Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid

被引：39
作者：
Nair A.S. [1 ]
Hossen T. [1 ]
Campion M. [1 ]
Selvaraj D.F. [1 ]
Goveas N. [1 ]
Kaabouch N. [1 ]
Ranganathan P. [1 ]
机构：
[1] Department of Electrical Engineering, University of North Dakota, Grand Forks, ND
来源：
Technology and Economics of Smart Grids and Sustainable Energy | 2018年 / 3卷 / 01期
基金：
美国国家科学基金会;
关键词：
Economic dispatch; Multi-agent systems; Resource allocation and scheduling; Smart grid; Unit commitment;
D O I：
10.1007/s40866-018-0052-y
中图分类号：
学科分类号：
摘要：
With the increasing integration of Distributed Energy Resources (DER) in the power grid, a decentralized approach becomes essential for scheduling and allocation of resources in a smart grid. Economic Dispatch (ED) and Unit Commitment (UC) are the two major resource allocation problems that play critical role in the safe and stable operation of a grid system. The uncertainty associated with renewable energy sources have made the resource allocation problems even more challenging for grid operators. The future grid will have a higher generation mix of renewable energy sources and a large load of Electrical vehicles, with the possibility of bi-directional power flow. This complex smart grid system necessitates the development of a decentralized approach to resource allocation problem, which allows inter-node communication and decision making. Multi-agent systems (MAS) is a promising platform to decentralize the traditional centralized resource allocation aspects of smart grid. This paper presents a comprehensive literature review on the application of MAS to Economic Dispatch (ED) and Unit Commitment (UC) in smart grids. © 2018, The Author(s).
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