Supporting power balance in Microgrids with Uncertain Production using Electric Vehicles and Indirect Control-Reference-Cited by-同舟云学术

Supporting power balance in Microgrids with Uncertain Production using Electric Vehicles and Indirect Control

Published:2019 Issue:4 Volume:52 Page:371-376
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Banis Frederik,Guericke Daniela,Madsen Henrik,Poulsen Niels Kjølstad

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference14 articles.

1. Banis, F., Guericke, D., Madsen, H., and Poulsen, N.K. (2018). Utilizing flexibility in Microgrids using Model Predictive Control. In MedPower 2018.

2. Stochastic Programming Fundamentals. In Decision Making Under Uncertainty in Electricity Markets, International Series in Operations Research & Management Science;Conejo,2010

3. Flocha, C.L., Bellettib, F., Saxenac, S., Bayena, R.M., and Mouraa, S. (2016). Distributed Optimal Charging of Electric Vehicles for Demand Response and Load Shaping. In 54th IEEE Conference on Decision and Control, CDC 2015, 7403254. doi: https://doi.org/10.1109/CDC.2015.7403254.

4. Halvgaard, R., Poulsen, N.K., Madsen, H., and Jørgensen, J.B. (2013). Thermal storage power balancing with model predictive control. In Control Conference (ECC), 2013 European, 2567–2572. IEEE.

5. MOD-DR: Microgrid optimal dispatch with demand response;Jin;Applied Energy,2017

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