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Frequency regulation with heat pumps using robust MPC with affine policies
(2020)IFAC-PapersOnLine ~ 21th IFAC World Congress. ProceedingsThe increase in the renewable energy sources connected to the electricity grid has resulted in an increased need for frequency regulation. On the demand side, frequency regulation services can be provided by electrified heating/cooling systems exploiting the energy stored in thermal mass of buildings. To provide such services a first principles model of the building is needed, which is often difficult to obtain in practice. This issue can ...Conference Paper -
Scalability through decentralization: A robust control approach for the energy management of a building community
(2017)IFAC-PapersOnLine ~ 20th IFAC World Congress. ProceedingsRecent studies in the literature have shown that cooperative energy management of Abstract: Recent studies in the literature have shown that cooperative energy management of an aggregation of buildings may lead to substantial energy savings. These approaches typically assume the existence of a central operator that is capable of formulating and solving, within a reasonable amount of time, a centralized optimization problem. However, this ...Conference Paper -
Discrete-Time Linear-Quadratic Regulation via Optimal Transport
(2021)2021 60th IEEE Conference on Decision and Control (CDC)In this paper, we consider a discrete-time stochastic control problem with uncertain initial and target states. We first discuss the connection between optimal transport and stochastic control problems of this form. Next, we formulate a linear-quadratic regulator problem where the initial and terminal states are distributed according to specified probability densities. A closed-form solution for the optimal transport map in the case of ...Conference Paper -
A stochastic optimization approach to cooperative building energy management via an energy hub
(2015)2015 IEEE 54th Annual Conference on Decision and Control (CDC)Building energy management is an active field or research since the potential in energy savings can be substantial. Nevertheless, the opportunities for large saving of individual buildings can be limited by the flexibility of the installed climate control devices and the individual construction characteristics. The energy hub concept allows one to manage a collection of buildings in a cooperative manner, by providing opportunities for ...Conference Paper -
A distributed framework for linear adaptive MPC
(2021)2021 60th IEEE Conference on Decision and Control (CDC)Adaptive model predictive control (MPC) robustly ensures safety while reducing uncertainty during operation. In this paper, a distributed version is proposed to deal with network systems featuring multiple agents and limited communication. To solve the problem in a distributed manner, structure is imposed on the control design ingredients without sacrificing performance. Decentralized and distributed adaptation schemes that allow for a ...Conference Paper -
Empirical validation of a data-driven heating demand simulation with error correction methods
(2020)Proceedings of Building Simulation 2019: 16th Conference of IBPSAAdvanced control concepts for building energy systems, such as Model Predictive Control, often require models that forecast the energy demand of a building. Such models are commonly based on first principles, however the cost and effort required to develop such models may be prohibitive for real-life applications. As an alternative, we introduce and validate a data-driven simulation approach based on Artificial Neural Networks to forecast ...Conference Paper -
Regret Analysis of Online Gradient Descent-based Iterative Learning Control with Model Mismatch
(2022)2022 IEEE 61st Conference on Decision and Control (CDC)In Iterative Learning Control (ILC), a sequence of feedforward control actions is generated at each iteration on the basis of partial model knowledge and past measurements with the goal of steering the system toward a desired reference trajectory. This is framed here as an online learning task, where the decision-maker takes sequential decisions by solving a sequence of optimization problems having only partial knowledge of the cost ...Conference Paper -
Nonlinear Control of Quadcopters via Approximate Dynamic Programming
(2019)Proceedings of the 18th European Control Conference (ECC 2019)While Approximate Dynamic Programming has successfully been used in many applications involving discrete states and inputs such as playing the games of Tetris or chess, it has not been used in many continuous state and input space applications. In this paper, we combine Approximate Dynamic Programming techniques and apply them to the continuous, non-linear and high dimensional dynamics of a quadcopter vehicle. We use a polynomial approximation ...Conference Paper -
Cascade Control: Data-Driven Tuning Approach Based on Bayesian Optimization
(2020)IFAC-PapersOnLine ~ 21th IFAC World Congress. ProceedingsCascaded controller tuning is a multi-step iterative procedure that needs to be performed routinely upon maintenance and modification of mechanical systems. An automated data-driven method for cascaded controller tuning based on Bayesian optimization is proposed. The method is tested on a linear axis drive, modeled using a combination of first principles model and system identification. A custom cost function based on performance indicators ...Conference Paper -
Price arbitrage using variable-efficiency energy storage
(2019)Journal of Physics: Conference SeriesNecessary conditions for conducting arbitrage on electricity spot market prices are presented for large-scale, generic energy storage devices, as a function of device power, conversion efficiency, and per-period operating costs. A mixed integer linear program (MILP) is formulated that uses piecewise-affine approximations of potentially nonlinear energy conversion efficiency to maximize arbitrage over a fixed period. By initially removing ...Conference Paper