Economic MPC for Power Management in the SmartGrid

Hovgaard, Tobias Gybel; Edlund, Kristian; Jørgensen, John Bagterp

doi:10.1016/b978-0-444-54298-4.50146-x

Cited by 6 publications

(2 citation statements)

References 16 publications

(11 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similarly, a drop in voltage magnitude can be compensated by increasing reactive power. Publications on voltage and frequency control include (Weedy and Cory, 1998;Marwali et al, 2004;Blaabjerg et al, 2006;Kim et al, 2008;Venkat et al, 2008;Hovgaard et al, 2011). In Kim et al (2006), a power-control strategy of a grid-connected hybrid generation system with versatile power transfer was presented.…”

Section: Power Managementmentioning

confidence: 99%

Process systems opportunities in power generation, storage and distribution

Soroush

Chmielewski

2013

Computers & Chemical Engineering

View full text Add to dashboard Cite

Section: Power Managementmentioning

confidence: 99%

Process systems opportunities in power generation, storage and distribution

Soroush

Chmielewski

2013

Computers & Chemical Engineering

View full text Add to dashboard Cite

“…Typically, an upper layer provides the optimal set-point (from the economic point of view) to the MPC, which is responsible for stabilizing the system and reject any disturbances (from the dynamical point of view). Although recent, it has been applied, for example, to building temperature and smart grid management [13], [14]. To our best knowledge, the EMPC framework has never been applied to autonomous driving.…”

Section: Introductionmentioning

confidence: 99%

Experimental evaluation of economic model predictive control for an autonomous truck

Lima

Trincavelli

Nilsson

et al. 2016

2016 IEEE Intelligent Vehicles Symposium (IV)

View full text Add to dashboard Cite

Abstract-In this paper, we propose a controller for smooth autonomous path following. The controller is formulated as an economic model predictive controller. The economic cost introduced in the objective function leads to a smooth driving, since we minimize the first and second derivatives of the curvature function (i.e., we encourage linear curvature profiles). Since the curvature in clothoids varies linearly with the path arc-length, we use the smoothness and comfort characteristics of clothoid-driving to obtain a compact and intuitive controller formulation. We enforce convergence of the controller to the reference path with soft constraints that avoid deviations from the reference path. Finally, we present real life experiments where the controller is deployed on a Scania construction truck that show that the proposed controller outperforms a purepursuit controller. Moreover, we detail how the few tuning parameters can affect the obtained solution in practice.

show abstract

Control of electric power transmission networks with massive energy storage using economic MPC

Adeodu

Chmielewski

2013

2013 American Control Conference

View full text Add to dashboard Cite

Economic MPC for Power Management in the SmartGrid

Cited by 6 publications

References 16 publications

Process systems opportunities in power generation, storage and distribution

Process systems opportunities in power generation, storage and distribution

Experimental evaluation of economic model predictive control for an autonomous truck

Control of electric power transmission networks with massive energy storage using economic MPC

Contact Info

Product

Resources

About