2016
DOI: 10.1541/ieejpes.136.505
|View full text |Cite
|
Sign up to set email alerts
|

Development of UC-EDC Model in Consideration of Short-cycle Fluctuation Characteristics of Aggregated Power Output of Photovoltaic Power Generation Systems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
6
0

Year Published

2017
2017
2020
2020

Publication Types

Select...
3
2

Relationship

1
4

Authors

Journals

citations
Cited by 9 publications
(7 citation statements)
references
References 4 publications
1
6
0
Order By: Relevance
“…The UC model was developed in our preceding study and designed to optimize the hourly unit commitment plan for a generator via mixed integer programming in an attempt at minimization of the daily operation cost based on the power demand and PVS output forecast value for the next day . It should be noted that in the UC model of Ref.…”
Section: Uc–edc–lfc Simulation Modelmentioning
confidence: 99%
See 4 more Smart Citations
“…The UC model was developed in our preceding study and designed to optimize the hourly unit commitment plan for a generator via mixed integer programming in an attempt at minimization of the daily operation cost based on the power demand and PVS output forecast value for the next day . It should be noted that in the UC model of Ref.…”
Section: Uc–edc–lfc Simulation Modelmentioning
confidence: 99%
“…It should be noted that in the UC model of Ref. , the fuel cost for a thermal power generator was approximated by a linear function concerning the output, while in this paper in pursuit of a more realistic computation, it was approximated by a quadratic function based on the fuel cost used in the power system standard model for the extended system developed by IEEJ. Moreover, when power oversupply is expected at the time of executing UC, the PVS output suppression factor was added to the constraint function concerning the supply–demand balance for controlling the scheduled PVS output.…”
Section: Uc–edc–lfc Simulation Modelmentioning
confidence: 99%
See 3 more Smart Citations