A Combined Energy Management Algorithm for Wind Turbine/Battery Hybrid System

被引:19
作者
Altin, Necmi [1 ]
Eyimaya, Suleyman Emre [2 ]
机构
[1] Gazi Univ, Fac Technol, Dept Elect & Elect Engn, TR-06500 Ankara, Turkey
[2] Ankara Univ, Nallihan Vocat Sch, Elect & Automat Dept, Ankara, Turkey
关键词
Wind power; energy storage system; power fluctuation mitigation; STANDALONE MODE CONTROL; RENEWABLE ENERGY; STORAGE SYSTEMS; INTEGRATION; GENERATION;
D O I
10.1007/s11664-018-6159-z
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
From an energy management standpoint, natural phenomena such as solar irradiation and wind speed are uncontrolled variables, so the correlation between the energy generated by renewable energy sources and energy demand cannot always be predicted. For this reason, energy storage systems are used to provide more efficient renewable energy systems. In these systems, energy management systems are used to control the energy storage system and establish a balance between the generated power and the power demand. In addition, especially in wind turbines, rapidly varying wind speeds cause wind power fluctuations, which threaten the power system stability, especially at high power levels. Energy storage systems are also used to mitigate the power fluctuations and sustain the power system's stability. In these systems, another controller which controls the energy storage system power to mitigate power fluctuations is required. These two controllers are different from each other. In this study, a combined energy management algorithm is proposed which can perform both as an energy control system and a power fluctuation mitigation system. The proposed controller is tested with wind energy conversion system modeled in MATLAB/Simulink. Simulation results show that the proposed controller acts as an energy management system while, at the same time, mitigating power fluctuations.
引用
收藏
页码:4430 / 4436
页数:7
相关论文
共 30 条
[1]   A Knowledge-Based Approach for Control of Two-Level Energy Storage for Wind Energy Systems [J].
Abbey, Chad ;
Strunz, Kai ;
Joos, Geza .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2009, 24 (02) :539-547
[2]  
[Anonymous], INT C CLEAN EL POW
[3]  
[Anonymous], INT SMART GRID WORKS
[4]  
[Anonymous], EEE POWER ENERGY SOC
[5]  
[Anonymous], IEEE T POWER ELECT
[6]  
[Anonymous], 2010 IEEE PES INN SM
[7]  
Babazadeh H., 2013, 45th North American Power Symposium, NAPS 2013, P3, DOI [DOI 10.1109/NAPS.2013.6666871, 10.1109/NAPS.2013.6666871]
[8]  
Baran ME, 2008, IEEE POW ENER SOC GE, P4037
[9]   Power smoothing in wind generation systems using a sensorless vector controlled induction machine driving a flywheel [J].
Cárdenas, R ;
Peña, R ;
Asher, G ;
Clare, J .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2004, 19 (01) :206-216
[10]   Hybrid solar-wind system with battery storage operating in grid-connected and standalone mode: Control and energy management - Experimental investigation [J].
Dali, Mehdi ;
Belhadj, Jamel ;
Roboam, Xavier .
ENERGY, 2010, 35 (06) :2587-2595