TAKABA Kiyotsugu
Department / Course College of Science and Engineering Department of Electrical and Electronic Engineering
Title / Position Professor
Language English
Publication Date 2021/02/22
Type Research paper (scientific journal)
Peer Review Yes
Title Stochastic distributed model predictive control of microgrid with uncertain PV power prediction
Contribution Type Joint Work
Journal SICE Journal on Control, Measurement, and System Integration
Journal Type Another Country
Publisher Taylor and Francis publishing
Volume, Issue, Page 14(1),39-50
Total page number
Authorship Last author
Author and coauthor Takumi Namba, Shinya Funabiki, Kiyotsugu Takaba
Details This paper is concerned with a stochastic distributed Model Predictive Control (MPC) technique for power management of a photovoltaic (PV) generators-installed microgrid. The photovoltaic power supply has large uncertainty because it depends on weather conditions. To keep stable power supply to the microgrid, both accurate predictions of PV power supplies and efficient energy management based on the prediction are essential. We propose a distributed MPC method for microgrid management by combining the alternating direction method of multipliers-based distributed optimization and the randomized algorithm approach under the situation that a stochastic prediction model for the PV power prediction is available. The proposed method enables us to efficient energy management in a distributed way as well as the probabilistic guarantee of the line and battery capacity constraints. We demonstrate the effectiveness of the proposed method by a numerical simulation.
DOI 10.1080/18824889.2020.1863614