Intelligent Microgrids-based Solutions for Optimizing Power Distribution Systems

基于智能微电网的优化配电系统解决方案

• 批准号: RGPIN-2017-05023
• 负责人: ElShatshat, Ramadan
• 金额: $ 1.75万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=679805
• 关键词: Intelligent; Microgrids; based; Solutions; Optimizing

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.

微电网是一个新近创造的术语，描述了由分布式发电（DG）资源集群组成的微型配电系统，包括风能和太阳能资源，为一组分布式负载服务。微电网促进DG源向高度局部区域提供可靠电力的能力激发了大量关于如何利用微电网概念的优势将传统电力系统转变为智能分散电力分配系统（称为智能电网）的研究。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，减少其二氧化碳排放，提高其效率和可靠性，并确保其安全性。将现有配电系统成功转变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整合，以及其成本效益、可靠性和长期可持续性。***该发现项目旨在开发在可再生能源和系统负荷波动的情况下优化智能电网管理、控制和运行所需的新算法。此外，该项目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固有的可扩展性和可重构性相结合，以设计灵活和动态集群的智能电网以及底层管理和运行优化工具。***建议的研究将协助配电系统的规划者和运营商制定决策，以确保配电系统的成本效益规划和正确运行。最终，它将有助于减少加拿大的温室气体排放，将能源生产组合从以化石燃料为基础转向以可再生能源为基础。它还将能够有效地处理峰值需求，同时确保高可靠性和电能质量。此外，通过对能耗的分布式管理和小分区微电网的优化运行，将在节约能源、提高可用资源利用率、提高能源系统整体效率等方面产生显著的经济效益。