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作 者:李天格 胡志坚[1] 陈志 刘盛辉 LI Tiange;HU Zhijian;CHEN Zhi;LIU Shenghui(School of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,China)
机构地区:[1]武汉大学电气与自动化学院,湖北武汉430072
出 处:《电力自动化设备》2023年第1期16-24,共9页Electric Power Automation Equipment
基 金:国家重点研发计划项目(2020YFB0905900)。
摘 要:为更好地促进综合能源系统(IES)的低碳经济运行,提升多时间尺度运行优化管理水平,提出了一种考虑电-气-热-氢需求响应与阶梯式碳排放费用机制的多时间尺度低碳运行优化策略。综合考虑阶梯式碳排放费用机制,关注电、气、热之外的氢负荷需求,通过优化耦合设备中的燃气轮机热电比的可调性,建立了日前-日内滚动-实时三阶段的多时间尺度优化模型。以IES整体运行成本、碳排放费用成本、弃风弃光成本最小为经济目标,并将原非线性问题转化为混合整数线性问题,调用Gurobi求解器求解。通过仿真对比分析各类情形下的优化结果,验证了所提策略在促进低碳运行、发挥系统设备灵活性与促进清洁能源消纳方面的有效性。In order to better promote the low-carbon economic operation of integrated energy system(IES) and improve the multi-time scale operation optimization management level,a multi-time scale low-carbon operation optimization strategy considering the electricity-gas-heat-hydrogen demand response and the stepped carbon emission cost mechanism is proposed.The stepped carbon emission cost mechanism is comprehensively considered,and the hydrogen load demand besides electricity-gas-heat load demand is concerned,the threestage multi-time scale optimization model for day-ahead,intra-day rolling and real-time is established by optimizing the adjustability of the gas turbine’s heat-electricity ratio in the coupled equipments.Taking the minimum of the overall IES operation cost,the carbon emission cost,and the cost of abandoning wind and light as the economic objective,and the original nonlinear problem is transformed into the mixed integer linear problem solved by the Gurobi solver.Through the simulation comparison and analysis of the optimization results under various situations,the effectiveness of the proposed strategy from aspects of promoting low-carbon operation,giving full play to the flexibility of system equipment and promoting clean energy consumption is verified.
关 键 词:多时间尺度 需求响应 综合能源系统 阶梯式碳排放费用机制 可调热电比 氢能
分 类 号:TM73[电气工程—电力系统及自动化] TK01[动力工程及工程热物理]
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