南方电网技术2025，Vol.19Issue(1)：106-117,12.DOI:10.13648/j.cnki.issn1674-0629.2025.01.011
考虑子模块特性的多站融合光储容量优化配置方法
Optimal Configuration Method of PV-Storage Capacity of Multi-Station Integration Considering Submodule Characteristics
摘要
Abstract
With the promotion of"Internet+"construction,as an important application of power Internet of Things(IoT)construc-tion,multi-station integration needs to study its modular configuration scheme suitable for different regions.Considering the life cycle attenuation of energy storage and the economic requirements of multi-station integration operators,this paper proposes a bilevel stochastic programming model considering the operation characteristics of each functional substation.Firstly,the output or load model under normal operation is determined according to the operation characteristics of functional substations that need to be fused.Secondly,considering the uncertainty of source load during long-term operation,the corresponding uncertainty characterization and processing method are adopted according to the load characteristics.The two-layer stochastic optimization model is used to solve the optimal configuration model in a long-time scale,and the operation results in the whole life cycle are equivalent to the expected values of several typical operation scenarios.Finally,the model is validated in a typical 220 kV substation scenario.关键词
多站融合/源荷不确定性/随机规划/优化配置Key words
multi-station integration/source load uncertainty/stochastic programming/optimal configuration分类
信息技术与安全科学引用本文复制引用
王兴华,可思为,潘柏崇,雷翔胜,余梦泽,董萍..考虑子模块特性的多站融合光储容量优化配置方法[J].南方电网技术,2025,19(1):106-117,12.基金项目
国家自然科学基金资助项目(52077083) （52077083）
广东省自然科学基金资助项目(2021A1515012073) （2021A1515012073）
广东省自然科学基金海上风电联合基金资助项目(2022A1515240076) （2022A1515240076）
广东电网有限责任公司重点科技项目(0300002022030103GH00032).Supported by the National Natural Science Foundation of China(52077083) （0300002022030103GH00032）
the Natural Science Foundation of Guangdong Province(2021A1515012073) （2021A1515012073）
the Guangdong Natural Science Foundation Offshore Wind Power Joint Fund(2022A15152400 76) （2022A15152400 76）
the Key Science and Technology Project of Guangdong Power Grid Co.,Ltd.(0300002022030103GH00032). （0300002022030103GH00032）
