed into a set of semi-smooth nonlinear algebraicequations,and the model was solved through the primal-dual interior point algorithm.Finally,the feasibility and effectiveness of the proposed model was verified by numerical simulation analysis.