PDF(463 KB)
Modeling and Low Voltage Tolerance Ability Study of Solar-Battery Hybrid Generation System
ZHANG Jingming, LI Yansong, DU Rujian, LIU Jun
Electric Power Construction ›› 2015, Vol. 36 ›› Issue (4) : 27-31.
PDF(463 KB)
PDF(463 KB)
Modeling and Low Voltage Tolerance Ability Study of Solar-Battery Hybrid Generation System
To solve the randomness of photovoltaic （PV） system and low voltage tolerance ability under fault, the over voltage of DC bus, the low efficiency of PV power generation and so on, this paper brought energy storage technology into PV system, and formed solar-battery hybrid system. Detailed modeling of solar-battery co-generation system was studied, and a PV grid model was constructed based on improved maximum power tracking technology and the decoupling control of active and reactive power. The third-order dynamic model of lead-acid batteries had been simplified. In PSCAD/EMTDC, the simulation model of solar-battery hybrid system was established and the simulation results verified the correctness of the model. Furthermore, the impact of energy storage capacity on the low voltage tolerance ability of PV grid was compared. The simulation results show that reasonable storage configurations can effectively improve the low voltage tolerance ability of PV system.
photovoltaic system / energy storage / solar-battery hybrid system / low voltage tolerance ability
［1］雷一,赵争鸣.大容量光伏发电关键技术与并网影响综述［J］．电力电子，2010（3）:16-23．
［2］杜慧.太阳能光伏发电控制系统的研究［D］ .北京:华北电力大学, 2008.
Du hui. Research on the control system of solar energy photovoltaic generation［D］. Beijing: North China Electric Power University, 2008.
［3］Q/GDW 617—2011 光伏电站接入电网技术规定［S］．北京：中国电力出版社，2011.
［4］孔令国,蔡国伟,杨德友,等.光-储联合并网发电系统建模与协调控制［J］. 电网技术,2013,37（2）:312-317.
Kong Lingguo, Cai Guowei, Yang Deyou, et al. Modeling and coordinated control of grid-connected PV generation system with energy storage devices［J］.Power System Technology,2013,37（2）:312-318.
［5］许晓艳. 并网光伏电站模型及其运行特性的研究［D］．北京:中国电力科学研究院，2009:10-35．
XuXiaoyan. Research on the model of grid integration PV station and its operation charaeteristies［D］. Beijing: China Electric Power Institute, 2009:10-35.
［6］周林,武剑,粟秋华,等. 光伏阵列最大功率点跟踪控制方法综述［J］.高电压技术，2008,34（6）:1145-1154.
Zhou Lin, Wu Jian, Li Qiuhua, et al. Survey of maximum power point tracking techniques for photovoltaic array［J］.High Voltage Engineering,2008,34（6） :1145-1154.
［7］Prodanovic M, Green T C. Power quality improvement in grid-connected of three phase inverters［C］//Power Electronics Machines and Drives 2002 International Conference. London, UK: IET,2002,143（7）：24-29.
［8］张兴,曹仁贤.太阳能光伏并网发电及其逆变器控制［M］. 北京:机械工业出版社,2012:1-5.
［9］李宏仲,段建民.智能电网中蓄电池储能技术及其价值评估［M］. 北京:机械工业出版社,2012:4-7.
［10］张娟.铅酸电池储能系统建模与应用研究［D］.湖南:湖南大学,2013.
Zhang Juan. Study on the modeling of lead-acid battery storage system and its application［D］. Hunan: Hunan University, 2013.
［11］刘天琪,江东林. 基于储能单元运行方式优化的微电网经济运行［J］. 电网技术. 2012,36（1）:45-50.
Liu Tianqi, Jiang Donglin. Economic operation of microgrid based on operation mode optimization of energy storage unit［J］.Power System Technology,2012,36（1）:45-50.
［12］丁明,徐宁舟,毕锐. 用于平抑可再生能源功率波动的储能电站建模及评价［J］. 电力系统自动化,2011,35（2） :66-72.
Ding Ming, Xu Ningzhou, Bi Rui. Modeling of BESS for Smoothing renewable energy output fluctuations［J］.Automation of Electric Power Systems,2011,35（2）:66-72.
［13］孙卓新,朱永强,倪一峰,等. 基于粒子群算法的含光伏电站的配电网无功优化［J］. 电力建设, 2014,35（4）:25-30.
Sun Zhuoxin, Zhu Yongqiang, Ni Yifeng, et al. Reactive power optimization of distribution network with photovoltaic power plant based on PSO［J］.Electric Power Construction,2014,35（4）:25-30.
［14］靳文涛,马会萌,谢志佳. 电池储能系统平滑风电功率控制策略［J］. 电力建设,2012, 33（7）:7-11.
Jin Wentao, Ma Huimeng, Xie Zhijia. Wind power smoothing control strategy of battery energy storage system［J］.Electric Power Construction,2012,33（7）:7-11.
［15］李建林,李蓓,惠东.智能电网中的风光储关键技术［M］.北京:机械工业出版社,2013:1-4,70-80.
Project Supported by National Natural Science Foundation of China（NSFC）（51277066）
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