Switching Dynamics Approach for Distributed Global Optimisation

分布式全局优化的切换动态方法

• 批准号: DP200101197
• 负责人: Prof Xinghuo Yu
• 金额: $ 29.49万
• 依托单位: RMIT University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2020
• 资助国家: 澳大利亚
• 起止时间: 2020-05-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP200101197
• 关键词: Switching; Dynamics; Approach; Distributed; Global

This project aims to create a breakthrough switching dynamics approach and new technology to speed up finding optimal solutions. It will develop a distributed switching dynamics based optimisation scheme for global optimisation problems in industrial big-data environments where timely decision making is required. It will result in a practical technology for industry optimisation problems such as economic energy dispatch in smart grids and optimal charging and discharging tasks in a large network of electric vehicles, helping Australian power industry improve efficiency and security, as well as training the next generation scientists and engineers for Australia in this emerging field.

该项目旨在创造一种突破性的开关动力学方法和新技术，以加快寻找最佳解决方案。它将开发一种基于分布式交换动力学的优化方案，用于解决需要及时决策的工业大数据环境中的全局优化问题。它将为智能电网中的经济能源调度和大型电动汽车网络中的最佳充放电任务等行业优化问题提供实用技术，帮助澳大利亚电力行业提高效率和安全性，并为澳大利亚培训这一新兴领域的下一代科学家和工程师。