Dynamic optimization of PV plant cleaning time based on LS-SVR

被引：0

作者：

Zhang B. ^{[1
]}

Huang S. ^{[1
]}

Cong W. ^{[2
]}

Xing C. ^{[2
]}

Fang Z. ^{[1
]}

Deng A. ^{[1
]}

机构：

[1] School of Electrical Engineering, Chengdu Technological University, Chengdu

[2] School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu

来源：

Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2021年 / 42卷 / 09期

关键词：

LS-SVR; Power attenuation; PV power station; Surface cleaning; Weather classification;

D O I：

10.19912/j.0254-0096.tynxb.2019-0803

中图分类号：

学科分类号：

摘要：

This paper proposes a decision method using least square support vector regression (LS-SVR) to find the optimal situation. Algorithm models have been developed to predict the output power of PV plants with dust accumulation, as well as the peak sun hours according to weather classification. The economic benefits of PV plants could be evaluated dynamically for different time schedules using these models, and thus the best cleaning time during specific period is just the one that maximizes the benefits. Field experiments are carried out to verify the feasibility of our method. When the results evaluated from measured data are compared with those evaluated from prediction data, it is clear that our method is capable of predicting the optimal cleaning time of PV plants. Besides, it is also noticed that the economic benefits of optimized cleaning is also related to the length of period and cost of cleaning. The method proposed in this work provides a promising tool for the real-time optimization of dust cleaning strategy, which would be of great meaning during the maintenance and operation of PV plants. © 2021, Solar Energy Periodical Office Co., Ltd. All right reserved.

引用

页码：55 / 61

页数：6

共 16 条

[1] ZANG J B, WANG Y W, WANG X D., Computation model and experiment of dust deposition affecting transmittance of photovoltaic module, Acta energiae solaris sinica, 35, 4, pp. 624-629, (2014)
[2] STYSZKO K, JASZCZUR M, TENETA J, Et al., An analysis of the dust deposition on solar photovoltaic modules, Environmental science and pollution research, 26, 9, pp. 8393-8401, (2019)
[3] LORENZO E, MOREToN R, LUQUE I., Dust effects on PV array performance: In-field observations with non-uniform patterns, Progress in photovoltaics research & applications, 22, 6, pp. 666-670, (2014)
[4] QU H W, WANG J W., Theory and experimental research of effect of dust deposition on output characteristics of PV module, Acta energiae solaris sinica, 39, 8, pp. 2335-2340, (2018)
[5] JIANG Y, LU L, LU H., A novel model to estimate the cleaning frequency for dirty solar photovoltaic (PV) modules in desert environment, Solar energy, 140, pp. 236-240, (2016)
[6] NAEEM M, TAMIZHMANI G., Cleaning frequency optimization for soiled photovoltaic modules, 2015 IEEE 42nd Photovoltaic Specialists Conference (PVSC), (2015)
[7] XU Z M, QU H W, WANG J W, Et al., Dusty PV modules optimal cleaning cycle, Proceedings of the CSEE, 38, 6, pp. 1738-1742, (2018)
[8] HAMMAD B, ALABED M, ALGHANDOOR A, Et al., Modeling and analysis of dust and temperature effects on photovoltaic systems' performance and optimal cleaning frequency: Jordan case study, Renewable and sustainable energy reviews, 82, 3, pp. 2218-2234, (2018)
[9] ZHAO B, ZHANG S W, CAO S X, Cleaning cycle determination and cost estimation for photovoltaic modules based on dust accumulating condition monitoring, Proceedings of the CSEE, 39, 14, pp. 4205-4212, (2019)
[10] APPELS R, MUTHIRAYAN B, BEERTEN A, Et al., The effect of dust deposition on photovoltaic modules, 2012 IEEE 38th Photovoltaic Specialists Conference (PVSC), (2012)

← 1 2 →