储能系统提高风电跟踪计划出力能力的控制方法研究

发布时间：2018-04-08 19:27

本文选题：超短期风电预测功率　切入点：跟踪风电计划出力　出处：《华北电力大学》2015年硕士论文

【摘要】：近些年来,电力系统处于快速发展时期以及关键的转型期,风力发电由于环保的优势得到了快速的发展,在过去几年内扩张的速度十分迅猛。但是由于风力发电波动性和随机性而难以预测发电功率。为了防止风电大规模接入给电网安全稳定带来的影响,制定了风电跟踪计划出力能力、波动率等相关的规定。由于预测技术的限制,风电预测功率仍然存在较大误差。单纯通过对风电的控制提高其跟踪计划出力能力具有困难性,储能为提高风电跟踪计划出力能力提供了可能性。为了最大程度地提高风电跟踪计划出力能力,本文基于超短期风电预测功率,建立了包含5个控制系数的储能系统充放电控制策略,并提出了利用粒子群优化算法实时优化储能系统充放电控制系数的方法,以减少日前短期风电预测误差。以典型风电场为例进行仿真分析,对固定系数方法及滚动优化系数方法进行了比较,并分析了影响预测精度的因素,结果验证了所提方法的可行性。由于多类型储能相较于单类型储能具有优势,本文建立了目标功率在功率型储能和能量型储能之间的分配原则,并且通过模糊控制原理对功率型储能的功率进行了相关的优化控制。通过算例将多类型储能提高风电跟踪计划出力的控制效果与同等容量的单类型储能相对比。结果表明。多类型储能能够充分结合两种类型储能的优点,更大程度的提高风电跟踪计划出力能力,降低风电接入对电力系统安全稳定的影响。
[Abstract]:In recent years, the power system is in a period of rapid development and a critical transition period. Wind power generation has been rapidly developed due to the advantages of environmental protection, and the expansion rate has been very rapid in the past few years.However, it is difficult to predict the generation power due to the volatility and randomness of wind power generation.In order to prevent the impact of large-scale wind power access on the safety and stability of the power grid, the wind power tracking planning capacity, volatility and other relevant regulations are formulated.Due to the limitation of prediction technology, there are still large errors in wind power prediction.It is difficult to improve the ability of tracking and planning output by controlling wind power, and energy storage provides the possibility for improving the ability of wind power tracking.In order to improve the capacity of wind power tracking, a charging and discharging control strategy of energy storage system with five control coefficients is established based on the prediction of power of ultra-short term wind power.A method of real-time optimizing the charge and discharge control coefficient of energy storage system using particle swarm optimization algorithm is proposed in order to reduce the prediction error of short-term wind power before the day.Taking the typical wind farm as an example, the fixed coefficient method and the rolling optimization coefficient method are compared, and the factors influencing the prediction accuracy are analyzed. The results show that the proposed method is feasible.Because of the superiority of multi-type energy storage over single type energy storage, the distribution principle of target power between power-type energy storage and energy-type energy storage is established in this paper.The power of power storage is optimized by fuzzy control theory.The control effect of multi-type energy storage is compared with that of single-type energy storage of the same capacity.The results show that.Multi-type energy storage can fully combine the advantages of two types of energy storage, improve the ability of wind power tracking planning to a greater extent, reduce the impact of wind power access on the safety and stability of power system.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TM614

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