GOALI: Security-Constrained Optimal Coordination of Generation and Transmission Maintenance Outage Scheduling

GOALI：发电和输电维护停电调度的安全约束最优协调

• 批准号: 0725666
• 负责人: Zuyi Li
• 金额: $ 30万
• 依托单位: Illinois Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0725666&HistoricalAwards=false
• 关键词: GOALI; Security; Constrained; Optimal; Coordination

The objective of this research is to develop a tool for the security-constrained optimal coordination of generation and transmission maintenance outage scheduling. The proposed problem is a very large-scale, non-linear, non-convex, and mixed-integer optimization problem. The approach is to innovatively apply Lagrangian relaxation, Benders decomposition, and Dantzig-Wolfe decomposition techniques to decompose such a complex problem into tractable small-scale subproblems. The extreme complexity of this research makes it a high-risk project that no individual power market authority would normally fund, while the prospective security, economic, and social benefits of this research make it a perfect project that NSF should support. Intellectual Merit: This research will introduce methodologies for enhancing the security of aging power system infrastructure. The proposed methodologies consider comprehensive coordination schemes and realistic system operational condition simulations for modeling the outage management of integrated mid-term generation and transmission systems. The solution strategies will extend the boundaries of existing computational models and may benefit other industries facing similar outage management problems. Broader Impacts: Graduate students including female and minority students with diverse backgrounds will participate in this research. Such students will gain experience via exposure to the real world problems and mentorship they receive from industry participants in this project. A new course on power system outage management will be offered by the PI for educating students on applications of modern optimization techniques and risks associated with investments on and operations of generation and transmission assets. The proposed activity will promote awareness of complex power systems among electricity market participants.

本研究的目的是开发一个工具，用于安全约束下的发电和输电检修停运计划的最优协调。所提出的问题是一个非常大规模的，非线性，非凸，和混合整数优化问题。该方法是创新性地应用拉格朗日松弛，Benders分解，和Dantzig-Wolfe分解技术，分解这样一个复杂的问题到易于处理的小规模的子问题。这项研究的极端复杂性使其成为一个高风险的项目，没有一个单独的电力市场当局通常会资助，而这项研究的潜在安全性，经济和社会效益使其成为NSF应该支持的完美项目。智力优势：这项研究将介绍提高老化电力系统基础设施的安全性的方法。所提出的方法考虑全面的协调计划和现实的系统运行条件模拟建模综合中期发电和输电系统的停电管理。解决方案的策略将扩展现有的计算模型的边界，并可能有利于其他行业面临类似的停电管理问题。 更广泛的影响：研究生，包括不同背景的女性和少数民族学生将参加这项研究。这些学生将通过接触真实的世界问题和他们从该项目的行业参与者那里获得的指导来获得经验。PI将提供一门关于电力系统停电管理的新课程，教育学生现代优化技术的应用以及与发电和输电资产的投资和运营相关的风险。拟议的活动将提高电力市场参与者对复杂电力系统的认识。