引用本文:孟旭瑶,付立军,赖心怡,孙亚璐,杨昌海,文福拴.计及源荷互补特性的“源网荷储一体化项目”优化配置[J].电力自动化设备,2024,44(7):123-131
MENG Xuyao,FU Lijun,LAI Xinyi,SUN Yalu,YANG Changhai,WEN Fushuan.Optimal configuration of “source-network-load-storage integrated project” considering source-load complementarity characteristics[J].Electric Power Automation Equipment,2024,44(7):123-131
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计及源荷互补特性的“源网荷储一体化项目”优化配置
孟旭瑶1, 付立军2, 赖心怡1, 孙亚璐3, 杨昌海3, 文福拴1
1.浙江大学 电气工程学院,浙江 杭州 310027;2.海军工程大学 电磁能技术全国重点实验室,湖北 武汉 430033;3.国网甘肃省电力公司经济技术研究院,甘肃 兰州 730030
摘要:
针对“源网荷储一体化项目”(后简称一体化项目)在风光消纳率、清洁用电率等方面的建设要求,提出了计及源荷互补特性的一体化项目优化配置方法。基于包含风光发电制氢负荷、可平移工业负荷、电动汽车快充站的一体化项目拓扑,建立了一体化项目内部的多类型负荷用电功率模型。提出基于分时Copula函数生成时序一致的风光联合出力场景集的方法,进而提出分为风光额定功率配比优化、容量配置优化、负荷接入位置优化三阶段的一体化项目优化配置方法。通过算例分析对所提方法的可行性和有效性进行仿真验证。
关键词:  “源网荷储一体化项目”  源荷互补特性  不确定集  优化配置  负荷选址
DOI:10.16081/j.epae.202405020
分类号:TM715
基金项目:国防科技重点实验室稳定支持科研项目(61422172220402)
Optimal configuration of “source-network-load-storage integrated project” considering source-load complementarity characteristics
MENG Xuyao1, FU Lijun2, LAI Xinyi1, SUN Yalu3, YANG Changhai3, WEN Fushuan1
1.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;2.National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China;3.Economic and Technological Research Institute of State Grid Gansu Electric Power Company, Lanzhou 730030, China
Abstract:
To meet the construction requirements of the “source-network-load-storage integrated project”(SNLSIP),such as the wind-photovoltaic power consumption rate and the clean electricity utilization rate, an optimal configuration method of a SNLSIP is proposed considering source-load complementarity characte-ristics. Based on the topology of the SNLSIP including the hydrogen production load supplied by wind power and photovoltaic power, translatable industrial load and the electric vehicle fast charging station, the power usage model of multi-type loads within the SNLSIP is established. Then, a generation method of wind power and photovoltaic output scenarios based on time-sharing Copula function is proposed. Furthermore, an optimization configuration method is proposed, which could be classified into three stages: wind and solar rated power ratios optimization, capacity configuration optimization, and load location optimization. The feasibility and effectiveness of the proposed method is verified through case analysis.
Key words:  source-network-load-storage integrated project  source-load complementarity characteristics  uncertain set  optimal configuration  load siting

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