Despite the increasing level of renewable power generation in power grids, fossil fuel power plants still have a significant role in producing carbon emissions. The integration of carbon capturing and storing systems to the conventional power plants can significantly reduce the spread of carbon emissions. In this article, the economic-emission dispatch of combined renewable and coal power plants equipped with carbon capture systems is addressed in a multiobjective optimization framework. The power system's flexibility is enhanced by hydropower plants, pumped hydro storage, and demand response program. The wind generation and load consumption uncertainties are modeled using stochastic programming. The dc power flow model is implemented on a modified IEEE 24-bus test system. Solving the problem resulted in an optimal Pareto frontier, while the fuzzy decision-making method found the best solution. The sensitivity of the objective functions concerning the generation-side is also investigated.

中文翻译：

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含碳捕集电厂的电力系统经济排放调度问题

尽管电网中的可再生能源发电水平不断提高，但化石燃料发电厂在产生碳排放方面仍然发挥着重要作用。将碳捕获和储存系统集成到传统发电厂可以显着减少碳排放的扩散。在本文中，配备碳捕获系统的可再生能源和燃煤联合发电厂的经济排放调度在多目标优化框架中得到解决。水力发电厂、抽水蓄能和需求响应计划增强了电力系统的灵活性。风力发电和负荷消耗的不确定性使用随机规划建模。直流潮流模型是在改进的 IEEE 24 总线测试系统上实现的。解决这个问题导致了一个最优的帕累托边界，而模糊决策方法找到了最佳解决方案。还研究了有关生成侧的目标函数的敏感性。