Impact of PV penetration level on the capacity value of South Australian wind farms

被引:14
|
作者
Mosadeghy, Mehdi [1 ]
Yan, Ruifeng [1 ]
Saha, Tapan Kumar [1 ]
机构
[1] Univ Queensland, Sch Informat Technol & Elect Engn, St Lucia, Qld 4072, Australia
关键词
Wind capacity value; Photovoltaic (PV); Renewable energy; South Australia power system; Reliability assessment; Monte Carlo simulation; LOAD-CARRYING CAPABILITY; RELIABILITY ASSESSMENT; GENERATION ADEQUACY; POWER; CREDIT;
D O I
10.1016/j.renene.2015.07.072
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Renewable generations are growing fast and they are becoming the major generation technology in power systems. Amongst all renewables, wind and solar resources have the highest growth rate. However, fluctuation and uncertainty of these sources are the main barriers in their utilization and can affect reliability of power system. Therefore, these generators must be treated differently in adequacy studies and their reliability contribution should be evaluated. South Australia (SA) accounts for more than half of Australia's wind share and its solar capacity is rapidly increasing as well. Thus, not only the reliability benefit of wind is required to be investigated in this power system, but also the contribution of solar energy and its impacts should be analysed as well. The reliability benefit of wind and PV has been studied in the literature, but there is a need to evaluate their combined contribution in reality and investigate the influence of their correlations. Therefore, this paper evaluates the reliability contribution of wind and solar power in South Australia and the impact of solar energy on wind load carrying capability. State sampling Monte Carlo technique is utilized for reliability assessment and Fuzzy C-means clustering method is employed to create a multistep load model. (c) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1135 / 1142
页数:8
相关论文
共 50 条
  • [1] Correlative coherence modelling of South Australian wind farms
    Ward, K.
    Korolkiewicz, M.
    Boland, J.
    RENEWABLE ENERGY, 2013, 52 : 154 - 159
  • [2] Penetration Capacity Calculation for Wind Farms Considering Random Output
    Liu, Haitao
    Su, Jian
    Zhang, Pipei
    Bai, Hao
    Miao, Shihong
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND INTELLIGENT SYSTEMS (ICMEIS 2015), 2015, 26 : 964 - 967
  • [3] Impact of PV and Wind Penetration into a Distribution Network Using Etap
    Waqfi, Rashed R.
    Nour, Mutasim
    2017 7TH INTERNATIONAL CONFERENCE ON MODELING, SIMULATION, AND APPLIED OPTIMIZATION (ICMSAO), 2017,
  • [4] Scenic perceptions of the visual effects of wind farms on South Australian landscapes
    Lothian, Andrew
    GEOGRAPHICAL RESEARCH, 2008, 46 (02) : 196 - 207
  • [5] Impact of Wind Penetration Level on System Dynamic Performance
    Tang, Min
    Zhang, Shaohui
    Shen, Yanfei
    Li, Yong
    APPLIED MECHANICS AND MECHANICAL ENGINEERING IV, 2014, 459 : 189 - 194
  • [6] Research on penetration level of intermittent energy considering wind and PV hybrid system
    Jiang, P. (jping@seu.edu.cn), 1965, Power System Technology Press (37):
  • [7] Estimation for the Capacity Value of PV and Wind Plants Considering Output Correlation
    Cai Jilin
    Xu Qingshan
    Wang Xudong
    Jiang Ling
    POWER AND ENERGY SYSTEMS ENGINEERING, (CPESE 2017), 2017, 141 : 55 - 60
  • [8] Capacity value evaluation of wind farms considering the correlation between wind power output and load
    Cai, Jilin
    Xu, Qingshan
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2021, 15 (09) : 1486 - 1500
  • [9] Increasing the wind farms penetration level using SVC devices to ensure voltage stability
    Povečanje deleža vetrnih elektrarn z uporabo statičnih kompenzatorjev jalove energije
    Kamarposhti, Mehrdad Ahmadi (mehrdad.ahmadi.k@gmail.com), 1600, Electrotechnical Society of Slovenia (87): : 142 - 146
  • [10] Increasing the Wind Farms Penetration Level using SVC Devices to Ensure Voltage Stability
    Kamarposhti, Mehrdad Ahmadi
    ELEKTROTEHNISKI VESTNIK, 2020, 87 (03): : 142 - 146