Forecasting of power distribution produced in a photovoltaic power plant based on forecasted distribution of global solar radiation

被引:0
|
作者
Seme, Sebastijan [1 ]
Stumberger, Gorazd [1 ]
Vorsic, Joze [1 ]
机构
[1] Univ Maribor, Fak Elektrotehniko Racunalnistvo Informatiko, Smetanova 17, Maribor 2000, Slovenia
来源
关键词
global solar irradiance; extraterrestrial irradiance; solar energy; irradiance; renewable energy;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This work deals with the forecasting of power distribution produced in a photovoltaic (PV) power plant. Since the power produced in such a power plant depends on the global solar radiation, a new method for forecasting of global solar radiation distribution during the day is proposed. The expression for calculating extraterrestrial solar radiation G in the time interval t is an element of [t0, t0+ Delta t] is given by (4), where the orbital eccentricity factor e(t) and declination angle d are given by (5) and (7), respectively. The solar constant Gsc is defined by (3), M (1) is the Sun surface power density while Ts (2) is the temperature on the Sun surface. The global solar radiation that reaches the Earth surface Ggl depends on the extraterrestrial radiation G, the path of sunbeams through the atmosphere and the weather conditions in the atmosphere. In this work the impact of the weather conditions in the atmosphere is neglected. The spherical surfaces of the Earth and the Earth's atmosphere are approximated by two planes as shown in Fig. 1. In this way the length of the sunbeams path through the atmosphere l can be calculated by (8) where h=50 to 80 km is the atmosphere height, while the solar- altitude angle a s is defined by (6). When the extraterrestrial radiation G and the global radiation Ggl are known, the relation between them k(l) (9) can be given as a function of the sunbeam path length in the atmosphere l if the impact of weather conditions is neglected (clear sky). In this work function k(l) is approximated by a sum of exponential functions (10) whose parameters are determined by applying a stochastic search algorithm called Differential Evolution [10]. The approximation function parameters A(.) and B-. are given in Table 1 while the approximation function k(l) is shown in Fig. 2. The approximation function k(l) is applied to calculate global solar radiation Ggl- f that reaches the Earth's atmosphere (11). A comparison of the measured and by (11) forecasted global radiation distribution during a day is shown in Figs. 3 and 4. The forecasted global solar radiation distribution from Figs. 3 and 4 is used together with the PV power-plant model based on the solar-cell model, Fig. 5, equations (12) and (13), for calculation of the forecasted PV power plant output power distribution. The PV power-plant data are given in Table 2 while the comparison of measured and forecasted output power distribution is shown in Figs. 6 and 7.
引用
收藏
页码:271 / 276
页数:6
相关论文
共 50 条
  • [1] Solar Photovoltaic Power Forecasting
    El Hendouzi, Abdelhakim
    Bourouhou, Abdennaser
    [J]. JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING, 2020, 2020
  • [2] Determination of photovoltaic power by modeling solar radiation with Gamma distribution in the CEDER microgrid
    Alberto Lopez-Meraz, Raul
    Hernandez-Callejo, Luis
    Omar Jamed-Boza, Luis
    Alonso-Gomez, Victor
    [J]. REVISTA FACULTAD DE INGENIERIA-UNIVERSIDAD DE ANTIOQUIA, 2021, (99): : 32 - 43
  • [3] Power output forecasting of solar photovoltaic plant using LSTM
    Dhaked, Dheeraj Kumar
    Dadhich, Sharad
    Birla, Dinesh
    [J]. GREEN ENERGY AND INTELLIGENT TRANSPORTATION, 2023, 2 (05):
  • [4] Photovoltaic power forecasting through temperature and solar radiation estimation
    Ben Ammar, Rim
    Ben Ammar, Mohsen
    Oualha, Abdelmajid
    [J]. 2019 16TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD), 2019, : 691 - 699
  • [5] Impact of Integrating a Photovoltaic Power Plant in a Distribution Feeder
    de Oliveira, Joao Henrique
    Ramos Gomes, Joao Paulo
    Boaventura, Wallace do Couto
    Mendes, Victor Flores
    [J]. PROCEEDINGS OF 2016 17TH INTERNATIONAL CONFERENCE ON HARMONICS AND QUALITY OF POWER (ICHQP), 2016, : 842 - 847
  • [6] Solar Photovoltaic Power Forecasting: A Review
    Iheanetu, Kelachukwu J.
    [J]. SUSTAINABILITY, 2022, 14 (24)
  • [7] Intelligent solar photovoltaic power forecasting
    Poti, Keaobaka D.
    Naidoo, Raj M.
    Mbungu, Nsilulu T.
    Bansal, Ramesh C.
    [J]. ENERGY REPORTS, 2023, 9 : 343 - 352
  • [8] Monitoring System for Global Solar Radiation, Temperature, Current and Power for a Photovoltaic System Interconnected with the Electricity Distribution Network in Bogota
    Diaz, Robinson Rodriguez
    Jutinico Alarcon, Andres Leonardo
    Moreno, Robinson Jimenez
    [J]. 2013 IEEE 56TH INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS), 2013, : 485 - 488
  • [9] Forecasting solar radiation, photovoltaic power and thermal energy production applications
    Cotfas, Daniel T.
    Marzband, Mousa
    Cotfas, Petru A.
    Siroux, Monica
    Sera, Dezso
    [J]. FRONTIERS IN ENERGY RESEARCH, 2022, 10
  • [10] Dispatchable Solar Photovoltaic Power Generation Planning for Distribution Systems
    Meena, Nand K.
    Swarnkar, Anil
    Gupta, Nikhil
    Niazi, K. R.
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL AND INFORMATION SYSTEMS (ICIIS), 2017, : 25 - 30