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计及管储模型的电-气IES低碳协同运行策略 被引量:1

Low⁃carbon synergistic operation strategy for electricity⁃gas IES considering pipe storage model
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摘要 为解决综合能源系统风能利用率低、燃煤机组碳排放高的情况,考虑建立碳捕集-电转气协同运行模型,充分挖掘其对可再生能源消纳和碳减排的潜力。首先,建立系统内重要能源耦合设备的运行表达式以及各能源网络的约束平衡条件,通过气管道节点压强、流量的关系推导出管储模型方程,关注其对系统运行经济性的影响;其次,利用分段线性化和二阶锥松弛技术将约束条件非线性部分作线性化处理,采用拉丁超立方抽样结合K氏距离法来描述风电功率的不确定性;接着,建立9节点电力和6节点天然气网络耦合的系统进行仿真计算,分析3种方案下系统运行的经济性、环境性,重点讨论限制电转气运行的关键因素;最后,通过风能利用、碳捕集运行、管储能力阐述多目标优化问题中的矛盾关系,结果表明所提模型对减少系统碳排放和提升风能利用率具有积极作用。 To solve the situation of low utilization of wind energy and high carbon emission of thermal power units in the integrated energy system(IES),a carbon capture⁃power⁃to⁃gas synergistic operation model is considered to fully exploit its potential for renewable energy consumption and carbon emission reduction.The operating expressions of important energy coupling equipment in the system and the constrained equilibrium conditions of each energy network are established,and the equations of the pipe storage model are derived by means of the relationship between pressure and flow rate of gas pipeline nodes,focusing on their impact on the system operating economy.The nonlinear part of the constraint condition is linearized by means of the piecewise linearization and second⁃order cone relaxation technique.The Latin hypercube sampling combined with K⁃distance method is used to describe the uncertainty of wind power.Then a 9⁃node electric power and 6⁃node natural gas network coupled system is established for the simulation and calculation,and the economy and environment of system operation under the three schemes are analyzed,focusing on the key factors limiting the power to gas operation.The contradictory relationship in the multi⁃objective optimization problem is described by means of the utilization of wind energy,carbon capture operation and storage capacity.The results show that the proposed model has a positive role in reducing the carbon emissions of the system and improving the utilization rate of wind energy.
作者 肖世豪 程志江 郭少康 李领齐 叶浩劼 XIAO Shihao;CHENG Zhijiang;GUO Shaokang;LI Lingqi;YE Haojie(MOE Engineering Research Center of Renewable Energy Power Generation and Grid-connection Control,Xinjiang University,Urumqi 830017,China)
出处 《现代电子技术》 2023年第9期178-186,共9页 Modern Electronics Technique
基金 新疆维吾尔自治区重大科技专项(2022A1001-3) 新疆维吾尔自治区自然科学基金项目(2021D01C046)。
关键词 综合能源系统 碳循环 管储模型 场景削减 非线性规划 碳捕集 IES carbon cycle pipe storage model scenario reduction nonlinear programming carbon capture
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