Geostationary Communication Satellite Solar Array Optimization Using Gravitation Search Algorithm

被引:3
|
作者
Oukil, Souad [1 ]
Boudjemai, Abdelmadjid [2 ]
机构
[1] Agence Spatiale Algerienne, Ctr Dev Satellites, Dept Ingn Satellites, Oran, Algeria
[2] Agence Spatiale Algerienne, Ctr Dev Satellites7, Dept Rech Mecan Spatiale, Oran, Algeria
关键词
Solar arrays; Satellite; Power; Temperature; Degradation; MODEL PARAMETERS; PV MODULES; CELLS; SYSTEM;
D O I
10.5028/jatm.v12.1165
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
The preliminary design of geostationary communication satellite solar array is presented in this work. Based on the power requirements, power margin requirements and performance requirements, the number of panels, strings and cells to be used on the solar array were defined. The main objective of this study was to optimize the power generated from the satellite solar array and the extraction of the parameters of a photovoltaic module, which is subject to the space environment and under a series of practical constraints, in order to extract the desired performance parameters for multiobjective functions, taking into account the solstice and equinox periods during temperature operation. A gravitational search algorithm based on the law of gravity and mass interactions was introduced. This algorithm has proved its effectiveness in optimizing system parameters in the literature. From the results obtained in this work, the total power of the optimized system was reduced by 181 W. The degradation and output power characteristics of the solar panels were calculated for different temperature values.
引用
收藏
页码:1 / 25
页数:25
相关论文
共 50 条
  • [21] Linear Dipole Antenna Array Design and Optimization Using Gravitational Search Algorithm
    Swain, Prativa
    Mohanty, Saumendra Kumar
    Mangaraj, Biswa Binayak
    PROCEEDINGS OF THE 2016 IEEE 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN ELECTRICAL & ELECTRONICS, INFORMATION, COMMUNICATION & BIO INFORMATICS (IEEE AEEICB-2016), 2016, : 514 - 518
  • [22] Fog detection using geostationary satellite data: Temporally continuous algorithm
    Jung-Rim Lee
    Chu-Yong Chung
    Mi-Lim Ou
    Asia-Pacific Journal of Atmospheric Sciences, 2011, 47 : 113 - 122
  • [23] Fog Detection Using Geostationary Satellite Data: Temporally Continuous Algorithm
    Lee, Jung-Rim
    Chung, Chu-Yong
    Ou, Mi-Lim
    ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES, 2011, 47 (02) : 113 - 122
  • [24] Search Optimization Algorithm for Satellite Moving Interference Location
    Li, Hongwei
    Chen, Jianfeng
    Ji, Xuejun
    Li, Hongwei
    2013 6TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), VOLS 1-3, 2013, : 1603 - 1607
  • [25] Launch Vehicle Selection for a Geostationary Communication Satellite using Data Envelopment Analysis
    Tetik, Taha
    Das, G. Sena
    PROCEEDINGS OF 8TH INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SPACE TECHNOLOGIES (RAST 2017), 2017, : 39 - 45
  • [26] Radar Imaging and Tracking Using Geostationary Communication Satellite Systems - A Project Description
    Nies, Holger
    Behner, Florian
    Reuter, Simon
    Meckel, Simon
    Loffeld, Otmar
    11TH EUROPEAN CONFERENCE ON SYNTHETIC APERTURE RADAR (EUSAR 2016), 2016, : 304 - 307
  • [27] Hybrid Multiobjective Optimization using Modified Cuckoo Search Algorithm in Linear Array Synthesis
    Rani, K. N. Abdul
    Abd Malek, Mohd Fareq
    Neoh, Siew Chin
    Jamlos, Faizal
    Affendi, Nur Adyani Mohd
    Mohamed, Latifah
    Saudin, Nurshafinash
    Rahim, Hasliza A.
    2012 LOUGHBOROUGH ANTENNAS & PROPAGATION CONFERENCE (LAPC), 2012,
  • [28] Multi-disciplinary System Design Optimization for All-Electric Geostationary Communication Satellite
    Ujiie, Ryo
    Nishi, Kentaro
    2018 IEEE AEROSPACE CONFERENCE, 2018,
  • [29] A simple and efficient algorithm to estimate daily global solar radiation from geostationary satellite data
    Lu, Ning
    Qin, Jun
    Yang, Kun
    Sun, Jiulin
    ENERGY, 2011, 36 (05) : 3179 - 3188
  • [30] A deep learning algorithm to estimate hourly global solar radiation from geostationary satellite data
    Jiang, Hou
    Lu, Ning
    Qin, Jun
    Tang, Wenjun
    Yao, Ling
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2019, 114