Decarbonization of power systems plays a crucial role in achieving carbon neutral goals across the globe, but there exists a sharp contradiction between the emission reduction and levelized generation cost. Therefore, it is of great importance for power system operators to take economic as well as low-carbon factors into account. This paper establishes a low-carbon economic dispatch model of bulk power systems based on Nash bargaining game, which derives a Nash bargaining solution making a reasonable trade-off between economic and low-carbon objectives. Because the Nash bargaining solution satisfies Pareto effectiveness, we analyze the computational complexity of Pareto frontiers with parametric linear programming and interpret the inefficiency of the method. Instead, we assign a group of dynamic weights in the objective function of the proposed low-carbon economic dispatch model so as to improve the computational efficiency by decoupling time periods and avoiding the complete computation of Pareto frontiers. In the end, we validate the proposed model and the algorithm by a realistic nationwide simulation in mainland China.
翻译:在全球实现碳中性目标方面,电力系统的去碳化发挥着关键作用,但减排与平化发电成本之间存在鲜明的矛盾。因此,电力系统操作者必须考虑到经济和低碳因素。本文根据纳什谈判游戏建立了散装电力系统的低碳经济发送模式,这一模式产生了纳什谈判解决方案,使经济和低碳目标之间的合理平衡得到合理的平衡。由于纳什谈判解决方案满足了帕雷托的有效性,我们用对称线性编程分析帕雷托边界的计算复杂性,并解释该方法的不效率。相反,我们在拟议的低碳经济发送模式的客观功能中指定一组动态权重,以便通过脱钩时间段和避免完全计算帕雷托边界来提高计算效率。最后,我们通过在中国大陆进行现实的全国性模拟来验证拟议模式和算法。