光伏-超级电容器混合系统的建模与控制

doi:10.3969/j.issn.1000－7229.2016.07.013

摘要/Abstract

摘要： 为解决光伏发电系统出力随机性大，波动较强等问题，提出了一种光伏-超级电容器混合系统控制策略。建立了光伏和超级电容器数学模型，构建了一种变流器少、成本低的光伏、超级电容器及可控直流负载集结于直流母线的结构，推导了各个系统的控制方程。超级电容器快速充放电，平抑直流母线电压波动，可控直流负荷柔性投切，保证超级电容器荷电状态运行于规定范围之内。此种控制策略平滑了上网功率，提高了光伏利用率，稳定了直流母线电压。基于PSCAD/EMTDC中的仿真结果验证了光伏-超级电容器混合系统模型的准确性及控制策略的有效性。

关键词: 光伏, 超级电容器, 混合系统, 建模, 协调控制, 平滑上网功率

Abstract: To solve the randomness and strong fluctuation of power output of photovoltaic （PV） power generation, this paper proposes a kind of control strategy of PV-supercapacitor （SC） hybrid system. We construct the mathematical model of PV and SC; present the structure PV, SC and controlled DC load being linked in the DC-BUS to reduce the number of converters and saving cost; and deduce the control equation of each system. The SC can charge and discharge rapidly, which contributes to stabilize the voltage fluctuation of DC-BUS. A kind of controllable DC load is put in and cut out flexibly to ensure SOC （state of charge） of SC running in the setting range. Finally, this kind of control strategy can smooth the internet power, improve the PV efficiency, and stabilize the DC-BUS voltage. The simulation results in the PSCAD/EMTDC verify the accuracy of the PV-SC hybrid system model and the effectiveness of the control strategy.

Key words: photovoltaic, super-capacitor, hybrid system, modeling, coordinated control, smoothing internet power

中图分类号:

TM 61

陈玉芳，周立丽. 光伏-超级电容器混合系统的建模与控制[J]. 电力建设, 2016, 37(7): 91-98.

CHEN Yufang, ZHOU Lili. Modeling and Control of PV-Supercapacitor Hybrid System[J]. Electric Power Construction, 2016, 37(7): 91-98.

参考文献

［1］LI Jianing， WU Zhi， ZHOU Suyang, et al. Aggregator service for PV and battery energy storage systems of residential building［J］. CSEE Journals of Power and Energy System, 2015, 1（4）: 4-10. ［2］THALE S S, WANDHARE R G, Agarwal V. A novel reconfigurable microgrid architecture with renewable energy sources and storage［J］. IEEE Transactions on Industry Applications, 2015, 51（2）:1805-1816. ［3］张景明,李岩松,杜儒剑,等.光储联合并网系统建模与低压耐受能力的研究［J］.电力建设,2015,36（4）:27-31. ZHANG Jingming , LI Yansong , DU Rujian , et al.Modeling and low voltage tolerance ability study of solar-battery hybrid generation system［J］.Electric Power Construction,2015,36（4）:27-31. ［4］唐西胜, 齐智平. 应用于微电网的储能及其控制技术［J］.太阳能学报, 2012, 33（3）: 517-521. TANG Xisheng, QI Zhiping. Research on the method for balancing fluctuant PV power based on hybrid energy storage system Energy storage technologies and control methods of microgrid: A survey［J］. Acta Energy Solaris Sinica, 2012, 33（3）: 517-521. ［5］何国庆,许晓艳,黄越辉,等.大规模光伏电站控制策略对孤立电网稳定性的影响［J］.电网技术,2009,33（15）: 20-25. HE Guoqing, XU Xiaoyan, Huang Yuehui, et al. Impact on stability of isolated grid of different control strategies of large photovoltaic station ［J］. Power System Technology, 2009, 33（15）: 20-25. ［6］李海平，唐巍. 风/光/储混合微电网的详细建模与仿真［J］. 电力系统保护与控制, 2012, 40（18）: 133-138. LI Haiping, TANG Wei. Detailed modeling and simulation of wind/PV/storage hybrid micro-grid［J］. Power System Protection and Control, 2012, 40（18）: 133-138. ［7］周天沛, 孙伟. 风光互补发电系统混合储能单元的容量优化设计［J］.太阳能学报, 2015, 36（3）: 757-761. ZHOU Tianpei, SUN Wei. Capacity optimization of hybrid energy storage units in wind/solar generation system［J］. Acta Energy Solaris Sinica, 2015, 36（3）: 757-761. ［8］赵兴勇, 杨涛，王灵梅. 基于复合储能的微电网运行方式切换控制策略［J］. 高电压技术, 2015, 41（7）: 2142-2147. ZHAO Xingyong, YANG Tao, WANG Lingmei. A coordinated operating control strategy for operation modes transfer of micro-grid based on hybrid energy storage system［J］. High Voltage Engineering, 2015, 41（7）: 2142-2147. ［9］蒋玮,周赣,王晓东,等.一种适用于微电网混合储能系统的功率分配策略［J］.电力自动化设备,2015,35（4）: 39-43. JIANG Wei,ZHOU Gan,WANG Xiaodong, et al. Power allocation strategy of hybrid energy storage system for microgrid［J］.Electric Power Automation Equipment,2015,35（4）: 39-43. ［10］DING M, WANG B, CHEN Z, et al. Stabilizing control strategy of complementary energy storage in renewable energy system［C］// Innovative Smart Grid Technologies-Asia. Tianjing：IEEE, 2012:1-5. ［11］LU D C, AGELIDIS V G. Photovoltaic-battery-powered DC bus system for common portable electronic devices［J］. IEEE Transactions on Power Electronics, 2009, 24（3）:849-855. ［12］RU Y, KLEISSL J, MARTINEZ S. Storage size determination for grid-connected photovoltaic systems［J］. IEEE Transactions on Sustainable Energy, 2011, 4（1）:68-81. ［13］GAO W, ZHEGLOV V, WANG G, et al. PV-wind-fuel cell-electrolyzer micro-grid modeling and control in real time digital simulator［C］// 2009 International Conference on Clean Electrical Power. Capri：IEEE, 2009:29-34. ［14］马奎安.超级电容器储能系统中双向DC/DC变流器设计［D］. 杭州：浙江大学，2010. MA Kuian. Simulation modeling and application of the super capacitor energy storage device The design of bi-direetional DC/DC converter applied in super-capacitor storage systems［D］. Hangzhou:Zhejiang University, 2010.

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