Charge Scheduling of an Energy Storage System under Time-of-Use Pricing and a Demand Charge

A real-coded genetic algorithm is used to schedule the charging of an energy storage system (ESS), operated in tandem with renewable power by an electricity consumer who is subject to time-of-use pricing and a demand charge. Simulations based on load and generation profiles of typical residential cu...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:TheScientificWorld Jg. 2014; H. 2014; S. 1 - 9
Hauptverfasser: Yoon, Yourim, Kim, Yong-Hyuk
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Cairo, Egypt Hindawi Publishing Corporation 01.01.2014
John Wiley & Sons, Inc
Wiley
Schlagworte:
Algorithms
Alternative energy sources
Computer Simulation
Conservation of Energy Resources - economics
Costs and Cost Analysis - methods
Dynamic programming
Electric Power Supplies - economics
Electric utilities
Electricity
Energy policy
Energy storage
Fee Schedules
Genetic algorithms
Methods
Pricing policies
Renewable energy
Scheduling (Management)
Time Factors
ISSN:2356-6140, 1537-744X, 1537-744X
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:A real-coded genetic algorithm is used to schedule the charging of an energy storage system (ESS), operated in tandem with renewable power by an electricity consumer who is subject to time-of-use pricing and a demand charge. Simulations based on load and generation profiles of typical residential customers show that an ESS scheduled by our algorithmcan reduce electricity costs by approximately 17%, compared to a system without an ESS and by 8% compared to a scheduling algorithm based on net power.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
Academic Editor: Kuo-Ching Ying
ISSN:2356-6140
1537-744X
1537-744X
DOI:10.1155/2014/937329