Intelligent Microgrids-based Solutions for Optimizing Power Distribution Systems

微电网是一个最近创造的术语，它描述了一种由分布式发电（DG）源（包括风能和太阳能）组成的微型配电系统，这些分布式发电源为一组分布式负载提供服务。微电网的能力，以促进DG源供应一个高度本地化的区域与可靠的电力已经激发了大量的研究如何利用微电网概念的优势，将传统的电力系统转化为智能分散的电力分配系统，称为智能电网。特别是，一个重要的问题是智能电网是否适合优化配电系统的管理和控制，减少二氧化碳排放，提高效率和可靠性，并确保其安全性。将现有配电系统成功转换为智能电网面临着与其创建、运营和管理相关的若干技术和经济挑战。其中包括可再生能源的无缝集成，以及其成本效益，可靠性和长期可持续性。 * 该发现计划旨在开发新的算法，以优化可再生能源和系统负载波动情况下智能电网的管理、控制和运行。此外，该计划将专注于开发新的方法和技术，将人工智能和图论的优势与电网的固有可扩展性和可重新配置性相结合，以设计灵活和动态的集群智能电网以及底层管理和操作优化工具。拟议的研究将有助于配电系统规划者和运营商做出决策，确保配电系统的成本效益规划和正确运营。最终，它将有助于减少加拿大的温室气体排放，将能源生产组合从基于化石燃料转向基于可再生能源。它还可以有效地处理高峰需求，同时确保高可靠性和电力质量。此外，能源消耗的分布式管理和小区域微电网的优化运行将在节能、更有效地利用可用资源和提高能源系统的整体效率方面产生显著的经济效益。

Microgrid is a recently-coined term that describes a micro power distribution system composed of clusters of distributed generation (DG) sources, including wind and solar sources, that serve a group of distributed loads. The ability of the microgrid to facilitate DG sources to supply a highly localized area with reliable electricity has motivated a significant amount of research on how to exploit the strengths of the microgrid concept to transform conventional power systems into intelligent decentralized electric power distribution systems, called smartgrids. In particular, a significant question is the suitability of smartgrids to optimize the management and control of the distribution system, reducing its CO2 emissions, improving its efficiency and reliability, and ensuring its security. The successful transformation of an existing power distribution system into a smartgrid faces several technical and economic challenges related to its creation, operation, and management. These include the seamless integration of the renewable sources, and its cost-effectiveness, reliability, and long-term sustainability. ***This Discovery program aims to develop new algorithms necessary for optimizing the management, control, and operation of smartgrids in the presence of fluctuating renewable generation sources and system loads. In addition, this program will focus on developing new methods and techniques for pairing the strengths of artificial intelligence and graph theory with the inherent scalability and re-configurability of power grids for devising flexible and dynamically clustered smartgrids and the underlying management and operation optimization tools.***The proposed research will assist power distribution system planners and operators in making decisions that ensure the cost-effective planning and proper operation of electricity distribution systems. Ultimately, it will contribute to reducing greenhouse gas emission in Canada, shifting the energy-generation portfolio from one based on fossil fuels to one based on renewable energy sources. It will also enable the effective handling of peak demands, while ensuring high reliability and power quality. Moreover, the distributed management of energy consumption and the optimized operation of small-zoned microgrid will produce significant economic benefits in terms of energy savings, more efficient utilization of available resources, and improvement of the overall efficiency of energy systems.