TY - JOUR
T1 - Distributed control of DC grids
T2 - Integrating prosumers’ motives
AU - Cucuzzella, Michele
AU - Bouman, Thijs
AU - Kosaraju, Krishna Chaitanya
AU - Schuitema, Geertje
AU - Lemmen, Nieke
AU - Johnson-Zawadzki, Stephanie Johnson Zawadzki
AU - Fischione, Carlo
AU - Steg, Linda
AU - Scherpen, Jacquelien M.A.
PY - 2022/7
Y1 - 2022/7
N2 - In this paper, a novel distributed control strategy
addressing a (feasible) psycho-social-physical welfare problem in
islanded Direct Current (DC) smart grids is proposed. Firstly,
we formulate a (convex) optimization problem that allows prosumers
to share current with each other, taking into account
the technical and physical aspects and constraints of the grid
(e.g., stability, safety), as well as psycho-social factors (i.e.,
prosumers’ personal values). Secondly, we design a controller
whose (unforced) dynamics represent the continuous time primaldual
dynamics of the considered optimization problem. Thirdly,
a passive interconnection between the physical grid and the
controller is presented. Global asymptotic convergence of the
closed-loop system to the desired steady-state is proved and
simulations based on collected data on psycho-social aspects
illustrate and confirm the theoretical results.
AB - In this paper, a novel distributed control strategy
addressing a (feasible) psycho-social-physical welfare problem in
islanded Direct Current (DC) smart grids is proposed. Firstly,
we formulate a (convex) optimization problem that allows prosumers
to share current with each other, taking into account
the technical and physical aspects and constraints of the grid
(e.g., stability, safety), as well as psycho-social factors (i.e.,
prosumers’ personal values). Secondly, we design a controller
whose (unforced) dynamics represent the continuous time primaldual
dynamics of the considered optimization problem. Thirdly,
a passive interconnection between the physical grid and the
controller is presented. Global asymptotic convergence of the
closed-loop system to the desired steady-state is proved and
simulations based on collected data on psycho-social aspects
illustrate and confirm the theoretical results.
KW - distributed control
KW - DC power systems
KW - psycho-social factors
KW - values
KW - environmental psychology
U2 - 10.1109/TPWRS.2021.3109024
DO - 10.1109/TPWRS.2021.3109024
M3 - Article
SN - 0885-8950
VL - 37
SP - 3299
EP - 3310
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
IS - 4
ER -