RELIABILITY EVALUATION OF MULTI-STATE RENEWABLE ENERGY DISTRIBUTED GENERATION SYSTEMS

Wen Yanqing; Zheng Xiaoya; Chen Jianhui; Zhang Hui; Liu Baoliang; Qiu Qing&#x02019;an

doi:10.19912/j.0254-0096.tynxb.2023-1879

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (3) : 199-206. DOI: 10.19912/j.0254-0096.tynxb.2023-1879

RELIABILITY EVALUATION OF MULTI-STATE RENEWABLE ENERGY DISTRIBUTED GENERATION SYSTEMS

Wen Yanqing¹, Zheng Xiaoya², Chen Jianhui², Zhang Hui¹, Liu Baoliang¹, Qiu Qing’an³

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Abstract

In order to overcome the limitation of binary state in reliability modeling of renewable energy power generation systems, Multi-state Markov process models are constructed for the cross combination of solar photovoltaic power generation system, wind power generation system, and user power load based on the characteristics of dynamic changes in output power and user power load of the power generation system. Two important reliability indexes, availability and loss of load expectation, are derived by employing aggregated stochastic process theory. Finally, the correctness and applicability of the model are verified by numerical examples. The results show that the proposed model can provide a good theoretical basis for the reliability modeling of renewable energy power generation systems, and a more accurate reliability evaluation of power supply systems can be also achieved by using the proposed model and techniques.

Key words

solar energy / wind turbines / reliability / distributed generation system / Markov process

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Wen Yanqing, Zheng Xiaoya, Chen Jianhui, Zhang Hui, Liu Baoliang, Qiu Qing’an. RELIABILITY EVALUATION OF MULTI-STATE RENEWABLE ENERGY DISTRIBUTED GENERATION SYSTEMS[J]. Acta Energiae Solaris Sinica. 2025, 46(3): 199-206 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1879

References

[1] IEA. Trends in photovoltaic applications: survey report of selected IEA countries between1992 and 2005[R]. IEA-PVPS T1-15: 2006, the International Energy Agency, Paris, France.
[2] 张晓红, 张剑飞, 何于港, 等. 基于多状态空间划分的风电机组非完美维修决策[J]. 太阳能学报, 2022, 43(11): 203-214.
ZHANG X H, ZHANG J F, HE Y G, et al.Imperfect maintenance decision of wind turbine based on multi-state space partitioning[J]. Acta energiae solaris sinica, 2022, 43(11): 203-214.
[3] 丁明, 胡迪, 毕锐, 等. 含高渗透率可再生能源的配电网可靠性分析[J]. 太阳能学报, 2020, 41(2): 194-202.
DING M, HU D, BI R, et al.Reliability analysis of distribution system containing high penetration renewable energy[J]. Acta energiae solaris sinica, 2020, 41(2): 194-202.
[4] ATWA Y M, EL-SAADANY E F, SALAMA M M A, et al. Optimal renewable resources mix for distribution system energy loss minimization[J]. IEEE transactions on power systems, 2010, 25(1): 360-370.
[5] HEGAZY Y G, SALAMA M M A, CHIKHANI A Y. Adequacy assessment of distributed generation systems using Monte Carlo Simulation[J]. IEEE transactions on power systems, 2003, 18(1): 48-52.
[6] EL-KHATTAM W, HEGAZY Y G, SALAMA M M A. Investigating distributed generation systems performance using Monte Carlo simulation[J]. IEEE transactions on power systems, 2006, 21(2): 524-532.
[7] REI A M, SCHILLING M T.Reliability assessment of the Brazilian power system using enumeration and Monte Carlo[J]. IEEE transactions on power systems, 2008, 23(3): 1480-1487.
[8] LI Y F, ZIO E.A multi-state model for the reliability assessment of a distributed generation system via universal generating function[J]. Reliability engineering & system safety, 2012, 106: 28-36.
[9] DING Y, SHEN W X, LEVITIN G, et al.Economical evaluation of large-scale photovoltaic systems using Universal Generating Function techniques[J]. Journal of modern power systems and clean energy, 2013, 1(2): 167-176.
[10] CHENG J, TANG Y H, YU M M.The reliability of solar energy generating system with inverters in series under common cause failure[J]. Applied mathematical modelling, 2019, 68: 509-522.
[11] MAIHULLA A S, YUSUF I, SALIHU ISA M.Reliability modeling and performance evaluation of solar photovoltaic system using Gumbel-Hougaard family copula[J]. International journal of quality & reliability management, 2022, 39(8): 2041-2057.
[12] OSTOVAR S, ESMAEILI-NEZHAD A, MOEINI-AGHTAIE M, et al.Reliability assessment of distribution system with the integration of photovoltaic and energy storage systems[J]. Sustainable energy, grids and networks, 2021, 28: 100554.
[13] ADEFARATI T, BANSAL R C.Reliability assessment of distribution system with the integration of renewable distributed generation[J]. Applied energy, 2017, 185: 158-171.
[14] COLQUHOUN D, HAWKES A G.On the stochastic properties of bursts of single ion channel openings and of clusters of bursts[J]. Philosophical transactions of the Royal Society of London, Series B, Biological Sciences, 1982, 300(1098): 1-59.
[15] LIU B L, WEN Y Q, QIU Q G, et al.Reliability analysis for multi-state systems under K-mixed redundancy strategy considering switching failure[J]. Reliability engineering & system safety, 2022, 228: 108814.
[16] LIU B L, CUI L R, WEN Y Q, et al.A cold standby repairable system with working vacations and vacation interruption following Markovian arrival process[J]. Reliability engineering & system safety, 2015, 142: 1-8.
[17] LIU B L, CUI L R, SI S B, et al.Performance measures for systems under multiple environments[J]. IEEE/CAA journal of automatica sinica, 2016, 3(1): 90-95.
[18] 温艳清, 刘宝亮, 师海燕, 等. G-混合冗余策略下多状态可修系统的可靠性[J]. 系统工程与电子技术, 2024, 46(7): 2383-2392.
WEN Y Q, LIU B L, SHI H Y, et al.Reliability of multi-state repairable systems under G-mixed redundancy strategy[J]. Systems engineering and electronics, 2024, 46(7): 2383-2392.
[19] YOUCEF ETTOUMI F, MEFTI A, ADANE A, et al.Statistical analysis of solar measurements in Algeria using beta distributions[J]. Renewable energy, 2002, 26(1): 47-67.
[20] 张娅琴, 徐政, 于海衡, 等. 实用多朝向太阳辐照度概率密度函数研究[J]. 太阳能学报, 2022, 43(11): 132-139.
ZHANG Y Q, XU Z, YU H H, et al.Study on practical probability density function of solar irradiation in multi-orientations[J]. Acta energiae solaris sinica, 2022, 43(11): 132-139.
[21] KERSTING W H.Radial distribution test feeders[C]//2001 IEEE Power Engineering Society Winter Meeting,Conference Proceedings. Columbus, OH, USA, 2001: 908-912.