1. 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司, 内蒙古自治区,呼和浩特市,010000
2. 浙江大学 电气工程学院,浙江省,杭州市,310027
[ "张爱军(1972),男,硕士,正高级工程师,研究方向为电力系统稳定分析,E-mail:1940434952@qq.com" ]
[ "刘会强(1990),男,硕士,工程师,研究方向为新能源电力系统安全稳定控制,E-mail:llhhqq0605@163.com" ]
[ "慕腾(1992),男,硕士,工程师,研究方向为电力系统仿真计算分析,E-mail:1296536697@qq.com" ]
[ "王秀丽(1978),女,硕士生导师,副教授,通信作者,研究方向为新型电力系统规划运行与控制、新能源发电及控制技术、电力市场等,E-mail:sxmw1977@126.com" ]
[ "文福拴(1965),男,博士生导师,教授,研究方向为电力系统投资、规划与运行优化、电力经济与电力市场、智能电网与电动汽车、电力系统警报处理、故障诊断与系统恢复等,E-mail:fushuan.wen@gmail.com" ]
纸质出版:2026
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张爱军, 刘会强, 慕腾, 等. 高比例新能源大送端基地风光火储容量优化配置[J]. 现代电力, 2026,43(2):356-367.
ZHANG Aijun, LIU Huiqiang, MU Teng, et al. Optimal Capacity Allocation of Wind-photovoltaic-thermal-storage System in High Proportion New Energy Sending Terminal Base[J]. 2026, 43(2): 356-367.
张爱军, 刘会强, 慕腾, 等. 高比例新能源大送端基地风光火储容量优化配置[J]. 现代电力, 2026,43(2):356-367. DOI: 10.19725/j.cnki.1007-2322.2023.0420.
ZHANG Aijun, LIU Huiqiang, MU Teng, et al. Optimal Capacity Allocation of Wind-photovoltaic-thermal-storage System in High Proportion New Energy Sending Terminal Base[J]. 2026, 43(2): 356-367. DOI: 10.19725/j.cnki.1007-2322.2023.0420.
在双碳能源战略目标背景下,为应对内蒙古电力系统新能源接纳能力的不断提升,提高沙漠基地环境下投资风光火储的能源利用率,提出一种考虑不同典型日和不同场景下多耦合变量的优化模型。首先,建立风光火储荷的优化模型。其次,在考虑风光火储投资及运行成本的基础上,根据投资容量和负荷功率的耦合特性,构建考虑内用负荷和外送通道容量需求的优化双层模型。最后,构建对应四大沙漠的4种运行场景,通过Matlab软件平台进行仿真,并用Cplex进行求解,获得风光火储的最优容量配置。算例仿真结果表明,该文所配置的风光火储可以协调电力系统运行,兼顾内用和外送负荷的需求,提高系统的能源供给平衡度。
In the context of the strategic dual-carbon goal
an optimization model considering multi-coupling variables under different typical days and scenarios is proposed
aiming to cope with the continuous enhancement of the accommodation capability for new energy generation by the Inner Mongolia power system and improve the energy utilization rate of the wind-photovoltaic-thermal-storage (WPTS) investment in desert base environment. First
the optimization model of WPTS is established. Subsequently
a two-layer optimal model considering the internal load and the capacity demand of the capacity channel is constructed according to the coupling characteristics of investment capacity and load power demand. Finally
by conducting Matlab simulations and solving Cplex
the optimal capacity configuration of wind-photovolatic- thermal-storage is obtained by designing four operating scenarios corresponding to four deserts. Simulation results demonstrate that the planned WPTS system is capable of coordinating the operation of the power system with the requirements of internal and external load demands well taken into account
and the energy supply balance degree could be effectively improved.
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