Multistage Mixed-Integer Robust Optimization for Power Grid Scheduling: An Efficient Reformulation Algorithm
Author:
Affiliation:
1. School of Electrical Engineering, Southeast University, Nanjing, China
2. Department of Automation, Shanghai Jiao Tong University, Shanghai, China
Funder
National Key Research and Development Program of China
Natural Science Foundation of Jiangsu Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Renewable Energy, Sustainability and the Environment
Link
http://xplorestaging.ieee.org/ielx7/5165391/9994274/09904886.pdf?arnumber=9904886
Reference47 articles.
1. A Risk-Averse Adaptively Stochastic Optimization Method for Multi-Energy Ship Operation Under Diverse Uncertainties
2. On the Use of a Convex Model for Bulk Storage in MIP-Based Power System Operation and Planning
3. Multistage Multiresolution Robust Unit Commitment With Nondeterministic Flexible Ramp Considering Load and Wind Variabilities
4. Resilience-Oriented Multistage Scheduling for Power Grids Considering Nonanticipativity Under Tropical Cyclones
5. A Fast LP-Based Approach for Robust Dynamic Economic Dispatch Problem: A Feasible Region Projection Method
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