Data-driven Distributed Robust Optimization-based Coordinated Scheduling Strategy for Multi-energy Systems
Author:
Affiliation:
1. State Grid Sichuan Electric, Power Company,Chengdu,China
2. College of Electrical Engineering, Sichuan University,Chengdu,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10140170/10140192/10140552.pdf?arnumber=10140552
Reference16 articles.
1. A Data-Driven Stochastic Reactive Power Optimization Considering Uncertainties in Active Distribution Networks and Decomposition Method
2. Data-Driven Stochastic Unit Commitment for Integrating Wind Generation
3. Hybrid power systems Frequency regulation using TID based robust controller design and differential evolution (DE) algorithm
4. Wind Power Prediction of Kernel Extreme Learning Machine Based on Differential Evolution Algorithm and Cross Validation Algorithm
5. A data-driven distributionally robust optimization model for multi-energy coupled system considering the temporal-spatial correlation and distribution uncertainty of renewable energy sources
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