Journal of Shandong University(Engineering Science) ›› 2023, Vol. 53 ›› Issue (4): 140-148.doi: 10.6040/j.issn.1672-3961.0.2022.308

• 电气工程 • Previous Articles    

Static equivalent of distribution network with distributed photovoltaic based on convolutional neural network

FAN Haiwen1, HAO Xudong2, ZHAO Kang2, XING Facai2, JIANG Zhe2, LI Changgang1   

  1. 1. School of Electrical Engineering, Shandong University, Jinan 250061, Shandong, China;
    2. Power Grid Technology Center, State Grid Shandong Electric Power Research Institute, Jinan 250003, Shandong, China
  • Published:2023-08-18

PDF (PC)

48

CLC Number: 

  • TM71
[1] 董梓童. 2021年上半年新增装机规模远超集中式电站 分布式光伏势头强劲[J]. 新能源科技, 2021(8): 19-20. DONG Zitong. In the first half of 2021, the newly installed capacity far exceeded that of centralized power station[J]. New Energy Technology, 2021(8): 19-20.
[2] ABAD M S, MA Jin. Photovoltaic hosting capacity sensitivity to active distribution network management[J]. IEEE Transactions on Power Systems, 2020, 36(1): 107-117.
[3] 刘小恺, 范晓龙, 房文轩, 等. 含多类型分布式电源的主动配电网三相动态潮流算法[J]. 山东电力技术, 2021, 48(6): 44-49. LIU Xiaokai, FAN Xiaolong, FANG Wenxuan, et al. Three-phase dynamic power flow algorithm for active distribution networks with multiple types of distributed power sources[J]. Shandong Electronic Power, 2021, 48(6): 44-49.
[4] 尤毅, 刘东于, 文鹏,等. 主动配电网技术及其进展[J]. 电力系统自动化, 2012, 36(18): 10-16. YOU Yi, LIU Dongyu, WEN Peng, et al. Active distribution network technology and its progress[J]. Automation of Electric Power Systems, 2012, 36(18): 10-16.
[5] MILANOVIC J V, YAMASHITA K, MARINEZ VILLANUEVA S, et al. International Industry Practice on Power System Load Modeling[J]. IEEE Transactions on Power Systems, 2013, 28(3): 3038-3046.
[6] DAI Wei, YU Juan, LIU Xuan, et al. Two-tier static equivalent method of active distribution networks considering sensitivity, power loss and static load characteristics[J]. International Journal of Electrical Power & Energy Systems, 2018, 100(9): 193-200.
[7] JEONG M G, KIM Y J, MOON S I, et al. Optimal voltage control using an equivalent model of a low-voltage network accommodating inverter-interfaced distributed generators[J]. Energies, 2017, 10(8):1180.
[8] ZHAO J, WANG Z, WANG J. Robust time-varying load modeling for conservation voltage reduction assessment[J]. IEEE Transactions on Smart Grid, 2018, 9(4): 3304-3312.
[9] WANG Z, WANG J. Time-varying stochastic assessment of conservation voltage reduction based on load modeling[J]. IEEE Transactions on Power Systems, 2014, 29(5): 2321-2328.
[10] SADEGHI M, SARVI G A. Determination of ZIP parameters with least squares optimization method[C] //2009 IEEE Electrical Power & Energy Conference(EPEC). Montreal, Canada: IEEE, 2009: 1-6.
[11] WEN J, JIANG L, WU Q, et al. Power system load modeling by learning based on system measurements[J]. IEEE Transactions on Power Delivery, 2003, 18(2): 364-371.
[12] 李国庆, 陆为华, 边竞, 等. 基于自适应扩散核密度估计的时序相关概率最优潮流计算方法[J]. 中国电机工程学报, 2021, 41(5): 1655-1664. LI Guoqing, LU Weihua, BIAN Jing, et al. An adaptive diffusion kernel density estimation method for calculating temporal correlation probability optimal power flow[J]. Proceeding of the CSEE, 2021, 41(5): 1655-1664.
[13] 宋宇, 李涵. 基于核密度估计和Copula函数的风、光出力场景生成[J]. 电气技术, 2022, 23(1): 56-63. SONG Yu, LI Han. Wind and light output scene generation based on kernel density estimation and Copula function[J]. Electrical Engineering, 2022, 23(1): 56-63.
[14] 李文升, 王宪, 米元泽, 等. 考虑风光多维时空相关性的电源规划方法[J]. 山东大学学报(工学版), 2022, 52(1): 111-119. LI Wensheng, WANG Xian, MI Yuanze, et al. Method for generation planning with the temporal and spatial correlation of wind and solar power[J]. Journal of Shandong University(Engineering Science), 2022, 52(1): 111-119.
[15] 白凯峰, 顾洁, 彭虹桥, 等. 融合风光出力场景生成的多能互补微网系统优化配置[J]. 电力系统自动化, 2018, 42(15): 133-141. BAI Kaifeng, GU Jie, PENG Hongqiao, et al. Optimal configuration of multi-energy complementary micro-grid system generated by combining landscape output scenarios[J]. Automation of Electric Power Systems, 2018, 42(15): 133-141.
[16] LI Changgang, WU Yue, ZHANG Hengxu, et al. STEPS: a portable dynamic simulation toolkit for electrical power system studies[J]. IEEE Transactions on Power Systems, 2020, 36(4): 3216-3226.
[17] LI Mi, CHEN Huan, WANG Xiaodong, et al. An improved particle swarm optimization algorithm with adaptive inertia weights[J]. International Journal of Information Technology & Decision Making, 2019, 18(3): 833-866.
[18] 李娜, 王晓亮. 基于PSO算法改进的经济调度优化[J]. 山东 电力技术, 2015, 42(3): 12-15. LI Na, WANG Xiaoliang. Optimization of Economic Scheduling Based on PSO Algorithm[J]. Shandong Electric Power Technology, 2015, 42(3): 12-15.
