Low Carbon Optimal Scheduling of Active Distribution Network with Demand Response
To solve the active distribution network low-carbon operation.This paper proposes a two-stage low-carbon optimal scheduling model for the demand response active distribution network with the minimum carbon trans-action cost on the load side.Firstly,the day-ahead economic optimal dispatching model of the first stage of the active distribution network was established.Secondly,the carbon emission from the power generation side was calculated to the load side through the carbon flow theory and the load side was directly involved in carbon trading.Thirdly,a sec-ond-stage demand response low-carbon optimal scheduling model with the lowest load-side carbon transaction cost was established.Then,the day-ahead economic optimal scheduling model of the first stage was solved again through the optimized load.Finally,an example was analyzed based on the improved IEEE-33 node system to compare the operation and scheduling results of the active distribution network before and after demand response.Simulation results show that the proposed model and scheduling strategy can reduce power generation costs,system carbon emis-sions and load-side carbon transaction costs,which proves the feasibility of the model and scheduling strategy.
Emand responseActive distribution networkCarbon reductionCarbon flow theoryCarbon trading
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万方数据
维普
