Developing a statistical methodology for sizing battery storage system for smoothing solar PV generation

整合间歇性、低成本的风能和太阳能是解决全球能源和环境问题、迈向更可持续能源未来的关键。随着太阳能光伏(PV)和风力发电的大量普及，这些间歇性能源的整合可以部分地通过使用适当大小的电池储能系统(BESS)来平滑间歇性。拟议中的项目是将更多的太阳能光伏更容易地整合到当今电网中所需技术的重要组成部分。该项目的目标是开发统计技术来确定BESS的大小，以平滑基于太阳天气预报的高频太阳能光伏系统的输出功率。开发的算法可用于公用事业公司开发先进的控制器，通过实时优化平滑高频间歇式太阳能光伏发电来整合可再生能源。这一项目的结果可能会使加拿大受益，因为许多公用事业公司没有内部资源来建立成功的太阳能集成项目，从而增加了清洁能源工作岗位，以便在海外开展项目。拟议的项目支持了马尼托巴省水电公司对安装在太阳能光伏系统附近的BESS进行评估，并促进间歇性可再生能源发电的愿望。

Integration of intermittent, low-cost wind and solar energy is key to address global energy and environmental concerns towards a more sustainable energy future. With large penetration of solar photovoltaic (PV) and wind power, integration of these intermittent sources can be addressed, in part, by using appropriately sized battery energy storage system (BESS) to smooth intermittency. The proposed project is an important component of the technology required to integrate additional solar PV more easily into today's electric grids. The objective of this project is developing statistical techniques to size BESS for smoothing higher frequencies solar PV systems output power based on a solar weather forecast. The developed algorithm can be used by utilities to develop advanced controller to integrate renewable energy by optimally smoothing high-frequency intermittent solar PV generation in real-time. The outcome of this project may benefit Canada by increasing clean energy jobs to work on projects abroad as many utilities do not have internal resources to establish successful solar integration projects. The proposed project supports Manitoba Hydro's desire to evaluate BESS installed in proximity to solar PV systems, and to promote electricity generation from intermittent renewable energy sources.