Increasing Capacity Credits and Firming Wind Power using Energy Storage Systems

本项目的目标是开发分析方法（1）估计风电场容量信用（或容量值）的所有水平的风力发电渗透，（2）增加与农场容量信用使用适当大小的能量存储系统。 储能运行的规模和调度考虑了风电场特性、当地风资源状况和电力系统的电压稳定行为。 风电场容量信用评估方法基于风电场的多状态表示和有效负荷承载能力技术。 该方法的规模和调度的存储系统是基于统计分析的风电场特性和容量信用，同时考虑电力系统的负荷需求和电压稳定性行为。 电压稳定性的考虑将基于V-Q曲线、V-Q灵敏度和V-Q模态分析。智力优势：该项目将开发一系列分析工具来估计风电场容量信用以及调整和安排储能系统充电和放电操作。 这些工具可供系统规划者和运营商使用，以调节间歇性和可变风力发电，并增加风电场容量信用，从而巩固风力发电。 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计划。

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.