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A game theoretic framework for DG optimal contract pricing

机译:DG最优合同定价的博弈论框架

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This paper presents a new approach based on multi leader follower game in order to find the optimal contract price of distributed generation in distribution network considering competition among them. The leader problems correspond to the independent DG units who decide to maximize the individual profits, while the follower problem refers to the distribution company (DisCo) which seeks the minimization of the payments incurred in attending the expected demand while satisfying network constraints. Disco can purchase energy either from the transmission network through the substations or from the DG units within its network. The DisCo minimization problem acts as a constraint into the each DG maximization problem. Substituting the Karush-Kuhn-Tachker (KKT) optimally conditions of the DisCo for its optimization problem, each DG owner problem becomes a Mathematical Program with Equilibrium Constraints (MPEC). Using diagonalization technique, all MPEC is solved by standard NLP solvers and the optimal contract prices are found. This model is implemented on the 6 bus and the modified IEEE 34 bus distribution network to accentuate the advantage of the proposed model.
机译:本文提出了一种基于多领导者跟随者博弈的新方法,以便在考虑分销商之间竞争的情况下找到分布式发电的最优合同价格。领导者问题对应于决定使个人利润最大化的独立DG部门,而跟随者问题则涉及经销公司(DisCo),该公司寻求在满足网络约束的同时将满足预期需求所产生的付款最小化。迪斯科可以通过变电站从传输网络购买能源,也可以从其网络内的DG单位购买能源。 DisCo最小化问题是每个DG最大化问题的约束。代替KaCoup-Kuhn-Tachker(KKT)的DisCo最优条件来解决其优化问题,每个DG所有者问题都将成为具有均衡约束的数学程序(MPEC)。使用对角化技术,所有MPEC均由标准NLP求解器求解,并找到最佳合同价格。该模型在6总线和改进的IEEE 34总线分配网络上实现,以强调所提出模型的优势。

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