【作者】 张云；

【导师】 陈峦；

【作者基本信息】 电子科技大学 ， 电气工程， 2018， 硕士

【摘要】 近年来,随着电力系统电源结构的逐步改善以及电力市场化的不断完善成熟,以风力发电为代表的分布式新能源将在电力市场中扮演重要角色,大比例的间歇性风电并入会对电网的稳定性造成冲击,风电主体参与电力市场交易也影响着电价和成交量的最终结果。如何在市场交易中有效提升风电场的经济效益,并且合理抑制风功率波动将成为新能源消纳过程中亟待探索的问题之一。本文以典型电力现货市场运营机制为背景,分别对考虑负荷影响与不考虑负荷影响两种情况设计了基于风电多级混合储能系统联合运行的风电场经济调度策略。主要研究内容包括:(1)对典型的电力市场运营机制与结构进行分析比较,包括分散式与集中式电力市场。选择含有大量风电参与的美国德州电力现货市场为本文研究背景,并对其进行相应的阐述,分别介绍德州电力市场的参与主体以及批发市场与零售市场的运营机制,对不同类型的市场主体如何参与各类电力市场交易及其在市场中担负的责任等进行分析。(2)对风功率、负荷与电价特性进行分析,对各类预测方法进行比较,最终选择利用ANN方法对上述数据进行确定性点预测。考虑到预测误差对市场交易可能产生的影响,应对风功率与负荷采取保守型估计,故本文在确定性点预测的基础上应用“风险指标”法求取风功率概率区间预测下限和负荷概率区间预测上限。(3)针对德州电力现货市场的运营模式,在不考虑负荷影响与考虑负荷影响两种背景下,设计基于风电多级混合储能系统的风电场策略,通过对现有储能系统的比较,对照日前市场和实时市场的不同需求,选择两级储能系统。在策略中,第一级储能系统主要目标是提高风电场经济收益,第二级储能系统以消除预测误差和平滑并网电量为主要目标。考虑负荷影响时,引入基于P2G技术的循环氢能源存储系统以满足负荷需求,减少风电弃用现象。最后,利用相关算例分析验证了本文提出储能策略的有效性。更多还原

【Abstract】 In recent years,with the gradual improvement of the power system power structure and the continuous improvement of the power market,the distributed new energy represented by wind power will play an important role in the power market.A large proportion of intermittent wind power incorporation will have an impact on the stability of the power grid.Participation of wind power entities in the power market transaction will also affect the final results of electricity prices and trading volumes.How to effectively improve the economic benefits of wind farms in market transactions,and to reasonably suppress wind power fluctuations,will become one of the issues to be explored in the process of new energy consumption.This paper takes the typical electric power spot market operation mechanism as the background,and designs the wind farm economic dispatching strategy based on the wind power hybrid energy storage system for two situations that consider the impact of load and does not consider the impact of load.The main research content includes:(1)Analysis and comparison of the typical power market operation mechanism and structure,including decentralized and centralized power markets.Select the Texas electric power market which with a large amount of wind power participation as the research background of this article and elaborate on it accordingly.The participants of the Texas Power Market were introduced respectively,as well as the operating mechanisms of their retail and wholesale markets.Describe how different types of market players participate in various types of electricity market transactions and their responsibilities in the market.(2)Analyze the characteristics of wind power,load and electricity price,compare various forecasting methods,and finally use ANN method to perform deterministic point prediction on the above data.Considering the possible impact of forecasting errors on market transactions,a conservative estimate should be made for wind power and load.Therefore,based on the deterministic point prediction,this paper applies the “Value of Wind Generation at Risk” method to obtain the lower bound of the wind power probability interval prediction and the upper bound of the load probability interval prediction.(3)In the operating mode of the Texas electricity spot market,a based two-stage hybrid energy storage system wind farm strategy was designed without considering the impact of load and considering the impact of load.Through the comparison of existing energy storage systems,two levels of energy storage systems were selected against the different needs of the day-ahead market and the real-time market.In the strategy,the main objective of the first-stage energy storage system is to improve the economic benefits of the wind farm,and the second-level energy storage system has the main objective of eliminating prediction errors and smoothing grid-connected electricity.When considering the influence of the load,a cycle-based hydrogen energy storage system based on P2 G technology was introduced to meet the load demand and reduce wind power abandonment.Finally,the validity of the energy storage strategy proposed in this paper is verified using relevant examples.更多还原