遇见数据集

Modified IEEE 30-Bus Test Case (For Min-Max Load Shedding Applications)

收藏
DataCite Commons2023-11-14 更新2025-04-16 收录
官方服务:

资源简介:

Min-Max formulation is a common fairness mechanic utilized in communication system. It works by minimizing the worst case scenario amongst all the nodes in a system, For transmission and energy storage planning applications, we can utilize this fairness mechanic to bolster equity amongst the nodes in our system. For the project this is being utilized for, min-max formulation is used to minimize the worstcase load shedding across each bus in our system. The worst case in this situation being the highest load shedding cost, based on the value of lost load (VoLL) assigned to each bus. These VoLL values are assigned based on the vulnerability index selected for this project. By utilizing this fairness mechanic, we can promote equity across the system, and demonstrate that the min-max formulation of load shedding improves the total cost in the transmission problem. Transmission and energy expansion problems are a form of optimization in which we try to minimize the total cost of both investment of new lines and/or energy storage units, and the operations cost associated with these new lines/energy storage units. 

提供机构:
IEEE DataPort
创建时间:
2023-11-14
搜集汇总
数据集介绍
Modified IEEE 30-Bus Test Case (For Min-Max Load Shedding Applications) 数据集图片
背景与挑战
背景概述
这是一个修改后的IEEE 30-Bus测试案例,专门用于最小-最大负荷削减应用。数据集通过最小-最大公平性机制优化输电和储能规划,旨在减少负荷削减成本并提高系统节点间的公平性。数据包括电池约束和系统修改(如额外线路、发电和负荷条件),以支持相关研究。
以上内容由遇见数据集搜集并总结生成
二维码
社区交流群
二维码
科研交流群
商业服务