Development of Artificial Intelligence (A.I.) Based Energy Management System (EMS) Software

特罗斯公司是一家总部位于加拿大的先进电池储能公司，专门从事智能分布式储能解决方案。TROES主要为工业、商业和机构部门开发、设计、制造和提供高性能、经过严格测试的基于人工智能(AI)的创新物联网和基于云的能量存储系统。随着基于云的能源管理系统(EMS)软件的开发，TROES在行业中迅速发展，该软件成功地实时运行，具有各种有用的能源监测特性和功能。然而，鉴于准确的电力需求预测对于决策者有效管理能源系统至关重要，因此需要继续研究人工智能的整合。与兰伯顿学院的合作项目将专注于为电池储能系统(BESS)开发基于人工智能(AI)的完整能量管理系统(EMS)软件。该软件将能够远程监控多个电池系统，读取所有信息并将信息存储在基于云的服务器中，并预测负载，然后就如何对电池系统进行充电或放电做出决定，从而确保最终用户获得最高的经济利润。这将通过调查电力需求预测解决方案的实施情况并利用从监测中收集的数据来改进系统充电状态(SOC)估计方法来实现。这是业界公认的问题，因此，通过提高SOC的精度，系统可以避免电池过度使用，并保持更长时间的电池生命周期。总体而言，目标是为客户提供更高的电池能量存储系统性能，并远程监测和排除不同国家的TROES电池系统故障。随着收入增加30%，估计将在三年内增加5个全职就业职位。此外，这将对环境产生持久的积极影响，因为TROES电池可以通过电网或可再生能源高效充电，这反过来将减少二氧化碳排放。

TROES Corp. is a Canadian-based, advanced battery energy storage company that specializes in smart distributed energy storage solutions. Primarily, TROES develops, designs, manufactures and delivers high-performance, rigorously tested innovative Artificial Intelligence (AI) based IoT and cloud-based energy storage systems to industrial, commercial, and institutional sectors. TROES is quickly advancing in the industry with the development of a cloud-based Energy Management System (EMS) software that is successfully running live with various useful energy monitoring features and functions. However, given that accurate forecasting of electricity demand is critical to decision-makers in order to effectively manage energy systems, continued research on the integration of AI is required. The collaborative project with Lambton College will focus on developing a complete Artificial Intelligence (AI) based Energy Management System (EMS) software for Battery Energy Storage System (BESS). This software will be able to remotely monitor multiple battery systems, read all information and store information in cloud-based servers, and forecast load to then make the decision on how to charge or discharge the battery system ensuring the highest economic profit for end-users. This will be accomplished by investigating the implementation of electricity demand forecast solutions and utilizing the collected data from monitoring to improve the system State of Charge (SOC) estimate method. This is a recognized problem in the industry and therefore, by increasing the accuracy of SOC, the system can avoid over-usage of battery and maintain the battery life cycle for a longer period of time. Overall, the goal is to provide clients with increased performance on the battery energy storage systems as well as to remotely monitor and troubleshoot TROES battery system in various countries. With increased revenue by 30% it is estimated that an additional five full-time employment positions over three years will be created. As well, this will have a lasting positive impact on the environment as TROES batteries can be efficiently charged by grid power or by renewable energy sources, which, in turn, would reduce carbon dioxide emissions.