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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Computational Framework for Optimal Carbon Taxes Based on Electric Supply Chain Considering Transmission Constraints and Losses
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Computational Framework for Optimal Carbon Taxes Based on Electric Supply Chain Considering Transmission Constraints and Losses

机译:考虑输电约束和损耗的基于电力供应链的最优碳税计算框架

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A modeling and computational framework is presented for the determination of optimal carbon taxes that apply to electric power plants in the context of electric power supply chain with consideration of transmission constraints and losses. In order to achieve this goal, a generalized electric power supply chain network equilibrium model is used. Under deregulation, there are several players in electrical market: generation companies, power suppliers, transmission service providers, and consumers. Each player in this model tries to maximize its own profit and competes with others in a noncooperative manner. The Nash equilibrium conditions of these players in this model form a finite-dimensional variational inequality problem (VIP). By solving this VIP via an extragradient method based on an interior point algorithm, the optimal carbon taxes of power plants can be determined. Numerical examples are provided to analyze the results of the presented modeling.
机译:提出了一种建模和计算框架,用于确定考虑到输电约束和损耗的,在电力供应链范围内适用于电厂的最佳碳税。为了实现这个目标,使用了广义的电力供应链网络平衡模型。在放松管制之下,电气市场上有多个参与者:发电公司,电力供应商,传输服务提供商和消费者。该模型中的每个参与者都试图最大化自身的利润,并以非合作方式与他人竞争。这些参与者在模型中的纳什均衡条件形成了一个有限维的变分不等式问题(VIP)。通过基于内部点算法的超梯度方法求解该VIP,可以确定电厂的最佳碳税。提供了数值示例来分析所提出模型的结果。

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