Multiple Objective Compromised Method for Power Management in Virtual Power Plants

Jinxia Gong, Da Xie, Chuanwen Jiang and Yanchi Zhang
Additional contact information
Jinxia Gong: School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, No. 800, Dongchuan Road, Minhang, Shanghai 200240, China
Da Xie: School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, No. 800, Dongchuan Road, Minhang, Shanghai 200240, China
Chuanwen Jiang: School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, No. 800, Dongchuan Road, Minhang, Shanghai 200240, China
Yanchi Zhang: Department of Automation, East China University of Science and Technology, Shanghai 200237, China

Energies, 2011, vol. 4, issue 4, 1-17

Abstract: In practical optimization, a priority requirement for different objectives of multiple objective optimization problems should be considered. In this paper, the distributed power management of a Virtual Power Plant (VPP) with priority requirement is optimized by the compromised method. The operation optimization model of VPP is formulated as a fuzzy multiple objective optimization problem considering the satisfaction of customers and suppliers, the system stability, the power quality, and costs with operation limitations. The multiple objective optimization algorithm with the compromise of the satisfactory degree and the priority of objectives is studied based on the principle of two-step interactive satisfactory optimization. This method is also applied in a test system.

Keywords: multiple objective optimization; VPP; satisfaction decision making; priority (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: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
https://www.mdpi.com/1996-1073/4/4/700/pdf (application/pdf)
https://www.mdpi.com/1996-1073/4/4/700/ (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:4:y:2011:i:4:p:700-716:d:12144

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 ().