Autonomous load management for self-forming renewable energy nanogrids

Solantro半导体公司正在与Liam Peyton教授(渥太华大学)合作，了解如何灵活 软件方法适用于行为驱动的控制功能，这些功能解决了 可再生光伏(PV)电力。光伏发电随着当地可用阳光的变化而波动，因此 本质上与通常变化的负载需求不匹配。Solantro开发了一种电源架构 在当地电网内动态匹配发电和负荷的技术-纳米电网-使用他们的 用于光伏电池板和先进电池的创新交流逆变器。这些智能设备 自主工作，但以互补的方式，以维持稳定的电网和良好的电能质量。去做 这是最有效和最具成本效益的方式，光伏电池板和电池的数量最少， 需要确定负载需求的优先顺序，有时还要推迟，以匹配光伏发电和电池状态 充电条件。这一挑战需要实现模型驱动的软件解决方案 硬件/软件协同设计，确保系统在一组复杂的负载/发电方案中保持稳定。这个 结果将是一种有效的电源管理方法，Solantro可以扩展并演变为更复杂的方法 消费者的要求。

Solantro Semiconductor Corporation is partnering with Prof. Liam Peyton (uOttawa) to understand how agile software methodologies apply to behavior-driven control functions that address the variability problem of renewable photovoltaic (PV) electrical power. PV power fluctuates with the available local sunshine so it is inherently not matched to the generally varying load demands. Solantro has developed a power architecture technology to dynamically match generation and load within a local electrical grid - a nanogrid - using their innovative alternating current inverters for both PV panels and advanced batteries. These intelligent devices work autonomously, yet in a complementary fashion, to maintain a stable grid with good power quality. To do this in the most efficient and cost-effective manner, with the minimum amount of PV panels and batteries, requires load demand to be prioritized and sometimes deferred to match PV generation and battery state of charge conditions. This challenge requires a software solution that implements a model-driven hardware/software co-design to ensure system stability across a complex set of load/generation scenarios. The result will be an effective power management approach that Solantro can scale and evolve to more complex consumer requirements.