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

本研究的目的是开发一种安全约束下发电与输电检修停机调度的最优协调工具。所提出的问题是一个非常大规模的、非线性的、非凸的、混合整数优化问题。该方法创新性地应用拉格朗日松弛、Benders分解和dantzigg - wolfe分解技术，将复杂问题分解为可处理的小尺度子问题。该研究的极端复杂性使其成为一个高风险项目，通常没有任何一个电力市场权威机构会资助，而该研究的潜在安全、经济和社会效益使其成为NSF应该支持的完美项目。知识价值：本研究将介绍提高老化电力系统基础设施安全性的方法。所提出的方法考虑综合协调方案和实际系统运行状态模拟，以模拟中期发电和输电综合系统的停电管理。解决方案策略将扩展现有计算模型的边界，并可能使面临类似中断管理问题的其他行业受益。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与这项研究。这些学生将通过接触现实世界的问题和从这个项目的行业参与者那里获得指导来获得经验。学院将开设一门关于电力系统停电管理的新课程，向学生传授现代优化技术的应用以及与发电和输电资产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。

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.