摘要
随着电动汽车的广泛投入使用,电动汽车代理商通过代理系统中数量庞大而分散的电动汽车参与电力市场竞价,不但有利于电动汽车的有序充放电,同时也给电动汽车提供了参与电力市场竞价的机会。基于电动汽车代理商的灵活报价,提出参与电力市场竞价的双层优化模型,上层以社会效益最大化为目标,下层以电动汽车充放电效益最大化为目标;通过KKT条件将双层优化模型转化为单层优化模型,采用非线性互补函数将非线性不等式约束转化为等式约束,并通过原对偶内点算法求解模型;最后,通过算例仿真分析,验证了所提模型的有效性和可行性。
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.
出处
《电力科学与技术学报》
CAS
北大核心
2015年第2期104-110,共7页
Journal of Electric Power Science And Technology
基金
国家自然科学基金(71331001)
关键词
电动汽车
电力市场
双层优化
KKT条件
electric vehicles
electric market
bi-level optimization
KKT conditions
