Impact of the PV Location in Distribution Networks on Network Power Losses and Voltage Fluctuations with PSO Analysis

被引:13
作者
Wang, Puyu [1 ]
Liang, Fangyu [1 ]
Song, Jinyuan [1 ]
Jiang, Ningqiang [1 ]
Zhang, Xiao-Ping [2 ]
Guo, Ling [1 ]
Gu, Xinxin [3 ]
机构
[1] Nanjing Univ Sci & Technol NUST, Sch Automat, Nanjing 210094, Jiangsu, Peoples R China
[2] Univ Birmingham, Sch Engn, Birmingham B15 2TT, W Midlands, England
[3] Nanjing GWDR Relays Technol Co, Nanjing 210032, Jiangsu, Peoples R China
基金
英国工程与自然科学研究理事会; 中国博士后科学基金; 中国国家自然科学基金;
关键词
Distribution networks; Reactive power; Impedance; Renewable energy sources; Optimization methods; Artificial neural networks; Uncertainty; Distribution network; network power losses; particle swarm optimization (PSO); PV location; voltage fluctuations; GENERATION; GRIDS;
D O I
10.17775/CSEEJPES.2020.03030
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
Increased grid integration of photovoltaic (PV) has aggravated the uncertainty of distribution network operations. For a distribution network with PV, the impact of the PV location on the network power losses and voltage fluctuations is investigated with analytical derivations reflected by the line impedance. Optimization approaches of the PV location with consideration of two aspects, i.e., minimum network power losses and minimum voltage fluctuations, are analyzed. A particle swarm optimization (PSO) algorithm is used to synthesize an optimal compromised solution so as to determine the PV location. A 10 kV distribution network with one PV is established on the time-domain simulation environment PSCAD/EMTDC. The simulation results justify the theoretical analysis and indicate that when the active power of the PV is more/less than twice that of the overall loads/end loads, the network power losses and node voltage fluctuations are both minimum when the PV is integrated into the head/tail end of the network. When the active power of the PV is between the above two conditions, nodes t/f can be identified for the integration of the PV between the head/end nodes of the network to achieve the minimum network power losses/voltage fluctuations, respectively. The effectiveness of the proposed optimization approach is verified and can provide a reference for selecting the PV location in the distribution network.
引用
收藏
页码:523 / 534
页数:12
相关论文
共 24 条
  • [1] Voltage Control with PV Inverters in Low Voltage Networks-In Depth Analysis of Different Concepts and Parameterization Criteria
    Bletterie, Benoit
    Kadam, Serdar
    Bolgaryn, Roman
    Zegers, Antony
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2017, 32 (01) : 177 - 185
  • [2] Hybrid, Optimal, Intelligent and Classical PV MPPT Techniques: A Review
    Bollipo, Ratnakar Babu
    Mikkili, Suresh
    Bonthagorla, Praveen Kumar
    [J]. CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2021, 7 (01): : 9 - 33
  • [3] Chen X., 2017, PLANNING VOLTAGE CON, P26
  • [4] Chinese Meteorological Science Data Center, DAT SET CHIN SURF AN
  • [5] Energy Storage System for Mitigating Voltage Unbalance on Low-Voltage Networks With Photovoltaic Systems
    Chua, K. H.
    Lim, Yun Seng
    Taylor, Phil
    Morris, Stella
    Wong, Jianhui
    [J]. IEEE TRANSACTIONS ON POWER DELIVERY, 2012, 27 (04) : 1783 - 1790
  • [6] [丁明 Ding Ming], 2019, [中国电机工程学报, Proceedings of the Chinese Society of Electrical Engineering], V39, P2187
  • [7] Research on Operation-Planning Double-Layer Optimization Design Method for Multi-Energy Microgrid Considering Reliability
    Ge, Shaoyun
    Li, Jifeng
    Liu, Hong
    Sun, Hao
    Wang, Yiran
    [J]. APPLIED SCIENCES-BASEL, 2018, 8 (11):
  • [8] Ge T., 2015, THESIS HUAZHONG U SC, P83
  • [9] Probabilistic Risk Assessment of Station Blackouts in Nuclear Power Plants
    George-Williams, Hindolo
    Lee, Min
    Patelli, Edoardo
    [J]. IEEE TRANSACTIONS ON RELIABILITY, 2018, 67 (02) : 494 - 512
  • [10] [贾清泉 Jia Qingquan], 2018, [中国电机工程学报, Proceedings of the Chinese Society of Electrical Engineering], V38, P1719