2021
DOI: 10.1016/j.renene.2021.02.165
|View full text |Cite
|
Sign up to set email alerts
|

Multi-objective optimal scheduling for CCHP microgrids considering peak-load reduction by augmented ε-constraint method

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
15
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
7
3

Relationship

0
10

Authors

Journals

citations
Cited by 97 publications
(24 citation statements)
references
References 29 publications
0
15
0
Order By: Relevance
“…is study offers a multiobjective optimum scheduling model for CCHP microgrids integrated with renewable energy, energy storage system, and incentivebased demand response in order to accomplish economic optimization and peak-load reduction of the CCHP microgrids model. Finally, a sensitivity analysis is performed, and the findings show that the prices of electricity, natural gas, and PV efficiency have various degrees of influence on model performance [14].…”
Section: Introductionmentioning
confidence: 99%
“…is study offers a multiobjective optimum scheduling model for CCHP microgrids integrated with renewable energy, energy storage system, and incentivebased demand response in order to accomplish economic optimization and peak-load reduction of the CCHP microgrids model. Finally, a sensitivity analysis is performed, and the findings show that the prices of electricity, natural gas, and PV efficiency have various degrees of influence on model performance [14].…”
Section: Introductionmentioning
confidence: 99%
“…In [127], an augmented ε-constraint method is implemented to solve the multi-objective optimization problem in order to achieve economic optimization and peak-load reduction of the combined cooling heating and power (CCHP) MGs model. In [128], an optimal energy management technique using the εconstraint method for grid-tied and stand-alone batterybased MGs is studied. The ε-constraint method is applied in further researches [129][130][131][132][133] as an optimization technique.…”
Section: C313 ε-Constraintmentioning
confidence: 99%
“…Especially, models with constant COP were used in Ref. [42][43][44][45] and achieved good results; it was proved that this model can be studied and the accuracy meets the engineering requirements. And COP is a model that changed with partial load rate (according to Ref.…”
Section: Parameter Settingsmentioning
confidence: 99%