Paper Info
Title
Hierarchical Agent-Based Integrated Modelling Approach for Microgrids with Adoption of EVs and HRES.
Abstract
The large adoption of electric vehicles (EVs), hybrid renewable energy systems (HRESs), and the increasing of the loads shall bring significant challenges to the microgrid. The methodology to model microgrid with high EVs and HRESs penetrations is the key to EVs adoption assessment and optimized HRESs deployment. However, considering the complex interactions of the microgrid containing massive EVs and HRESs, any previous single modelling approaches are insufficient. Therefore in this paper, the methodology named Hierarchical Agent-based Integrated Modelling Approach (HAIMA) is proposed. With the effective integration of the agent-basedmodelling with other advancedmodelling approaches, the proposed approach theoretically contributes to a new microgrid model hierarchically constituted by microgrid management layer, component layer, and event layer. Then the HAIMA further links the key parameters and interconnects them to achieve the interactions of the whole model. Furthermore, HAIMA practically contributes to a comprehensive microgrid operation system, through which the assessment of the proposed model and the impact of the EVs adoption are achieved. Simulations show that the proposed HAIMA methodology will be beneficial for the microgrid study and EV's operation assessment and shall be further utilized for the energy management, electricity consumption prediction, the EV scheduling control, and HRES deployment optimization.
Year
DOI
Venue
2014
10.1155/2014/808549
JOURNAL OF APPLIED MATHEMATICS
Field
DocType
Volume
Energy management,Mathematical optimization,Software deployment,Electricity,Scheduling (computing),Renewable energy system,Reliability engineering,Mathematics,Microgrid
Journal
2014
ISSN
Citations 
PageRank 
1110-757X
1
0.41
References 
Authors
4
4
Name
Order
Citations
PageRank
Peng Han141.84
jinkuan wang29433.64
Yan Li311.09
Yinghua Han475.28