In order to solve the carbon emissions problem in balancing the integration of renewable energy and traditional energy in the power system,a renewable energy grid operation optimization model considering carbon footprint constraints was proposed.Firstly,the cost models of thermal power generation units and photovoltaic power generation were analyzed,and a carbon footprint constraint model was proposed,taking into account the probability of insufficient power supply and energy cost loss models,subsequently,the carbon foot-print constraint model was derived.Based on the mathematical model proposed,the genetic algorithm was improved by incorporating the four parameters of carbon emissions into the algorithm solution,and further obtaining specific solution results.Using 30 node simulation to demonstrate that the proposed method compared with the original algorithm can achieve lower carbon footprint levels.
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