Increasing Capacity Credits and Firming Wind Power using Energy Storage Systems

使用储能系统增加容量信用并巩固风电

• 批准号: 0725548
• 负责人: Surya Santoso
• 金额: $ 19.97万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0725548&HistoricalAwards=false
• 关键词: Increasing; Capacity; Credits; Firming; Wind

The objective of this project is to develop analytical methods (1) to estimate wind farm capacity credits (or capacity values) for all levels of wind power penetration, and (2) to increase with farm capacity credits using an appropriately sized of an energy storage system. The sizing and scheduling of the energy storage operation take into account wind farm characteristics, local wind resource condition, and voltage stability behavior of the power system. The approach for wind farm capacity credit estimation is based on the multi-state representation of a wind farm and the effective-load carrying capability technique. The approach for sizing and scheduling the storage system is based on the statistical analysis of wind farm characteristics and capacity credit while considering the power system load demand and voltage stability behavior. The voltage stability consideration will be based on V-Q curve, V-Q sensitivity, and V-Q modal analyses. Intellectual Merit: The project will produce a series of analytical tools to estimate wind farm capacity credits and to size and schedule energy storage system charging and discharging operation. These tools can be used by system planners and operators to regulate intermittent and variable wind power, and increase the wind farm capacity credits thereby firming wind power. Broader Impact: The project will ultimately help increase the penetration level of wind power and help lessen the dependency on fossil fuels and impacts on the environment. The project also includes participation of underrepresented students from a non-PhD granting institution and infuses research activities into its energy system program.

该项目的目标是开发分析方法(1)估计所有级别风电渗透率的风电场容量额度(或容量值)，以及(2)使用适当规模的储能系统增加风电场容量额度。储能操作的规模和调度考虑了风电场的特点、当地的风能资源条件以及电力系统的电压稳定行为。风电场容量信用评估方法是基于风电场的多状态表示和有效承载能力技术。在综合考虑电力系统负荷需求和电压稳定行为的基础上，对风电场特性和容量信用进行了统计分析，提出了一种基于风电场特性和容量信用的存储系统容量规划方法。电压稳定性的考虑将基于V-Q曲线、V-Q灵敏度和V-Q模式分析。智力优势：该项目将生产一系列分析工具，以估计风力发电场的容量额度，并确定储能系统充放电操作的规模和时间表。系统规划者和操作员可以使用这些工具来调节间歇性和可变的风力发电，并增加风力发电场的容量额度，从而稳定风力发电。更广泛的影响：该项目最终将有助于提高风力发电的渗透率，并有助于减少对化石燃料的依赖和对环境的影响。该项目还包括来自非博士学位授予机构的代表性不足的学生的参与，并将研究活动注入其能源系统项目。