2021
DOI: 10.1049/stg2.12053
|View full text |Cite
|
Sign up to set email alerts
|

Online pricing for demand‐side management in a low‐voltage resistive micro‐grid via a Stackelberg game with incentive strategies

Abstract: It has been demonstrated that online pricing mechanisms are a viable solution for demand side management in power systems. This study deals with the analysis and design of a droop-controlled low-voltage resistive AC micro-grid network system. Such a system is subjected to a dynamic demand obtained from an online pricing mechanism, which is proposed as a novelty in the study of micro-grids. This mechanism is derived from a variation of the Stackelberg game, which includes the use of incentive strategies. First,… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
2
0
1

Year Published

2022
2022
2024
2024

Publication Types

Select...
3
1
1

Relationship

0
5

Authors

Journals

citations
Cited by 6 publications
(3 citation statements)
references
References 55 publications
0
2
0
1
Order By: Relevance
“…The EV owners can assess the trade-off between savings in the charging costs by advancing or postponing the charging action, against the inconvenience of adjusting their desired time slot (Zheng et al, 2019). The successful implementation DR approach on EV owners relies on two initiatives: the incentive dynamic pricing (DP) mechanism and the load shifting scheme (Zheng et al, 2021;Genis et al, 2022) as shown in Figure 1.…”
Section: Introductionmentioning
confidence: 99%
“…The EV owners can assess the trade-off between savings in the charging costs by advancing or postponing the charging action, against the inconvenience of adjusting their desired time slot (Zheng et al, 2019). The successful implementation DR approach on EV owners relies on two initiatives: the incentive dynamic pricing (DP) mechanism and the load shifting scheme (Zheng et al, 2021;Genis et al, 2022) as shown in Figure 1.…”
Section: Introductionmentioning
confidence: 99%
“…In fact, there are multiple engineering problems that have been addressed by means of game theory and population dynamics. For instance, coordination of robot networks [30], wind farm optimization [31], demand response in electrical grids [32], traffic assignment [33], charging of large populations of electric vehicles [34], control of epidemics [35], and so forth. It is important to point out that population dynamics based controllers have been applied to water allocation problems.…”
Section: Introductionmentioning
confidence: 99%
“…En [1], los autores demuestran las conexiones entre juegos, optimización y aprendizaje para el procesamiento de señales en red. Otros ejemplos similares se centran en la carga de vehículos eléctricos [9], la coordinación de redes de robots [10], problemas de control de pandemias [11], técnicas de aprendizaje por refuerzo [6], respuesta a la demanda [7], o manejo de recursos y regulación en sistemas de agua [12]. En todas estas aproximaciones, los autores atacan los problemas desde las perspectivas de juegos matriciales, continuos, diferenciales o dinámicos.…”
Section: Introductionunclassified