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1.新能源利用与节能安徽省重点实验室(合肥工业大学),安徽省合肥市 230009
2.安徽送变电工程有限公司, 安徽省合肥市 230022
3.国网安徽省电力有限公司营销服务中心,安徽省合肥市 230061
4.国网安徽省电力有限公司经济技术研究院,安徽省合肥市 230022
Received:25 July 2023,
Revised:2025-02-17,
Published Online:24 April 2025,
Published:10 July 2025
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王磊,潘天宇,韩露等.考虑差异化激励的中小用户参与准线型需求响应交易机制[J].电力系统自动化,2025,49(13):137-144.
WANG Lei,PAN Tianyu,HAN Lu,et al.Trading Mechanism for Participation of Small- and Medium-sized Customers in Directrix Demand Response Considering Differentiated Incentives[J].Automation of Electric Power Systems,2025,49(13):137-144.
王磊,潘天宇,韩露等.考虑差异化激励的中小用户参与准线型需求响应交易机制[J].电力系统自动化,2025,49(13):137-144. DOI: 10.7500/AEPS20230725007.
WANG Lei,PAN Tianyu,HAN Lu,et al.Trading Mechanism for Participation of Small- and Medium-sized Customers in Directrix Demand Response Considering Differentiated Incentives[J].Automation of Electric Power Systems,2025,49(13):137-144. DOI: 10.7500/AEPS20230725007.
需求响应(DR)已成为增加需求侧灵活性的重要手段,其有效实施对解决电力系统灵活性短缺问题至关重要。然而,当前DR参与主体主要集中在大中型工商业用户,中小用户由于单体用电量小、数量众多且参与意愿低,实施效果不明显。为此,文中设计了通过负荷聚合商(LA)整合分散的中小用户响应资源参与准线型DR的交易机制。首先,提出计及响应积极度和负荷贡献度的综合评估指标以衡量中小用户参与准线型DR的效果;其次,通过设置惩罚因子来建立差异化激励机制;最后,建立了上层LA的收益优化模型和下层中小用户的补贴优化模型,并采用中国华东某地区的DR试点数据进行仿真验证。结果表明,所提机制能够有效引导中小用户积极响应,提升LA调用需求侧资源的经济效益。
Demand response (DR) has become the important means to increase the demand-side flexibility
and its effective implementation is crucial for solving the flexibility shortage of power systems. However
the current DR participating entities are mainly large- and medium-sized industrial and commercial customers
while the DR implementation effect of small- and medium-sized customers is limited due to their low individual electricity consumption
large numbers
and low participation willingness. Therefore
a trading mechanism is designed for the load aggregator (LA) to integrate the dispersed response resources of small- and medium-sized customers to participate in directrix DR. Firstly
a comprehensive evaluation indicator that takes into account the response positivity and the load contribution is proposed to measure the participation effectiveness of the small- and medium-sized customers in directrix DR. Secondly
a differentiated incentive mechanism is established by setting penalty factors. Finally
an upper-level revenue optimization model of LA and a lower-level subsidy optimization model of small- and medium-sized customers are developed. The simulation validation is carried out using pilot DR data of a certain area in East China. The results show that the proposed mechanism can effectively guide small- and medium-sized customers to respond positively
and can improve the economic efficiency of LAs in dispatching demand-side resources.
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