考虑新能源爬坡的风光火耦合系统源荷匹配性分析及容量优化配置
Source-Load Matching Analysis and Optimal Planning of Wind-Solar-Thermal Coupled System Considering Renewable Energy Ramps
夏芹芹 1罗永捷 1王荣茂 2邹尧 1罗桓桓 2李金灿 3周念成 1王强钢1
作者信息
- 1. 重庆大学输配电装备及系统安全与新技术国家重点实验室,重庆 400044
- 2. 国网辽宁省电力有限公司,沈阳 110002
- 3. 广西电网有限责任公司,南宁 530012
- 折叠
摘要
风力发电、光伏发电与火力发电经同一点并网形成耦合系统,是我国北方地区发电侧灵活性调节电源与新能源间高效、低碳协同的一种形式.考虑区域新能源爬坡特性,结合源荷匹配分析,发掘和利用其规律,研究风光火耦合系统的容量优化配置方法,为耦合系统规划提供参考.首先,简述耦合系统运行模式和不确定性处理方法;其次,考虑耦合系统风光互补、爬坡事件和关键负荷特性,选取并提出相关指标用于源荷匹配评价;再次,考虑源荷特性、匹配、成本和收益等约束,建立耦合系统容量优化配置模型;最后,基于辽宁地区实际数据进行算例仿真,得到该地区耦合系统风、光的最优安装容量,并分析上述源荷相关因素与容量优化配置结果之间的相互影响,为新能源最优容量配置提供了参考与建议.
Abstract
Wind,photovoltaic,and thermal power generation can form a coupled system through the same grid-connected point,which is a high coordination and low-carbon approach of renewable energy and flexible regulating power source at generation side in northern China.By considering renewable energy ramps and source-load matching analysis,this paper studies the optimal capacity planning of a wind-solar-thermal coupled system to provide reference for coupled system planning.First,the operation model and the uncertainty method of coupled system are briefly described.Then,considering the wind-solar complementary,ramp events,and critical load characteristics,relevant indices are selected and proposed for source-load matching evaluation.After that,considering the constraints of source-load characteristics,matching,and cost,an optimal capacity planning model of wind-solar-thermal coupled system is established.Finally,based on the actual data in Liaoning Province,a case study is conducted to acquire the optimal capacity of the wind and solar generation in the area,and the interaction between the source-load relevant indices and the planning results is analyzed,which provides reference and suggestion for the optimal capacity planning of renewable energy generation.
关键词
风光火耦合系统/容量优化配置/源荷匹配/爬坡事件Key words
wind-solar-thermal coupled system/optimal capacity planning/source-load matching/ramp event引用本文复制引用
基金项目
国家重点研发计划项目(2019YFB1505400)
出版年
2024
NETL
NSTL
维普
万方数据