Progressive IRP Models for Power Resources Including EPP
Joint Authors
Zhu, Yiping
Hu, Yuan
Zhang, Faliang
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-21
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
In the view of optimizing regional power supply and demand, the paper makes effective planning scheduling of supply and demand side resources including energy efficiency power plant (EPP), to achieve the target of benefit, cost, and environmental constraints.
In order to highlight the characteristics of different supply and demand resources in economic, environmental, and carbon constraints, three planning models with progressive constraints are constructed.
Results of three models by the same example show that the best solutions to different models are different.
The planning model including EPP has obvious advantages considering pollutant and carbon emission constraints, which confirms the advantages of low cost and emissions of EPP.
The construction of progressive IRP models for power resources considering EPP has a certain reference value for guiding the planning and layout of EPP within other power resources and achieving cost and environmental objectives.
American Psychological Association (APA)
Zhu, Yiping& Hu, Yuan& Zhang, Faliang. 2017. Progressive IRP Models for Power Resources Including EPP. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1189857
Modern Language Association (MLA)
Zhu, Yiping…[et al.]. Progressive IRP Models for Power Resources Including EPP. Mathematical Problems in Engineering No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1189857
American Medical Association (AMA)
Zhu, Yiping& Hu, Yuan& Zhang, Faliang. Progressive IRP Models for Power Resources Including EPP. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1189857
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1189857