适用于风力发电的混合储能装置功率控制系统研究
本文关键词: 风力发电 混合储能 功率平滑 虚拟惯量 出处:《沈阳工业大学》2017年硕士论文 论文类型:学位论文
【摘要】:风力发电具有间歇性、波动性、随季节变化等特点,大规模集中并网会造成电网发电与负荷偏差、频率不稳定等问题。储能技术可以有效改善风力发电的电网友好性,减少对电网的影响。本文研究了大规模储能系统动态补偿风电场的虚拟惯量方法,并对风电场混合储能系统平滑风电功率的方法进行了研究,重点通过储能系统功率控制策略优化电池的荷电状态,提高了电池的使用寿命。主要工作包括以下几个方面:(1)对全钒液流电池和锂电池组成的混合储能系统展开了研究,对其结构和机理进行了分析,并分析了其能量流动关系;然后分别对锂电池及全钒液流电池的机理与结构进行了建模与分析,并对模型中的重要参数做出了详细的设计说明;最后,重点分析了锂电池和全钒液流电池的充放电特性,结合两者优点,提出了混合储能设备的功率分配原则,综述了混合储能装置在风电场补偿虚拟惯量中的优势。(2)针对变速恒频风电机组对电力系统惯量没有贡献的问题,本文基于储能装置的SOC反馈调节,提出了一种变参数的风电场虚拟惯量补偿控制策略,利用储能装置的SOC和电网频率变化率,通过建立模糊控制器对虚拟惯量补偿参数进行动态调节,控制储能系统补偿风电场虚拟惯量。该控制策略在满足风电场惯量响应的同时可以有效优化储能装置的SOC,防止了电池的过充过放,延长了储能系统的寿命。(3)为了在保证风电功率平滑效果的前提下提高储能使用寿命,本文提出了基于双回路SOC调节的混合储能系统风电场功率平滑控制策略。该控制策略利用储能当前的荷电状态和风电预估波动功率,通过建立模糊控制器对储能输出的功率进行平抑控制,合理分配锂电池和液流电池实际输出功率,并实时更新混合储能的荷电状态。该控制策略实现了风电场有功功率的平滑需要,可以有效地减小电池的充放电改变次数,达到保护电池的目的。为了验证上述控制策略的有效性,在Matlab/Simulink中搭建了风电场和混合储能装置模型。仿真结果表明:本文所提出的控制策略有效的平滑了风电场输出功率,补偿了风电场虚拟惯量,同时维持储能系统整体及储能设备的SOC在合理范围之内,有效地避免了过充过放现象的发生,延长了其使用寿命。
[Abstract]:Wind power generation has the characteristics of intermittence, volatility and seasonal variation, large-scale centralized grid connection will cause problems such as power generation and load deviation, frequency instability, etc. Energy storage technology can effectively improve the grid friendliness of wind power generation. In this paper, the virtual inertia method for dynamic compensation of wind farm in large-scale energy storage system is studied, and the method of smoothing wind power in hybrid energy storage system of wind farm is studied. The battery life is improved by optimizing the charging state of the battery through the power control strategy of the energy storage system. The main work includes the following aspects: 1) A hybrid energy storage system consisting of a total vanadium liquid flow battery and a lithium battery is studied. The structure and mechanism are analyzed, and the energy flow relationship is analyzed, then the mechanism and structure of the lithium battery and the all-vanadium liquid flow battery are modeled and analyzed, and the important parameters in the model are described in detail. Finally, the charge-discharge characteristics of lithium battery and vanadium liquid flow battery are analyzed, and the power distribution principle of hybrid energy storage equipment is put forward. This paper summarizes the advantages of hybrid energy storage device in wind farm compensation for virtual inertia. Aiming at the problem that variable speed constant frequency wind turbine has no contribution to the inertia of power system, this paper is based on the SOC feedback regulation of energy storage device. A variable parameter control strategy of virtual inertia compensation for wind farm is proposed. By using the SOC of the energy storage device and the frequency change rate of the power grid, a fuzzy controller is established to dynamically adjust the parameters of the virtual inertia compensation. The control system compensates the virtual inertia of the wind farm. This control strategy can effectively optimize the SOC of the energy storage device while satisfying the inertia response of the wind farm, thus preventing the over-charging and overdischarge of the battery. Prolonging the life of the energy storage system.) in order to increase the service life of the energy storage system under the premise of ensuring the smooth effect of the wind power, In this paper, a power smoothing control strategy for wind farm of hybrid energy storage system based on dual-loop SOC regulation is proposed. The control strategy utilizes the current charging state of energy storage and the predicted fluctuating power of wind power. By establishing a fuzzy controller, the output power of energy storage is controlled, and the actual output power of lithium battery and liquid flow battery is reasonably distributed. The control strategy realizes the smooth demand of active power in wind farm and can effectively reduce the number of battery charge and discharge changes. In order to verify the effectiveness of the above control strategy, a model of wind farm and hybrid energy storage device is built in Matlab/Simulink. The simulation results show that the proposed control strategy can effectively smooth the output power of the wind farm. The virtual inertia of wind farm is compensated and the SOC of the whole energy storage system and the energy storage equipment is maintained within a reasonable range. The phenomenon of overcharging and overreleasing is effectively avoided and the service life is prolonged.
【学位授予单位】:沈阳工业大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TM614
【参考文献】
相关期刊论文 前10条
1 罗毅;李达;;电池储能平抑风电功率波动的预测控制方法[J];电力科学与工程;2015年11期
2 王冉;王丹;贾宏杰;杨占勇;戚野白;范孟华;盛万兴;侯立睿;;一种平抑微网联络线功率波动的电池及虚拟储能协调控制策略[J];中国电机工程学报;2015年20期
3 刘书铭;李陈莹;李琼林;崔雪;刘会金;;电力系统串联谐波谐振的特性分析与灵敏度计算[J];电力系统保护与控制;2015年09期
4 李军徽;高天宇;赵冰;严干贵;焦健;;抑制风电功率波动的电池储能系统自适应控制策略设计[J];储能科学与技术;2015年03期
5 丁冬;刘宗歧;杨水丽;吴小刚;李婷婷;;基于模糊控制的电池储能系统辅助AGC调频方法[J];电力系统保护与控制;2015年08期
6 吕超贤;李欣然;户龙辉;尹丽;胡京;;基于小波分频与双层模糊控制的多类型储能系统平滑策略[J];电力系统自动化;2015年02期
7 卢芸;赵永来;;基于模糊神经网络风电混合储能系统优化控制[J];电力系统保护与控制;2014年12期
8 许守平;侯朝勇;胡娟;汪奂伶;杨水丽;;储能用锂离子电池管理系统研究[J];电网与清洁能源;2014年05期
9 马速良;蒋小平;马会萌;吴振威;;平抑风电波动的混合储能系统的容量配置[J];电力系统保护与控制;2014年08期
10 别朝红;李更丰;谢海鹏;;计及负荷与储能装置协调优化的微网可靠性评估[J];电工技术学报;2014年02期
,本文编号:1529185
本文链接:https://www.wllwen.com/kejilunwen/dianlidianqilunwen/1529185.html