6 / 8
allied
academies
Page 37
Notes:
April 08-09, 2019 | Zurich, Switzerland
2
nd
International Conference on
Green Energy & Technology
Environmental Risk Assessment and Remediation | Volume 3
ISSN: 2529-8046
Modeling and optimal management of renewable energy resources using multi-
agent systems
Muhammad Waseem Khan
Shanghai Jiao Tong University, China
E
lectrical systems composed of numerous and
usually multifaceted components which are
difficult to operate and control by efficient ways
at the centralized level having problems such as
adaptability, mobility, and fault tolerance. Thus,
in recent evaluation, renewable energy resources
(RERs) have been considered as clean and cost-
effective sources for the generation of electrical
power at the distributed level. In this context, the
awareness of the microgrids (MGs), as sub level
technologiesof thecentral grid, boomsparticularly
because of the precise amenities that they can
deliver. Therefore, a novel multi-agent system
(MAS) based model and the optimal management
of a MG integrated with RERs at distributed level
is proposed in this paper. Power generation
at distributed level comprises of numerous
disseminated energy resources having critical and
non-critical loads. A controlled architecture of a
MG based on the MAS technique is employed
for the finest operations of the MG management
and power delivery and also offers intelligence to
the MG at distributed level. For validation of the
proposed model, the power generation within
the MG was evaluated by simulation under the
capabilities of RERs power production, critical
and non-critical load demands, and several grid
instabilities. The simulation results prove that the
proposed model for the MG management based
on MAS technique at distributed level offers
robustness and high-performance supervision
and control than centralized arrangements.
e
:
engr_waseem90@yahoo.comEnviron Risk Assess Remediat, Volume 3
DOI: 10.4066/2529-8046-C1-003