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Phase transition of random plaquette models
Tiling with Electrons: fractionalization and emergent symmetry
Pyroptosis & Innate Immunity: Mechanisms & Therapeutics Potentials
【数学之美-杰出学者讲坛】2024年第6期 || Some recent results on conformally in...
报告题目:
Use of Energy Storage for Reliability Improvement of Renewable Generation
 报告人:
Joydeep Mitra
He is currently Professor of electrical engineering with Michigan 
State University, East Lansing, MI, USA, the Director of the 
Energy Reliability and Security Laboratory, and a Senior 
Faculty Associate with the Institute of Public Utilities.
报告时间:
2019-11-23 09:00
报告地点:
清华大学西主楼2区203会议室
主办单位:
电机系
  简介:

Increasing penetration of renewable resources in the grid pose several challenges to reliable operation. Utilities have begun deploying energy storage technologies as a means of mitigating some of these challenges. Although the presence of energy storage ameliorates the reliability challenges posed by intermittent sources, a quantitative assessment of the exact amount of storage required to meet a reliability target or guarantee in the presence of intermittent sources is not trivial. This presentation examines some of the challenges posed by renewable generation and means of quantifying their impacts on grid reliability, and discusses approaches to mitigate them using energy storage. Applications to three types of systems – standalone, island-capable, and interconnected – are presented. The presentation systematically develops a mathematical method for determining the amount of storage required to meet a reliability target at a specific load point, and extends it to a more complex island-capable microgrid system with solar generation, and a grid-connected system with wind generation. It discusses reliability metrics and targets, and a method for quantifying the notion of "firming" up an intermittent resource. Effects of resource availability and network constraints are considered. The presentation concludes with a discussion of another characteristic of renewable resources – low inertia – and how it impacts system reliability, and of ongoing research toward developing solutions for mitigating these impacts. 


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