考虑可调节负荷碳减排效益的平台主导型需求响应交易方法

Platform-led demand response trading approach considering carbon reduction benefits of adjustable loads

中文关键词: 需求响应  碳排放  可调节负荷  竞价模型

英文关键词: demand response  carbon emissions  adjustable loads  bidding models

中文摘要:

      需求响应（demand response,DR）交易不仅可以促进电力供需平衡,还有减少碳排放的潜力。为挖掘可调节负荷（adjust?able loads,ALs）参与DR交易的碳减排潜力,要求ALs在参与DR交易获得经济效益的同时,还应获得碳减排收益。首先,考虑ALs对降低碳排放量作用,提出基于响应量和碳减排量的双激励型需求响应竞价模型。其次,基于提出的双激励型需求响应竞价模型,提出了计及碳交易的平台主导型需求响应交易模式。然后,采用模糊决策法,求解提出的多目标模型在解集空间内的Pareto最优解。最后,在改进的IEEE 30节点系统上,研究了工业用户、商业用户、居民用户、电动汽车充电区、5G基站等5类ALs的碳减排效果,验证所提模型的有效性。

英文摘要:

      Demand response trading not only promotes the balance between electricity supply and demand, but also has the potential to re?duce carbon emissions. The carbon emission reduction potential of ALs participating in DR trading is explored. Therefore, the economicbenefits of ALs’participation in DR trading should be accompanied by carbon emission reduction benefits. Firstly, considering the role ofALs in reducing carbon emissions, a dual incentive type of demand response model based on response volume and carbon emission reduc?tion is proposed. Secondly, based on the proposed dual incentive type of demand response model, a platform-led demand response tradingmodel is proposed to account for carbon trading. Then, the fuzzy decision-making method is used to solve the Pareto optimal solution of theproposed multi-objective model in the solution set space. Finally, the carbon reduction effects of five types of ALs, industrial customers,commercial customers, residential customers, electric vehicle charging zones, and 5G base stations, are investigated on the improved IEEE30-node system to verify the effectiveness of the proposed model.