Research on Unit Commitment Problem Taking Into Account Carbon Trading Under Wind Power Integration
In order to solve the problem of environmental pollution,particle swarm optimization algorithm is proposed to solve the unit commitment problem taking into account carbon trading under wind power integration.In the aspect of model,For the CO2 produced by thermal power units,the carbon trading mechanism is introduced,and the form of limited emission and balance trading is adopted.For other pollutants such as SO2,nitrogen oxides(NOx),total suspended particulates(TSP),the emission cost is calculated as a penalty cost by establishing a functional relationship with the output of thermal power units.In terms of algorithm,this paper presents an improved binary particle swarm optimization(BPSO)algorithm,which turns the unit commitment problem with pollution cost into a two-layer optimization problem.The improved BPSO is used to determine the start-stop state of the unit in the outer layer,and the improved λ iterative algorithm is used to calculate the unit commitment and wind power output in the inner layer.In terms of calculation examples,the effectiveness of the algorithm is demonstrated by comparing it with other algorithms,the impact of changing carbon emission quotas and carbon trading costs on the unit commitment results is analyzed,and the results that balance environmental protection and economy are obtained.
wind power integrationcarbon tradingunit commitmentparticle swarm optimization algorithm
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