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Agents for Smart Power Grids

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Document pages: 13 pages

Abstract: Thefuture of electricity systems will compose of small-scale generation anddistribution where end-users will be active participants with localized energymanagement systems that are able to interact on a free energy market. Softwareagents will most likely control power assets and interact together to decidethe best and safest configuration of the power grid system. This paper presentsa design of agents that can be deployed in real-time with capabilities thatinclude optimization of resources, intensive computation, and appropriatedecision-making. Jordan 51-bus system has been used for simulation with a totalgeneration capacity of 4050 MW of which 230 MW represents renewable energy. Theeconomic analyses demonstrated the use of smart grid technologies with 2016generation—load profiles for nominal liquified gas (NLG)prices and ±20 sensitivityanalysis. The results have shown variations in the range of 1 in the price ofMWh with smart grid technologies. These variations are mainly driven by thefact that agents shift power generation to renewable power plants to producemaximum power at peak hours. As a result, there is a positive economic impactin both NLG ± 20 sensitivity analysis, due to the fact thatagents coordinate to better displace expensive thermal generation withrenewable generation. It is evident that renewable resources compensate forpower at peak times and provide economic benefits and savings.

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