Assessment Method of the Impact of Energy Policies on Carbon Emission Reduction in the Power System by Using Chronological Operation Simulation

Energy policies play a major role in the development of the power system's low-carbon future and are a crucial tool for macroeconomic regulation. The lack of quantitative research on energy policies, however, is a significant obstacle to the development of low-carbon transformation routes. In order to create a chronological operation simulation (COS) model that takes these policies into account, this paper first chooses a number of common energy policies. This paper then constructs a carbon reduction indicator evaluation system to assess the effectiveness of carbon reduction policies. Finally, based on the Hubei power system, this paper conducts simulation analyses for the years 2025, 2030, 2045, and 2060. Using the simulation analysis results, this paper calculates the indicators and evaluated and ranked the various policy scenarios using the Analytic Hierarchy Process (AHP), Entropy Weight Method (EWM), and Set Pair Analysis Theory (SPA). Based on the ranking results, the recommendations for policy transformation pathways are provided.