Multi-objective dynamic economic emission dispatch based on electric vehicles and wind power integrated system using differential evolution algorithm

Electric vehicles (EVs) are currently the most popular green transportation. Wind power has received widespread attention as a kind of renewable energy source. Their rapid development has brought new challenges for the power grid. However, the technology of vehicle to grid (V2G) can realize the peak...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Renewable energy Jg. 154; S. 316 - 336
Hauptverfasser: Qiao, Baihao, Liu, Jing
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 01.07.2020
Schlagworte:
algorithms
Dynamic economic emission dispatch
Electric vehicles
Multi-objective optimization
wind farms
Wind power
Electric vehicles
Multi-objective optimization
Wind power
Dynamic economic emission dispatch
ISSN:0960-1481, 1879-0682
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Electric vehicles (EVs) are currently the most popular green transportation. Wind power has received widespread attention as a kind of renewable energy source. Their rapid development has brought new challenges for the power grid. However, the technology of vehicle to grid (V2G) can realize the peak shaving of the power grid, which is considered to be an effective method to promote the integration of EVs and wind power. Therefore, in this paper, a novel integrated framework of EVs and wind farms (WEV) is proposed to use the EVs charging and discharging to smooth the wind power penalty cost that caused by overestimated and underestimated of available wind power. While a new multi-objective dynamic economic emission dispatching model based on the WEV system (WE_DEED) is developed to consider both emission and total cost objectives. In order to solve the complex constrained WE_DEED problem, we propose a multi-objective differential evolution algorithm with the self-adaptive parameter operator and local search operator based on non-dominant sorting (SaMODE_LS). Moreover, an effective constraint handling method is applied to deal with the constraints in WE_DEED problems. Different test systems based on 10-unit are given to demonstrate the reasonability and efficiency of the proposed model and method. •A new framework for the integration system of EVs and wind farms is proposed.•A novel multi-objective DEED model based on WEV system is established.•The self-adaptive parameter and local search operators are proposed.•The SaMODE_LS with the constraint handling method is developed to solve WE_DEED.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0960-1481
1879-0682
DOI:10.1016/j.renene.2020.03.012