摘要
针对新能源发电占比提升、电热耦合程度加深以及燃煤机组高碳排量等问题,文章建立了一种基于新能源最优消纳与电热需求响应的含碳捕集电厂多能源系统、多时间尺度调度模型。首先,建立综合灵活运行模式的碳捕集燃煤电厂以降低系统的碳排量,提高燃煤机组配合新能源并网的灵活性;其次,将不同类型需求响应资源对应不同时间尺度的系统需求,平滑负荷峰谷差,并配合新能源最优消纳策略深挖碳捕集燃煤电厂的低碳特性;再次,计及多类电源与热源设备,以系统运行成本最小为目标函数,建立源荷协调的日前-日内-实时多时间尺度调度模型,优化不同时间尺度下负荷分配与机组出力计划,提高新能源消纳能力;最后,通过算例仿真验证了该模型的有效性与可行性。
Given the increasing proportion of new energy power generation,the deepening of electric-thermal coupling,and the high carbon emissions of coal-fired units,a multi-time-scale scheduling model of multi-energy system including carbon capture power plants is established based on new energy optimal consumption and electric-thermal demand response.First,the carbon capture coal-fired power plant model with integrated flexible operation mode is established.It can reduce the carbon emissions of the system and improve the flexibility of coal-fired units to cooperate with new energy sources.Second,the different demand response resources are applied to the load demand of different time scales,which can reduce the load peak-to-valley difference and cooperate with the optimal consumption strategy of new energy to explore the low-carbon characteristics of carbon capture based coal-fired power plants.Third,considering multiple types of power and heat source equipment and taking the minimization of system operating costs as the objective function,a day-ahead-intraday-real-time multi-time-scale scheduling model is established for source-load coordination.It can optimize the load distribution and unit output plan under different time scales,and improve the new energy consumption capacity.Finally,the effectiveness and feasibility of the model are verified by experimental simulation results.
作者
姜河
周航
赵琰
孙笑雨
解相朋
Jiang He;Zhou Hang;Zhao Yan;Sun Xiaoyu;Xie Xiangpeng(School of Renewable Energy,Shenyang Institute of Engineering,Shenyang 110136,China;Key Laboratory of Regional Multi-energy System Integration and Control of Liaoning Province,Shenyang 110136,China;Institute of Advanced Technology,Nanjing University of Posts and Telecommunications,Nanjing 210003,China)
出处
《可再生能源》
CAS
CSCD
北大核心
2024年第11期1536-1545,共10页
Renewable Energy Resources
基金
国家自然科学基金青年科学基金项目(62203311)
国家自然科学基金优秀青年基金项目(62022044)
辽宁省教育厅基本科研项目(LJKQZ2021079)
辽宁省博士科研启动基金项目(2020-BS-181)
“兴辽英才计划”项目(XLYC1907138)。
关键词
碳捕集
最优消纳
碳排放
多时间尺度
需求响应
carbon capture
optimal consumption
carbon emissions
multi-time scale
demand response