Combination of Carbon Taxation and SGRA Approach (RBTS and Carbon Tax Data)

An emission rate-based carbon tax is applied to fossil-fueled generators along with a Smart Grid resource allocation (SGRA) approach. The former reduces the capacity factors (CFs) of base load serving fossil-fueled units, while the latter reduces the CFs of peak load serving units. The objective is to quantify the integration of the carbon tax and the SGRA approach on CO2 emissions and electricity prices in a multi-area power grid. The integration is illustrated using the Roy Billinton test system (RBTS) and the results show potential for significant reductions in fossil fuel-based generation and CO2 emissions.

在多区域电力网络中，本研究采用基于排放率的碳税和智能电网资源分配（SGRA）方法。前者旨在降低基荷服务的化石燃料发电单元的容量系数（CFs），而后者则旨在降低峰值负荷服务的单元的容量系数。研究目标是对碳税和SGRA方法在二氧化碳排放和电价方面的集成效应进行量化。本研究通过Roy Billinton测试系统（RBTS）进行集成展示，结果显示在基于化石燃料的发电和二氧化碳排放方面具有显著降低的潜力。