摘要
现阶段为充分实现综合能源系统的优化运行,低碳发展理念尤为重要。文中以促进需求侧节能减排为目的,综合考虑源荷双侧不确定性的影响,提出一种计及奖惩阶梯型碳交易的电-热综合能源调度模型。根据系统设备的实际碳排放,建立了一种无偿为系统分配碳排放配额的奖惩阶梯型碳交易机制;以系统总运行成本最小为目标对确定性模型下供需双侧资源进行协同优化;基于信息间隙决策理论在风险规避策略下建立了考虑源荷不确定性的鲁棒调度模型。通过设置不同场景分析,证明奖惩阶梯型碳交易能够更大限度的约束系统的碳排放量,协同系统低碳性和经济性;同时考虑源荷不确定性,能够提高系统的风险承受能力,使系统更具稳定性。
At this stage,the concept of low-carbon development is particularly important in order to fully realize the optimal operation of the integrated energy system.This paper proposes an integrated energy dispatching model for e-lectricity and heat that takes into account the effects of uncertainty on both the source and load sides,with the aim of promoting energy saving and emission reduction on the demand side.Based on the actual carbon emissions of the system equipment,a reward and punishment ladder-type carbon trading mechanism that allocates carbon emission allowances to the system at no cost.A deterministic model of integrated electricity-thermal energy dispatch is devel-oped with the objective of minimizing the total system operating costs.A robust scheduling model considering source load uncertainty is developed based on information-gap decision theory under a risk-averse strategy.By setting up different scenarios for analysis,it is demonstrated that reward and punishment ladder-type carbon trading can con-strain carbon emissions of the system to a greater extent and synergize the low carbon and economic performance of system.Meanwhile,consideration of source load uncertainty also increases the risk tolerance of the system and makes it more stable.
作者
赵依茗
彭道刚
徐春梅
赵慧荣
李建芳
ZHAO Yiming;PENG Daogang;XU Chunmei;ZHAO Huirong;LI Jianfang(School of Automation Engineering,Shanghai University of Electric Power,Shanghai 200090,China)
出处
《电测与仪表》
北大核心
2025年第3期208-216,共9页
Electrical Measurement & Instrumentation
基金
国家自然科学基金重大研究计划培育项目(92067105)
国家自然科学基金面上项目(71871160)
上海市“科技创新行动计划”地方院校能力建设专项项目(20020500500)
上海市青年科技英才扬帆计划项目(20YF1414900)。
关键词
奖惩阶梯型碳交易
碳排放配额
电-热综合能源
不确定性
reward and punishment ladder-type carbon trading
carbon emission allowance
electricity-thermal in-tegrated energy
uncertainty
