Design and control of smart local energy systems considering multi-phase optimal power flow

考虑多相最优潮流的智能局域能源系统设计与控制

• 批准号: 2741523
• 金额: --
• 依托单位: University of Surrey
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2741523
• 关键词: Design; control; smart; local; energy

Distributed energy system optimisation is complex, especially when considering the intermittency of renewable energy and demand, combined with the large-scale non-convex optimal power flow problem. To respond to these challenges, we propose to use new theoretical advances in optimisation under uncertainty, control theory, and distributed optimisation in combination with machine learning techniques, to decompose the large-scale problem into a tractable problem that may be solved for real-time optimisation and control considering demand response to build a next generation energy system management tool.

分布式能源系统的优化是复杂的，特别是当考虑到可再生能源和需求的不确定性，结合大规模的非凸最优潮流问题。为了应对这些挑战，我们建议使用不确定性下优化，控制理论和分布式优化的新理论进展，结合机器学习技术，将大规模问题分解为一个易于处理的问题，可以解决实时优化和控制考虑需求响应，以构建下一代能源系统管理工具。