考虑碳交易和储能系统的风光火协同优化运行  

Cooperative Optimization Operation of Wind-solar-fire Considering Carbon Trading and Energy Storage System

作　　者：朱小林[1] 刘昌 满奕[1,2] 何正磊 ZHU Xiaolin;LIU Chang;MAN Yi;HE Zhenglei(State Key Laboratory of Pulp and Paper Engineering(South China University of Technology),Guangzhou 510640,China;Pazhou Lab,Guangzhou 510335,China)

机构地区：[1]制浆造纸工程国家重点实验室(华南理工大学),广东广州510640 [2]琶洲实验室,广东广州510335

出　　处：《华北电力大学学报(自然科学版)》2025年第1期66-73,94,共9页Journal of North China Electric Power University:Natural Science Edition

基　　金：琶洲实验室青年学者项目(PLZ2021KF0019).

摘　　要：由于风电、光伏自身的局限性,使得风光火电协同互补调度成为能源可持续发展的重要解决方案,但传统研究往往只关注其发电成本与碳排放,缺乏在碳交易与储能系统场景下的协同分析。为此,将经济性和低碳性相结合,当前研究以系统发电耗煤成本与碳交易成本最低为目标,构建了风光火储联合调度模型,并使用CVXPY求解器对所提模型求解。其具体研究方案为:首先通过特征日获取模型获取代表全年用电负荷的典型日组,其次构建多能协同调度模型,最后在四种典型场景下对全年特征日调度结果进行对比分析。研究结果表明,考虑储能系统和碳交易机制的多能协同互补调度模型能更有效地提高风电、光伏的消纳能力,并降低系统的发电成本,对清洁能源的可持续发展具有重要意义。Due to the constraints of wind and solar energy,wind-solar-fire hybrid power dispatching is a crucial solution for sustainable energy development.However,the traditional research tends to focus solely on the power generation cost and carbon emission,lacking a comprehensive analysis that incorporates both carbon trading and energy storage.Therefore,combining economy and low carbon,we constructed a wind-solar-fire-storage combined dispatching model with the objective of minimizing coal consumption cost and carbon trading cost of the system power generation,and employed CVXPY solver to solve the proposed model.Firstly,we used a model for obtaining the representative day to obtain a typical day group that represents the yearly electricity load.Secondly,we built a multi-energy cooperative dispatching model.Finally,we compared and analyzed the results of the annual representative day dispatch in four typical scenarios.The results show that the proposed model considering the energy storage system and carbon trading mechanism can more effectively improve the consumption capacity of wind power and photovoltaic and reduce the generation cost of the system,which is of great significance to the sustainable development of clean energy.

关 键 词：能源可持续 碳交易成本 风光火储联合调度模型 特征日获取模型 储能系统 

分 类 号：TM73[电气工程—电力系统及自动化]