Risk Classification Assessment of Distribution Network With High Penetration Rate of Distributed New Energy

被引:0
|
作者
Luo, Ning [1 ]
Cao, Yi [2 ]
Liu, Jinsen [1 ]
Liu, Zhiwen [2 ]
Zhang, Yan [1 ]
Xiao, Tianying [2 ]
机构
[1] Power Grid Planning & Res Ctr Guizhou Power Grid, Guiyang, Guizhou, Peoples R China
[2] CSG, Energy Dev Res Inst, Guangzhou, Peoples R China
关键词
New energy with high penetration rate; Risk; assessment index; entropy weight method;
D O I
10.1109/ICPSAsia55496.2022.9949937
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
As a number of new energy sources are connected to distribution network, it has brought unavoidable risks to the distribution network. However, there is no risk assessment method for high-penetration new energy sources, and traditional risk assessment methods are difficult to quantitatively assess the risk. In order to accurately evaluate the operation risk of new energy distribution network with high penetration rate, a set of risk indicators is constructed from four aspects: voltage over-limit risk index, thermal stability over-limit risk index, dynamic stability over-limit risk index, and harmonic over-limit risk index. The evaluation index system of distribution network including new energy and high penetration rate, considering that there are many risk assessment indicators of distribution network, lack of intuition, and it is difficult to directly apply to actual planning and design work, the evaluation indicators are divided into three levels, using the entropy weight method assigns weights to the risk indicators of each level of the distribution network in turn, and then adds the standardized indicators by weight to obtain a comprehensive evaluation result of univariate quantification. Finally, through the test and analysis of standard examples, the validity and accuracy of the method proposed in this chapter are verified.
引用
下载
收藏
页码:252 / 257
页数:6
相关论文
共 50 条
  • [31] Hierarchical Fault Location Method for Active Distribution Network with High Penetration of Distributed Generation
    Yan, Zhenhua
    Huang, Mingyu
    Zhang, Qingping
    Gao, Bo
    Li, Xuefeng
    Ma, Rui
    Li, Zhendong
    Zhang, Shenxi
    2020 5TH INTERNATIONAL CONFERENCE ON SMART GRID AND ELECTRICAL AUTOMATION (ICSGEA 2020), 2020, : 5 - 9
  • [32] Study on Risk Assessment and Countermeasures of Distribution Network for Distributed PV Access
    Liu J.
    Qu Q.
    Yang H.
    Ma J.
    Zhang J.
    Li G.
    Dianwang Jishu/Power System Technology, 2023, 47 : 21 - 24
  • [33] Total Quadrant Security Region for Active Distribution Network with High Penetration of Distributed Generation
    Xiao, Jun
    Zu, Guoqiang
    Zhou, Huan
    Zhang, Xinsong
    JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2021, 9 (01) : 128 - 137
  • [34] Distributed Control of Thermostatically Controlled Loads in Distribution Network with High Penetration of Solar PV
    Meng, Ke
    Wang, Dongxiao
    Dong, Zhao Yang
    Gao, Xiaodan
    Zheng, Yu
    Wong, Kit Po
    CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2017, 3 (01): : 53 - 62
  • [35] Probabilistic Risk Assessment in Power Systems With High Wind Energy Penetration
    Draz, Mahmoud
    Pagel, Fabian
    Albayrak, Sahin
    IEEE Access, 2024, 12 : 140097 - 140111
  • [36] Energy penetration of large-scale distributed photovoltaic sources integrated into smart distribution network
    Zhao, Bo
    Zhang, Xuesong
    Hong, Bowen
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2012, 32 (08): : 95 - 100
  • [37] Cost allocation model for distribution networks considering high penetration of distributed energy resources
    Soares, Tiago
    Pereira, Fabio
    Morais, Hugo
    Vale, Zita
    ELECTRIC POWER SYSTEMS RESEARCH, 2015, 124 : 120 - 132
  • [38] Evaluation of energy losses in low voltage distribution grids with high penetration of distributed generation
    Ma, Chenjie
    Menke, Jan-Hendrik
    Dasenbrock, Johannes
    Braun, Martin
    Haslbeck, Matthias
    Schmid, Karl-Heinz
    APPLIED ENERGY, 2019, 256
  • [39] Review of Congestion Management Methods for Distribution Networks with High Penetration of Distributed Energy Resources
    Huang, Shaojun
    Wu, Qiuwei
    Liu, Zhaoxi
    Nielsen, Arne Hejde
    2014 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE (ISGT EUROPE), 2014,
  • [40] Voltage Quality in the Low Voltage Distribution Grids with the High Penetration of Distributed Energy Sources
    Mezera, David
    PROCEEDINGS OF THE 2015 16TH INTERNATIONAL SCIENTIFIC CONFERENCE ON ELECTRIC POWER ENGINEERING (EPE), 2015, : 292 - 295