Reference
J. Lago, G. Suryanarayana, E. Sogancioglu, and B. De Schutter, "Optimal control
strategies for seasonal thermal energy storage systems with market
interaction,"
IEEE Transactions on Control Systems
Technology, vol. 29, no. 5, pp. 1891-1906, Sept. 2021.
Abstract
Seasonal thermal energy storage systems (STESSs) can shift the delivery of
renewable energy sources and mitigate their uncertainty problems. However, to
maximize the operational profit of STESSs and to ensure their long-term
profitability, control strategies that allow them to trade on wholesale
electricity markets are required. While control strategies for STESSs have been
proposed before, none of them addressed electricity market interaction and
trading. In particular, due to the seasonal nature of STESSs, accounting for
the long-term uncertainty in electricity prices has been very challenging. In
this paper, we develop the first control algorithms to control STESSs when
interacting with different wholesale electricity markets. As different control
solutions have different merits, we propose solutions based on model predictive
control and solutions based on reinforcement learning. We show that this is
critical since different markets require different control strategies: MPC
strategies are better for day-ahead markets due to the flexibility of MPC
whereas RL strategies are better for real-time markets because of fast
computation times and better risk modeling. To study the proposed algorithms in
a real-life setup, we consider a real STESS interacting with the day-ahead and
imbalance markets in The Netherlands and Belgium. Based on the obtained results
we show that: (1) the developed controllers successfully maximize the profits
of STESSs due to market trading; (2) the developed control strategies make
STESSs important players in the energy transition: by optimally controlling
STESSs and reacting to imbalances, STESSs help to reduce grid imbalances.
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BibTeX
@article{LagSur:20-003,
author = {Lago, Jesus and Suryanarayana, Gowri and Sogancioglu, Ecem and De
Schutter, Bart},
title = {Optimal Control Strategies for Seasonal Thermal Energy Storage
Systems with Market Interaction},
journal = {IEEE Transactions on Control Systems Technology},
volume = {29},
number = {5},
pages = {1891--1906},
month = sep,
year = {2021}
}