论文标题
在考虑外部成本的勾结和竞争市场中发电厂的行为
Behavior of power plants in collusion and competitive markets considering external costs
论文作者
论文摘要
在本文中，提出了一种数学模型，以优化勾结和竞争市场中的发电厂（PPS）的生产水平以及外部成本的存在。为了评估该模型，提出了两种元映射术，例如遗传算法（GA）和粒子群优化（PSO）。研究了一个数值示例，以评估在存在外部成本的情况下PP的行为。根据计算结果，外部成本的增加将降低勾结和竞争市场中所有PP的生产水平和利润。但是计算结果表明，与设备差的PP相比，外部成本增量对具有高质量设备的PP的影响较少。此外，外部成本的增加将迫使PPS使用更绿色的燃料资源而不是化石燃料。
In this paper, a mathematical model is proposed to optimize the production level of Power Plants (PPs) in collusion and competitive markets and in the presence of external costs. To evaluate the model, two meta-heuristics, such as Genetic Algorithm (GA), and Particle Swarm Optimization (PSO), are proposed. A numerical example is studied to assess the behavior of PPs in the presence of external costs. According to the computational results, the increment in the external costs will decrease the production level and profit of all PPs in both collusion and competitive markets. But the computational results show that the effect of increment in the external costs on the PPs with high-quality equipment is less compared to the PPs with poor equipment. Moreover, the increment in the external costs will force PPs to use greener fuel resources instead of fossil fuel.
