Multi-timescale optimal scheduling of virtual power plant based on carbon flow calculation
In order to study the low-carbon economic operation strategy of virtual power plant,this paper proposes a multi-objective multi-timescale optimization scheduling model for virtual power plant based on three phases:day-ahead,intra-day,and real-time.First,the day-ahead optimization model for low-carbon and economic operation of virtual power plant is constructed based on energy flow structure and carbon flow measurement.Then,the day-ahead schedule is corrected by the intraday optimization model and real-time correction model to reduce the influence of uncertainty factors.The augmented ε-constraint method is used to solve the nonlinear multi-objective planning model.The simulation results show that the scheduling strategy can realize the low-carbon and economic operation of the virtual power plant while guaranteeing more than 95%accuracy of carbon flow calculation.
virtual power plantcarbon flow calculationmulti-objective optimizationmulti-timescale schedulingaugmented ε-constraint method
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