摘要
我国正构建新能源占比逐渐提高的新型电力系统,集源荷双重属性的产消者的电能交易给分布式能源就近消纳带来新的机遇和挑战。在此背景下,为提升可再生能源就近消纳,构建考虑电价吸引力因素的能源社区产消者分布式优化策略。首先,对产消者参与能源社区内部电能交易的吸引力水平进行量化,构建电价吸引力模型表征能源社区内部交易电价对产消者交易电量的影响。其次,以交易电价作为一致性变量,相邻产消者通过信息交互达成价格认同,建立能源社区全体产消者运行成本最小的日前优化调度模型,采用增广拉格朗日法进行求解。最后通过算例验证所提模型在保证产消者隐私性的同时,有效提高了社区运行的经济性及对新能源的消纳水平。
China is building a new power system with an increasing proportion of new energy.The electric energy transaction of prosumers with dual attributes of collecting source and charge brings new opportunities and challenges to the local consumption of distributed energy.In this context,to improve the nearby renewable energy consumption,this paper constructs a distributed optimization strategy for energy community prosumers,considering the attractive factor of electricity price.Firstly,the attraction level of prosumers participating in electricity trading within energy communities is quantified,and the electricity price attraction model is constructed to represent the impact of electricity prices within energy communities on electricity trading by prosumers.Secondly,with the transaction price as the consistency variable,the adjacent prosumers reach the price agreement through information interaction,establish the day-ahead optimal scheduling model with the minimum operating cost of all prosumers in the energy community,and use the augmented Lagrange method to solve the problem.Finally,an example is given to verify that the model not only guarantees the privacy of prosumers but also effectively improves the economy of community operation and the consumption level of new energy.
作者
张虹
李亚洲
孙书朋
闫贺
马泽群
刘旭
许芝菱
ZHANG Hong;LI Yazhou;SUN Shupeng;YAN He;MA Zequn;LIU Xu;XU Zhiling(Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology(Northeast Electric Power University),Ministry of Education,Jilin 132012,Jilin Province,China;State Grid Luohe Power Supply Company,Luohe 462000,Henan Province,China;Changchun No.3 Thermoelectric Branch,Jilin Power Generation Company,LTD,Changchun 130103,Jilin Province,China;State Grid Yongkang Power Supply Company,Yongkang 321300,Zhejiang Province,China)
出处
《电网技术》
北大核心
2025年第3期910-919,I0017,I0018,共12页
Power System Technology
基金
吉林省科技厅科技发展计划重点科技研发资助项目(20240302094GX)。
关键词
能源社区
电价吸引力
产消者
信息交互
分布式优化
energy community
electricity price attraction
prosumers
information interaction strategy
distributed optimization
