Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/243898 
Erscheinungsjahr: 
2020
Quellenangabe: 
[Journal:] Energy Reports [ISSN:] 2352-4847 [Volume:] 6 [Issue:] 2 [Publisher:] Elsevier [Place:] Amsterdam [Year:] 2020 [Pages:] 330-336
Verlag: 
Elsevier, Amsterdam
Zusammenfassung: 
Operation schedule for microgrids has an important role to manage the electric power supply and demand efficiently. This paper presents a problem formulation and its solution method to obtain a coordinated operation schedule of controllable components in the microgrids. In the problem formulation, uncertainty originated from variable renewable energy sources is introduced. By utilizing characteristics of the formulated problem, dimension of its solution space is reduced, and thus a combined solution method of binary particle swarm optimization and quadratic programming is applicable in the proposed solution method. Validity of the authors' proposal is verified through discussions on numerical results.
Schlagwörter: 
Binary particle swarm optimization (BPSO)
Microgrids
Quadratic programming (QP)
Supply-demand management
Uncertainty
Persistent Identifier der Erstveröffentlichung: 
Creative-Commons-Lizenz: 
cc-by-nc-nd Logo
Dokumentart: 
Article
Erscheint in der Sammlung:

Datei(en):
Datei
Größe
466.9 kB





Publikationen in EconStor sind urheberrechtlich geschützt.