EconPapers    
Economics at your fingertips  
 

Optimal Scheduling of Microgrid with Multiple Distributed Resources Using Interval Optimization

Chongxin Huang, Dong Yue, Song Deng and Jun Xie
Additional contact information
Chongxin Huang: Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Dong Yue: Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Song Deng: Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Jun Xie: College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210023, China

Energies, 2017, vol. 10, issue 3, 1-23

Abstract: In this paper, an optimal day-ahead scheduling problem is studied for a microgrid with multiple distributed resources. For the sake of coping with the prediction uncertainties of renewable energies and loads and taking advantage of the time-of-use price for buying/selling electricity, an interval-based optimization model for maximum pro?ts is developed. To reduce the computational complexity in solving the model, the possibility degree comparison between an interval and a real number is used to convert the interval constraints into the general ones; meanwhile, some slack variables and complementary conditions are introduced to eliminate the absolute-value operation. Unlike the stochastic optimization, the interval optimization only needs the upper-lower bounds of the uncertain variables instead of their probability distribution functions, which is bene?cial to the practical application. Furthermore, the possible pro?t interval and the expected optimal pro?t can be determined by solving the optimization model. Numerical simulations are performed on a microgrid system modi?ed from the benchmark low voltage network in the European Union project “Microgrid”, and the results demonstrate the effectiveness of the proposed method.

Keywords: optimal scheduling scheme; microgrid; interval optimization; distributed resources (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
https://www.mdpi.com/1996-1073/10/3/339/pdf (application/pdf)
https://www.mdpi.com/1996-1073/10/3/339/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:10:y:2017:i:3:p:339-:d:92648

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-24
Handle: RePEc:gam:jeners:v:10:y:2017:i:3:p:339-:d:92648