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Operation of a Multi-Agent System for Load management in smart power distribution system

Authors: Masoud Aliakbar Golkar; Amirhossein Sajadi; Majid Biabani;

Operation of a Multi-Agent System for Load management in smart power distribution system

Abstract

In this paper a novel approach to accommodate distributed generation resources in the power distribution system is discussed to reduce the peak power demand. Demand dispatch is the capability of aggregate and precisely control individual loads on command. The novel implemented approach in this work is the demand dispatch to demand response. The dispatch algorithms in regularity base are used for controllable loads which can be turned on and off with unnoticeable interruption where the load is forecasted and it is dispatched accordingly by using distributed generation resources and controllable loads, thereby it helps to reduce peak demand. Multi-Agent System (MAS) is consisting a group of agents which are capable of perceived environment that they are located and act on it by communicating with each other to achieve the goals. Therefore a MAs has been adopted to manage the demand dispatch simulation. Load has forecasted in MATLAB and MAS has programmed in ZEUS utilize the forecasted load data to dispatch the load in such a way so as to reduce the peak demand. The agents are located at demand aggregator level, zone level and DG level. They communicate to dispatch the load properly based on resources and load availability.

Related Organizations
Keywords

demand dispatch algorithm, energy resources, load forecasting, power system management, distributed power generation, smart power distribution system, mathematics computing, load management, ZEUS programming, demand aggregator level, multi-agent systems, load data forecasting, power engineering computing, load availability, zone level, power generation dispatch, DG level, MAS operation, peak power demand reduction, dispatch simulation, smart power grids, distribution networks, demand response, distributed generation resource, controllable load, multiagent system operation, MATLAB programming

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    17
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Top 10%
Top 10%