A framework for analysing the variability of power from spatially distributed solar PV generators

被引:0
作者
Bodireddy, Janardhan [1 ]
Sam, K. Navin [1 ]
Vinith, P. R. Jain [1 ]
Ramjethmalani, C. H. [1 ]
Vinopraba, T. [1 ]
机构
[1] Natl Inst Technol Puducherry, Dept Elect & Elect Engn, Karaikal, Pondicherry, India
关键词
Solar PV generators; Spatial distribution; Solar power generation; Solar power variability; Spatial variability; Temporal variability; ENERGY VARIABILITY;
D O I
10.1007/s00202-025-03166-9
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In recent years, solar photovoltaic generators (SPVGs) have become a significant source of generation. These SPVGs are spatially distributed across the power system network (PSN) at multiple locations. The power from spatially distributed SPVGs exhibits spatial and temporal variability (SaTV) due to the solar resource variability over spatial and temporal scales. The SaTV of power from spatially distributed SPVGs poses several challenges during power system planning and operation. Therefore, this paper proposes a framework with three metrics for analyzing the SaTV of power from spatially distributed SPVGs in the PSN. To show the usefulness of the proposed framework, the SaTV of power from several scenarios of spatially distributed SPVGs in the IEEE 30 and 118 bus test systems is investigated. Further, the proposed framework is also used to analyze the spatial and temporal fluctuations of power from spatially distributed SPVGs. The results show that the SaTV of power depends on the i) spatial distribution, ii) capacity allocation, and iii) placement of SPVGs. Hence, the proposed framework will be helpful in power system planning during optimal placement and sizing of SPVGs, and analyzing the impact of SaTV during operation.
引用
收藏
页数:20
相关论文
共 36 条
[1]   Reduction of solar photovoltaic system output variability with geographical aggregation [J].
Aldeman, M. R. ;
Jo, J. H. ;
Loomis, D. G. ;
Krull, B. .
RENEWABLE AND SUSTAINABLE ENERGY TRANSITION, 2023, 3
[2]   Up-to-date literature review on Solar PV systems: Technology progress market status and R&D , [J].
Allouhi, Amine ;
Rehman, Shafiqur ;
Buker, Mahmut Sami ;
Said, Zafar .
JOURNAL OF CLEANER PRODUCTION, 2022, 362
[3]  
Bodireddy J, 2024, Int J Ambient Energy, VR1
[4]   Impact of a power ramp event on photovoltaic system power quality under different weather conditions and operating powers [J].
Boulahchiche, Saliha ;
Hadj Arab, Amar ;
Haddad, Salim ;
Boutelhig, Azzeddine ;
Bendaas, Ismail ;
Bouchakour, Salim ;
Razagui, Abdelhak .
ELECTRICAL ENGINEERING, 2024, 106 (06) :7691-7707
[5]   Photovoltaic (PV) Impact Assessment for Very High Penetration Levels [J].
Cheng, Danling ;
Mather, Barry A. ;
Seguin, Richard ;
Hambrick, Joshua ;
Broadwater, Robert P. .
IEEE JOURNAL OF PHOTOVOLTAICS, 2016, 6 (01) :295-300
[6]  
Craig M, 2021, Handbook of Energy Economics and Policy, P363
[7]   Power ramp rates and variability of individual and aggregate photovoltaic systems using measured production data at the municipal scale [J].
Ellis, Bryan E. ;
Pearre, Nathaniel ;
Swan, Lukas .
SOLAR ENERGY, 2021, 220 :363-370
[8]   Modelling impacts of utility-scale photovoltaic systems variability using the wavelet variability model for smart grid operations [J].
Emmanuel, Michael ;
Rayudu, Ramesh ;
Welch, Ian .
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2019, 31 :292-305
[9]   Electric energy system planning considering chronological renewable generation variability and uncertainty [J].
Fang, Yuchen ;
Han, Jianpei ;
Du, Ershun ;
Jiang, Haiyang ;
Fang, Yujuan ;
Zhang, Ning ;
Kang, Chongqing .
APPLIED ENERGY, 2024, 373
[10]   Long-term spatial and temporal solar resource variability over America using the NSRDB version 3 (1998-2017) [J].
Habte, Aron ;
Sengupta, Manajit ;
Gueymard, Christian ;
Golnas, Anastasios ;
Xie, Yu .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2020, 134