Scenario-Based Stochastic Optimization for Energy and Flexibility Dispatch of a Microgrid-Reference-Cited by-同舟云学术

Scenario-Based Stochastic Optimization for Energy and Flexibility Dispatch of a Microgrid

Published:2022-09 Issue:5 Volume:13 Page:3328-3341
ISSN:1949-3053
Container-title:IEEE Transactions on Smart Grid
language:
Short-container-title:IEEE Trans. Smart Grid

Author:

Antoniadou-Plytaria Kyriaki¹^ORCID,Steen David¹^ORCID,Tuan Le Anh¹,Carlson Ola¹,Mohandes Baraa²^ORCID,Ghazvini Mohammad Ali Fotouhi¹^ORCID

Affiliation:

1. Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden

2. Sustainable Energy Systems (SES), the Intelligence Clean Energy Systems (ICES), and the Environmental Research and Innovation (ERIN), Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg

Funder

European Union’s Horizon 2020 Research and Innovation Programme

FlexiGrid Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/5165411/9865089/09775193.pdf?arnumber=9775193

Reference40 articles.

1. Reinforcement learning for control of flexibility providers in a residential microgrid

2. Optimal Real-Time Operation Strategy for Microgrid: An ADP-Based Stochastic Nonlinear Optimization Approach

3. On-Line Building Energy Optimization Using Deep Reinforcement Learning

4. On the Road Between Robust Optimization and the Scenario Approach for Chance Constrained Optimization Problems

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