The impact of variation in water flow rate and temperature on reliability analysis of run of the river power plants

被引:0
作者
Ghaedi, Amir [1 ]
Sedaghati, Reza [2 ]
Mahmoudian, Mehrdad [3 ]
机构
[1] Islamic Azad Univ, Dept Elect Engn, Dariun Branch, Dariun, Iran
[2] Islamic Azad Univ, Dept Elect Engn, Beyza Branch, Beyza, Iran
[3] Apadana Institue Higher Educ, Dept Elect Engn, Shiraz, Iran
关键词
reliability; renewable energy sources; GENERATION SYSTEM; ADEQUACY; FARMS;
D O I
10.1049/rpg2.12960
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A run-of-the-river power plant is a renewable energy source used for electricity production. Its power output depends on the varying water flow rate over time, which can impact the reliability of the electric network. Previous research has not studied the effects of water flow rate and temperature variations on the hazard rate of the plant's components. This paper addresses this gap by investigating the impact of these variations on the reliability of electric networks with run-of-the-river power plants. The analysis considers the hazard rates of the plant's components, incorporating the relationship between hazard rate and temperature based on the Arrhenius law. Parameters such as power output, current, power loss, operating temperature, and hazard rate are calculated for different water flow rates and ambient temperatures. Numerical simulations on a test system are conducted to examine the influence of water flow rate and temperature on the reliability indices of the electric network. The results demonstrate that water flow rate and temperature significantly affect the hazard rates of run-of-the-river power plants. This highlights the need to consider these factors in the reliability analysis of electric networks incorporating these renewable resources. To address the impact of variation of water flow rate and temperature on reliability indices of electric networks including run-of-the-river power plants, reliability analysis of these units considering variable hazard rate of assembled elements is examined here. image
引用
收藏
页码:929 / 940
页数:12
相关论文
共 37 条
  • [1] [Anonymous], 2005, POWER TRANSFORMER PA
  • [2] The IEEE Reliability Test System: A Proposed 2019 Update
    Barrows, Clayton
    Preston, Eugene
    Staid, Andrea
    Stephen, Gord
    Watson, Jean-Paul
    Bloom, Aaron
    Ehlen, Ali
    Ikaheimo, Jussi
    Jorgenson, Jennie
    Krishnamurthy, Dheepak
    Lau, Jessica
    McBennett, Brendan
    O'Connell, Matthew
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2020, 35 (01) : 119 - 127
  • [3] One-day ahead forecasting of energy production from run-of-river hydroelectric power plants with a deep learning approach
    Bilgili, M.
    Keiyinci, S.
    Ekinci, F.
    [J]. SCIENTIA IRANICA, 2022, 29 (04) : 1838 - 1852
  • [4] A RELIABILITY TEST SYSTEM FOR EDUCATIONAL PURPOSES - BASIC DATA
    BILLINTON, R
    KUMAR, S
    CHOWDHURY, N
    CHU, K
    DEBNATH, K
    GOEL, L
    KHAN, E
    KOS, P
    NOURBAKHSH, G
    OTENGADJEI, J
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 1989, 4 (03) : 1238 - 1244
  • [5] Billinton R., 1992, RELIABILITY EVALUATI, P281, DOI [DOI 10.1007/978-1-4899-0685-4, 10.1007/978-1-4899-0685-4]
  • [6] Budynas R. G., 2008, SHIGLEYS MECH ENG DE, V8
  • [7] El-Faraskoury A., 2012, ADV ELECT ENG SYST, V1, P163
  • [8] Ghaedi A, 2014, SCI IRAN, V21, P924
  • [9] Ghaedi A., 2023, ENERGY ENG MANAGE, V12, P2
  • [10] Ghaedi A., 2023, AUT J ELECT ENG, V55, P281