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碳捕集燃气热电机组碳循环及其虚拟电厂优化运行 被引量:26

Optimized Operation Using Carbon Recycling for Benefit of Virtual Power Plant with Carbon Capture and Gas Thermal Power
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摘要 针对新型含碳捕集热电联产燃气机组的碳利用和经济运行问题,构建其与风电、电转气(powerto-gas,P2G)聚合的虚拟电厂。将所排放的CO2捕集并输送至P2G,作为电转气的碳原料,产气为燃气机组提供燃料补充,从而在虚拟电厂中实现碳循环利用。以虚拟电厂收益最大为目标,以CO2捕集率、热电比、热电厂电出力以及电转气功率为决策变量,建立虚拟电厂优化运行模型。仿真结果表明,这种聚合模式的虚拟电厂,可获得更高的经济效益、更好的风电消纳效果、更低的碳排放。这种虚拟电厂及其碳循环利用方式,是一种有效的减少弃风、降低排放、增强碳利用的能源运转途径,具有显著经济及社会效益。 Aiming at the problem of carbon utilization and economic operation of the new type of carbon capture and Cogeneration gas unit, a virtual power plant converged with wind power and power-to-gas(P2G) was constructed. The emitted CO2 was captured and transported to P2G as the carbon raw material for power-to-gas, so as to realize carbon recycling in virtual power plants. The optimal operation model of the virtual power plant was established. The goal was to maximize the benefit of the virtual power plant,and the decision variables were CO2 capture rate, thermoelectric ratio, electric output of the thermal power plant and electric to gas power. The simulation results show that the virtual power plant in this aggregation mode can obtain higher economic benefits, better wind power consumption, and lower carbon emissions. This virtual power plant and its carbon recycling method are an effective way to reduce wind curtailment, reduce emissions, and enhance carbon utilization. It has significant economic and social benefits.
作者 周任军 邓子昂 徐健 朱疆生 王仰之 ZHOU Renjun;DENG Ziang;XU Jian;ZHU Jiangsheng;WANG Yangzhi(Hunan Province Collaborative Innovation Center of Clean Energy and Smart Grid(Changsha University of Science and Technology),Changsha 410004,China;Yingtan Power Supply Branch,Jiangxi Province Electric Power Co,Ltd.,Yingtan 335000,China)
出处 《中国电力》 CSCD 北大核心 2020年第9期166-171,共6页 Electric Power
基金 国家自然科学基金资助项目(智能电网环境下面向需求响应的电价机制设计及市场行为研究,71331001) 湖南省自然科学基金资助项目(源荷特性指标与新能源消纳建模及数据驱动随机优化方法研究,2019JJ40302)。
关键词 燃气机组碳捕集 电转气 碳循环利用 风电消纳 虚拟电厂 gas-power plant carbon capture power to gas carbon recycling wind power consumption virtual power plant
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