含碳捕集热电机组的虚拟电厂热电联合优化调度

Combined Heat and Power Optimal Dispatching in Virtual Power Plant With Carbon Capture Cogeneration Unit

燃煤热电机组特有的以热定电工作模式,会导致系统缺乏新能源消纳能力与调峰能力,且在运行过程中排放大量二氧化碳。为了促进新能源消纳和减少系统碳排放,同时提升热电机组的调峰能力,引入风电供热设备与碳捕集技术,将一定供热区域内的碳捕集热电厂、风电供热设备、风电场与光伏电站组成虚拟电厂。论文根据虚拟电厂的电源构成及其运行机理,建立了虚拟电厂热电联合优化调度模型,使用自适应免疫遗传算法对其寻优求解,并对3种运行策略进行比较研究。由算例仿真结果可知,虚拟电厂引入碳捕集技术与风电供热设备,不但可以有效地提升热电联产机组的调峰能力,提高系统经济效益,促进新能源消纳,还可以降低系统二氧化碳排放量。

The unique“electric power determined by heat”operation mode of coal-fired cogeneration units will cause insufficient peak shaving capacity of the system,impact new energy consuming,and release lots of CO2 during procedure.In order to promote the consuming of new energy and cut carbon release,and at the same time strengthen the peak shaving potentiality of combined heat and power units,wind power heating equipment and carbon capture technology were introduced.A virtual power plant was formed by carbon capture thermal power plants,wind power heating equipment,wind farms and photovoltaic power plants.Based on the power composition of the virtual power plant and its operation mechanism,the paper established an optimal scheduling model of the virtual power plant,used an adaptive immune genetic algorithm to solve it,and organized a comparative study of different operating strategies.The simulation outcomes of the calculation example indicate that the introduction of carbon capture technology and wind power heating equipment in the virtual power plant can not only virtually enhance the peak shaving ability of the combined heat and power unit,enhance the economic effectiveness of the system,accelerate the consumption of new energy,but also cut carbon dioxide release.