风电场配置复合储能的容量规划与优化控制研究

发布时间：2018-01-12 03:26

本文关键词：风电场配置复合储能的容量规划与优化控制研究　出处：《山东大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着世界经济的高速发展,化石能源的供应逐渐显露不足,与此同时,国民生产生活水平持续快速增长,对电力需求也大幅增长。风能具有很多优点,例如:分布面积广、储存含量丰富、可再生、无污染等。但风能发电也具有明显的缺点:一方面,风力发电的波动性、随机性和间歇性强;另一方面,大规模风电并网会对电网的稳定运行造成严重影响。储能装置的物理特性使之具有瞬时交换功率大、指令响应迅速快、调节精度准确等优点。近些年,制造成本不断下降,储能容量不断增加,储能技术的飞速发展使得把储能系统大规模引入电力系统成为现实。目前,针对风电场储能容量的配置及运行策略问题,国内外专家学者已进行了大量的研究,但是仍然存在一定的问题。本文通过大量分析风功率波动特性建立以平滑功率输出为目的目标功率优化计算模型,在此之上根据不同种类储能装置特性和数学模型,建立了复合储能系统超前控制策略。本文的主要工作具体如下:第一章简要概述本文的研究背景和意义,分析储能系统平抑风功率波动的可行性。归纳总结了风力发电技术和储能技术的发展研究现状,并对国内外学者在储能技术应用于平抑风功率波动方面的研究现状进行分析总结。第二章对锂离子电池、锌镍电池、全钒液流电池、铅酸电池以及钠硫电池等化学储能电池的特性进行了深入研究,为风电场配置合适的储能电池提供参考依据。最后根据风电场周围环境条件和不同储能系统的物理特性,确定本文所使用的具体储能电池类型。第三章为了提高风电利用率和降低储能系统配置容量,建立以期望功率方差最小为目标函数的目标功率优化计算模型,确定最优平抑目标。针对不同储能装置的特性将期望功率进行高低频分解,进行混合储能系统平抑目标分配。以储能系统总成本最小为目标函数构建储能容量优化模型,并提出复合储能运行策略。最后通过实际算例验证本文提出的充放电策略和容量优化计算模型可以取得较好的平抑效果和经济指标。第四章为有效实现铅酸蓄电池和超级电容的协调平抑,在改进不同储能平抑目标分配的基础上,基于超短期风功率预测提出HESS的超前控制策略;然后建立超前控制模型;最后通过实际风电场运行数据对本文所提方法进行验证分析。通过验证分析,结果显示该控制方法具有较高的可靠性和优势。
[Abstract]:With the rapid development of the world economy, the supply of fossil energy is gradually showing insufficient. At the same time, the standard of living of national production continues to grow rapidly, and the demand for electricity is also increasing significantly. Wind energy has many advantages. For example: wide distribution, rich storage, renewable, pollution-free, but wind power also has obvious shortcomings: on the one hand, the volatility of wind power generation, randomness and intermittent; On the other hand, large-scale wind power grid connection will have a serious impact on the stable operation of the power grid. The physical characteristics of the energy storage device make it have a large instantaneous exchange power, and the command response is fast. In recent years, the manufacturing cost is decreasing, the energy storage capacity is increasing, and the rapid development of energy storage technology makes the large-scale introduction of energy storage system into the power system become a reality. Experts and scholars at home and abroad have done a lot of research on the configuration and operation strategy of wind farm energy storage capacity. However, there are still some problems. In this paper, a power optimization model for smooth power output is established by analyzing the fluctuation characteristics of wind power. Based on the characteristics and mathematical models of different kinds of energy storage devices, the advanced control strategy of composite energy storage system is established. The main work of this paper is as follows: the first chapter briefly summarizes the research background and significance of this paper. The feasibility of stabilizing wind power fluctuation in energy storage system is analyzed. The development status of wind power generation technology and energy storage technology is summarized. And domestic and foreign scholars in the application of energy storage technology to calm wind power fluctuations are analyzed and summarized. The second chapter of lithium ion battery, zinc nickel battery, all vanadium liquid flow battery. The characteristics of lead acid batteries and sodium-sulfur batteries were studied. Finally, according to the environmental conditions around the wind farm and the physical characteristics of different energy storage systems. In chapter 3, in order to improve the utilization rate of wind power and reduce the configuration capacity of the energy storage system, the objective power optimization model with the minimum expected power variance as the objective function is established in order to improve the utilization rate of wind power and reduce the configuration capacity of the energy storage system. The optimal stabilization target is determined. The expected power is decomposed into high and low frequency according to the characteristics of different energy storage devices. The optimal model of energy storage capacity is constructed by taking the minimum total cost of energy storage system as the objective function. Finally, a practical example is given to verify that the charge-discharge strategy and the capacity optimization model proposed in this paper can achieve better stabilization effect and economic index. Chapter 4th is an effective way to realize lead-acid storage. The coordination of the pool and the super capacitor. On the basis of improving the allocation of different energy storage targets, the advanced control strategy of HESS is proposed based on ultra-short-term wind power prediction. Then the advanced control model is established. Finally, the method proposed in this paper is verified and analyzed by actual wind farm operation data, and the results show that the control method has high reliability and advantages.
【学位授予单位】：山东大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM614

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