[19] 李洋麟, 江全元, 颜融, 等. 基于卷积神经网络的电力系统小干扰稳定评估[J]. 电力系统自动化, 2019, 43(2): 50-67. LI Yanglin, JIANG Quanyuan, YAN Rong, et al. Stability evaluation of power system with small disturbance based on convolutional neural network[J]. Automation of Electric Power Systems, 2019, 43(2): 50-57.
[20] 刘威, 张东霞, 王新迎, 等. 基于深度强化学习的电网紧急控制策略研究[J].中国电机工程学报, 2017, 38(1): 109-119. LIU Wei, ZHANG Dongxia, WANG Xinying, et al. Research on emergency control strategy of power network based on intensive reinforcement learning[J]. Proceedings of the CSEE, 2017, 38(1): 109-119.
[21] 王智伟, 徐海超, 郭相阳, 等. 基于卷积神经网络和层次分析的新能源电源调频能力智能预测方法[J]. 山东大学学报(工学版), 2022, 52(5): 70-76. WANG Zhiwei, XU Haichao, GUO Xiangyang, et al. Intelligent method based on convolutional neural network and analytic hierarchy process to predict frequency regulation ability of renewable energy power[J]. Journal of Shandong University(Engineering Science), 2022, 52(5): 70-76.
[1] PEI Younan, HAN Xueshan, ZHANG Yumin, YE Pingfeng, LI Jingrui. A risk-based probability reserve optimization method [J]. Journal of Shandong University(Engineering Science), 2023, 53(2): 143-154.
[2] Hengxu ZHANG,Zhimin GAO,Yongji CAO,Hao QIN,Dong YANG,Huan MA. Review and prospect of research on power system inertia with high penetration of renewable energy source [J]. Journal of Shandong University(Engineering Science), 2022, 52(5): 1-13.
[3] SUN Donglei, JIAN Qingzhi, LI Zhiqi, HAN Xueshan, WANG Mingqiang, CHEN Bo, FU Yimu. Power system uniformity planning based on source network coordination [J]. Journal of Shandong University(Engineering Science), 2022, 52(5): 92-101.
[4] Wensheng LI,Xian WANG,Yuanze MI,Yongji CAO,Xiaoming LIU,Hengxu ZHANG,Zihan LIU. Method for generation planning with the temporal and spatial correlation of wind and solar power [J]. Journal of Shandong University(Engineering Science), 2022, 52(1): 111-119, 127.
[5] Xueshan HAN,Xinyi WANG,Ming YANG,Yixiao YU. Review and prospect of renewable energy ramp events [J]. Journal of Shandong University(Engineering Science), 2021, 51(5): 53-62.
[6] Xiaoyan QI,Hengjie LIU,Qiuhua HOU,Xiaoyu LIU,Yanchao TAN,Liancheng WANG. Short-term load forecasting of iron and steel industry area based on combination model of SVM and LSTM [J]. Journal of Shandong University(Engineering Science), 2021, 51(4): 91-98.
[7] Xiaoming LIU,Yini CONG,Wenbo LI,Yutian LIU. Comprehensive decision-making method for large-scale photovoltaic system integrated to receiving-end power grid [J]. Journal of Shandong University(Engineering Science), 2019, 49(4): 115-122.
[8] Meng LIU,Taoyang XU,Changgang LI,Yue WU,Zhi WANG,Fangfang SHI,Jianjun SU,Guohui ZHANG,Kuan LI. Optimization of emergency load shedding of receiving-end power grid based on Particle Swarm Optimization [J]. Journal of Shandong University(Engineering Science), 2019, 49(1): 120-128.
[9] LI Sun, WANG Chao, ZHANG Guilin, XU Zhigen, CHENG Tao, WANG Yiyuan, WANG Ruiqi. Short-term power load forecasting based on support vector regression [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(6): 52-56.
[10] CONG Yini, CAO Zenggong, MU Hong, WANG Chunyi, LIU Yutian. Scheme analysis on GW-scale coastal mud flat PV system connected to power grid [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(6): 77-82.
[11] ZHAO Kang, WANG Chunyi, YANG Dong, LIU Yutian. Short circuit current limiting optimization of ultra-high voltage receiving-end power grid [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(4): 117-124.
[12] JI Xingquan, HAN Guozheng, LI Kejun, FU Rongrong, ZHU Yanghe. Application of improved K-means clustering algorithm based on density in distribution network block partitioning [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(4): 41-46.
[13] YU Songqing, HOU Chenghao, SUN Yingtao. Power demand forecasting in Shandong province with system dynamics [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2015, 45(6): 91-98.
[14] WANG Ming. Fault line selection method of distribution network based on the relative change rate in dominant bands [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2015, 45(4): 25-30.
[15] GAO Hong-Xia, XU Meng-Ming, LI Ge-Jun, TAN Shen-Yu. A new detecting method for the voltage sag source in a distribution system [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2009, 39(5): 115-119.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright 2018 © Editorial office of Journal of Shandong University (Engineering Science)
Supported by Beijing Magtech Co.Ltd