Power Management Control of an Autonomous Photovoltaic/Wind Turbine/Battery System

被引:10
作者
Rekioua, Djamila [1 ]
Rekioua, Toufik [1 ]
Elsanabary, Ahmed [2 ]
Mekhilef, Saad [2 ,3 ]
机构
[1] Univ Bejaia, Fac Technol, Lab Technol Ind & Informat LTII, Bejaia 06000, Algeria
[2] Univ Tenaga Nas, Coll Engn, Dept Elect Engn, Kajang 43000, Malaysia
[3] Swinburne Univ Technol, Sch Sci Comp & Engn Technol, Hawthorn, Vic 3122, Australia
基金
英国科研创新办公室;
关键词
panels; wind turbine; solar battery storage; hybrid MPPT; optimization; design; PARTICLE SWARM OPTIMIZATION; POINT TRACKING ALGORITHMS; DIRECT TORQUE CONTROL; ENERGY MANAGEMENT; SUPERVISOR CONTROL; PUMPING SYSTEM; STRATEGY; FUZZY;
D O I
10.3390/en16052286
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The study presents an optimal control approach for managing a hybrid Photovoltaic/Wind Turbine/Battery system in an isolated area. The system includes multiple energy sources connected to a DC bus through DC/DC converters for maximum power point tracking. The proposed hybrid MPPT approach (HMPPT) manages the energy production from different sources, while the power flow method is used to balance the load and renewable power. The study shows that integrating the HMPPT algorithm and power flow approach results in improved system performance, including increased power generation and reduced stress on the batteries. The study also proposes an accurate sizing method to further improve system efficiency. The study demonstrates the effectiveness of the proposed approach by presenting results for twelve different days with varying weather conditions. The results show that the proposed approach effectively manages the energy production and load, resulting in optimal system performance. This study provides valuable insights into the optimal control of hybrid renewable energy systems, and highlights the importance of considering different energy sources and optimal sizing for maximizing system efficiency.
引用
收藏
页数:24
相关论文
共 71 条
[51]   A Review of Maximum Power Point Tracking Algorithms for Wind Energy Conversion Systems [J].
Pande, Jayshree ;
Nasikkar, Paresh ;
Kotecha, Ketan ;
Varadarajan, Vijayakumar .
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2021, 9 (11)
[52]  
Radhia G, 2013, INT CONF RENEW ENERG, P73, DOI 10.1109/ICRERA.2013.6749729
[53]   Development and Realization of an Intelligent Power Strip for Energy Consumption Management in Hybrid Wind/Photovoltaic Systems [J].
Rafa, Souad ;
Khenfri, Fouad ;
Diaf, Said .
MEDITERRANEAN GREEN ENERGY FORUM 2013: PROCEEDINGS OF AN INTERNATIONAL CONFERENCE MGEF-13, 2013, 42 :530-538
[54]  
Rekioua D., 2012, OPTIMIZATION PHOTOVO
[55]  
Rekioua D, 2020, GREEN ENERGY TECHNOL, P79, DOI 10.1007/978-3-030-34021-6_3
[56]  
Rekioua D, 2018, ADVANCES IN RENEWABLE ENERGIES AND POWER TECHNOLOGIES, VOL 1: SOLAR AND WIND ENERGIES, P349, DOI 10.1016/B978-0-12-812959-3.00011-3
[57]  
Rekioua D, 2015, INT CONF RENEW ENERG, P1382, DOI 10.1109/ICRERA.2015.7418634
[58]   Development of hybrid photovoltaic-fuel cell system for stand-alone application [J].
Rekioua, Djamila ;
Bensmail, Samia ;
Bettar, Nabila .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2014, 39 (03) :1604-1611
[59]   Energy management based fuzzy logic controller of hybrid system wind/photovoltaic/diesel with storage battery [J].
Roumila, Zoubir ;
Rekioua, Djamila ;
Rekioua, Toufik .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2017, 42 (30) :19525-19535
[60]   Review of the maximum power point tracking algorithms for stand-alone photovoltaic systems [J].
Salas, V. ;
Olias, E. ;
Barrado, A. ;
Lazaro, A. .
SOLAR ENERGY MATERIALS AND SOLAR CELLS, 2006, 90 (11) :1555-1578