A New Power System Collaborative Optimization Output Strategy under Tiered Carbon Trading
With the increase in the proportion of new energy in the power system,the contradiction be-tween the comprehensive economic benefits of the system and the lack of flexibility in output regulation caused by fluctuations in new energy has intensified.To this end,this paper proposes a power economy flexible synergistic optimization output strategy.In order to constrain carbon emissions and carbon trading costs,a carbon trading mechanism is introduced to model carbon emissions quotas and actual carbon emis-sions in the system,and convert carbon emissions into dispatch resources with economic value.Aiming at the lack of flexibility of the high proportion of new energy system,the system flexibility supply and de-mand capability is analyzed and a power economy flexible collaborative optimal scheduling model is estab-lished.Then,the NSGA Ⅱ algorithm is improved by roulette selection and jumping genes to improve the model solving efficiency.Finally,the improved IEEE30 node is taken as an example for simulation analysis and comparison.The results show that the model proposed in this paper is effective.
new power systemcollaborative optimizationimproved NSGA-Ⅱ algorithmtiered carbon tradingpower system flexibility
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维普
