Direct load control for alternative power system resources

电力系统需要新的资源来提供辅助服务和服务高峰负荷，以整合可变的可再生能源发电，并满足稳定增长的电力需求。传统上，这些额外的电力系统资源由中央发电厂提供。然而，环境问题和资本支出限制往往对增加新的大型发电设施造成限制。UNB的研究团队提出了一种替代和创新的辅助服务聚合直接负荷控制概念，这将对智能电网环境下电力系统资源的运行产生深远的影响。该CRD项目的目标是开发直接负荷控制的创新技术，以创造替代电力系统资源，而不会对客户的最终用途产生负面影响，并将先进技术转让给加拿大工业，以实现商业化。这些研发工作将有助于实现将电力系统的运行从“先发电后用电”转变为“先优化发电后部分用电”的长期目标，从而提高电力系统的整体高效运行，并整合更多可再生能源发电。该CRD项目由研究团队和西门子加拿大公司共同开发。该项目的重点是开发模型，预测方法和控制策略的聚合负荷的峰值负荷减少和辅助服务，并在电力分配网络的直接负荷控制的影响进行调查。开发的技术将集成到西门子的分散式能源管理系统（DEMS）和西门子的需求响应管理系统（DRMS）平台中。该项目将由大学研究人员和行业专家联合培训16名博士。和硕士生，和5名博士后研究员，为工业和大学提供具有先进知识，实践经验和工程技能的高素质人才。

Power systems need new resources to provide ancillary services and to serve peak load in order to integrate variable renewable energy generation and to meet the steadily growing electricity demand. Traditionally these additional power system resources have been provided by central generation plants. However, environmental concerns and capital expenditure constraints often impose limitations to adding new large generation facilities. The research team at UNB has proposed an alternative and innovative concept of aggregated direct load control for ancillary services, which will have a profound influence to the operation of power system resources under the smart grid environment. The objectives of this CRD project are to develop innovative technologies of direct load control for creating alternative power system resources without negative impact to customers' end use, and to transfer advanced technologies to Canadian industry for commercialization. These R&D endeavours will contribute to a long term goal of transforming the operation of power systems from "generation following consumption" to "partial consumption following optimized generation", thus improving the overall efficient operation of power systems and integrating more renewable power generation. This CRD project was developed jointly by the research team and Siemens Canada. The project focuses on developing models, forecasting methods, and control strategies of aggregated loads for peak load reduction and ancillary services, and on investigating the impact of direct load control on power distribution networks. The developed technologies will be integrated into Siemens' Decentralized Energy Management System (DEMS) and Siemens' Demand Response Management System (DRMS) platforms. This project will provide joint training by university researchers and industry experts for 16 Ph.D. and M.Sc. students, and 5 post-doctoral fellows, providing industry and universities with highly qualified personnel with advanced knowledge, hands-on experience and engineering skills.