考虑电碳协同的工业园区微电网群优化调度策略研究  

Research on optimization scheduling strategy for industrial park microgrids considering electricity-carbon coordination

作　　者：李玲芳 游广增 张席 吴琛 曹桓熙 金昱 LI Lingfang;YOU Guangzeng;ZHANG Xi;WU Chen;CAO Huanxi;JIN Yu(Grid Planning and Research Center,Yunnan Power Grid Co.,Ltd.,Kunming 650011,China;Tianjin University,Tianjin 300072,China)

机构地区：[1]云南电网有限责任公司电网规划建设研究中心,云南昆明650011 [2]天津大学,天津300072

出　　处：《供用电》2025年第3期37-45,67,共10页Distribution & Utilization

基　　金：国家重点研发计划项目(2023YFB2407300)。

摘　　要：工业园区微电网群(industrial park microgrids,IMGs)呈现电碳深度耦合特征,传统优化调度方法独立考虑电力市场和碳配额市场交易,难以兼顾IMGs在两方市场的综合收益。提出一种考虑电碳协同的IMGs优化调度策略。首先,构建了一个IMGs电碳协同交易架构。其次,结合多类型工业负荷与工业设备的运行特性,建立IMGs数学模型。再次,构建考虑电碳协同的IMGs优化问题模型,并采用交替方向乘子法(alternating direction method of multipliers,ADMM)对模型进行分布式求解。最后,以由4个IMG构成的微电网群为例进行算例分析,以验证所提优化调度策略的有效性。算例结果表明,所提方法能够有效降低IMGs的总体运行成本约9.62%,减少碳排放约8.77%,提升能源消纳率约4.87%。Industrial Park Microgrids(IMGs)exhibit a strong coupling between electricity carbon,the traditional optimization scheduling methods considers electricity market and carbon quota markets transactions,thereby limiting the integrated benefits of IMGs in both markets.To address this issue,this paper proposes an optimization scheduling strategy for IMGs considering electricity carbon coordination.Firstly,an electricity-carbon collaborative trading framework for IMGs is developed.Next,a mathematical model is established by integrating the operational characteristics of various industrial loads and equipment.Subsequently,an optimization problem model considering electricity-carbon coordination is formulated,and the Alternating Direction Method of Multipliers(ADMM)is employed for distributed solution of the model.Finally,a case study involving four IMGs is conducted to validate the effectiveness of the proposed optimization strategy.The results demonstrate that the proposed method can effectively reduce the total operating cost of IMGs by 9.62%,decrease carbon emissions by 8.77%,and improve energy utilization by 4.87%.

关 键 词：工业园区微电网群 电-碳交易 工业负荷调控 优化调度 

分 类 号：TM732[电气工程—电力系统及自动化]