Two-Stage Robust Planning Scheme for Simulating Renewable Energy Integration Considering Versatile Low-Carbon Policies

Abstract

As the power industry is the largest source of carbon emissions, it is necessary to study the low-carbon planning of power supply expansion. This paper proposes a two-stage power expansion planning model considering carbon emission control, which evaluates two policies that directly and indirectly affect carbon emissions, namely the carbon tax policy and the renewable portfolio standard policy (RPS) is expected to reduce CO2 emissions. Considering the risks brought by the uncertainty of wind power output and load demand to power planning, a two-stage power expansion planning model based on robust optimization is established. Finally, the feasibility of the model proposed in this paper is verified by example analysis. The results show that the carbon tax policy can reduce carbon emissions, and the implementation of RPS can increase the proportion of new energy and be more resistant to uncertain fluctuation risks, which can be used in actual planning, providing support for formulating relevant low-carbon policies.