2020
DOI: 10.1109/tsg.2020.2968394
|View full text |Cite
|
Sign up to set email alerts
|

Hierarchically-Coordinated Voltage/VAR Control of Distribution Networks Using PV Inverters

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
50
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
8
1

Relationship

2
7

Authors

Journals

citations
Cited by 129 publications
(50 citation statements)
references
References 29 publications
0
50
0
Order By: Relevance
“…However, the large initial scenario set will considerably increase the computational cost of the scenario reduction procedure, thus decreasing the efficiency of stochastic optimisation planning. To address this issue, a recent work [17] developed a high-efficiency scenario generation (SG) method to generate a small number of representative scenarios to accurately model real-time uncertain variations from PV power generation and loads. However, it has not been used for modelling the EV charging uncertainties.…”
Section: Introductionmentioning
confidence: 99%
“…However, the large initial scenario set will considerably increase the computational cost of the scenario reduction procedure, thus decreasing the efficiency of stochastic optimisation planning. To address this issue, a recent work [17] developed a high-efficiency scenario generation (SG) method to generate a small number of representative scenarios to accurately model real-time uncertain variations from PV power generation and loads. However, it has not been used for modelling the EV charging uncertainties.…”
Section: Introductionmentioning
confidence: 99%
“…Decentralised control provides several advantages like high efficiency, network losses reduction, local power grid support and the voltage profile enhancement [12, 15]. The decentralised strategies combine the advantages of centralised and distributed methods through zonal control and inter‐zonal coordination in the portioned DNs [1618].…”
Section: Introductionmentioning
confidence: 99%
“…To deal with the uncertainty issue, stochastic programming which models the uncertainties as scenarios is applied in [9] to minimise the electricity usage bills by scheduling deferrable appliances and BESSs. Zhang and Xu [13] applied the scenario‐based stochastic optimisation with a probabilistic modelling method to address real‐time uncertainty realisation for a voltage/VAR control problem. Additionally, in [14], the robust counterpart is applied to guarantee a robust solution for the smart home EMS optimisation problem under uncertainties.…”
Section: Introductionmentioning
confidence: 99%