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Smart Grid
Designing Test Methods for IT-Enabled Energy Storage System to Evaluate Energy Dynamics
Young Gon Kim, Dong Hoon Kim and Eun-Kyu Lee
Page: 1487~1495, Vol. 13, No.6, 2017
10.3745/JIPS.01.0020
Keywords: Converged IT Service, Cyber-Physical System, Energy Dynamics, Energy Storage System, Microgrid, Test Method, Smart Grid
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Energy Consumption Scheduling in a Smart Grid Including Renewable Energy
Nadia Boumkheld, Mounir Ghogho and Mohammed El Koutbi
Page: 116~124, Vol. 11, No.1, 2015
10.3745/JIPS.03.0022
Keywords: Demand Response, Energy Management, Energy Scheduling, Optimization
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Designing Test Methods for IT-Enabled Energy Storage System to Evaluate Energy Dynamics
Young Gon Kim, Dong Hoon Kim and Eun-Kyu Lee
Page: 1487~1495, Vol. 13, No.6, 2017

Keywords: Converged IT Service, Cyber-Physical System, Energy Dynamics, Energy Storage System, Microgrid, Test Method, Smart Grid
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With increasing interests in renewables, more consumers are installing an energy storage system (ESS) in their backyards, and thus, the ESS will play a critical role in the emerging smart grid. Due to mechanical properties, however its operational dynamics must be well understood before connecting the ESS to the smart grid (and eventually to an IT system). To this end, we investigate charging and discharging processes in detail. This paper, then, proposes methods for four type tests (state of charge test, conversion efficiency test, response time test, and ramp rate test) that can assess the dynamics of the ESS. The proposed methods can capture accurate delay values of mechanical processes in the ESS, and it is expected for those values to help design real-time communication systems in the smart grid involving the ESS.
Energy Consumption Scheduling in a Smart Grid Including Renewable Energy
Nadia Boumkheld, Mounir Ghogho and Mohammed El Koutbi
Page: 116~124, Vol. 11, No.1, 2015

Keywords: Demand Response, Energy Management, Energy Scheduling, Optimization
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Smart grids propose new solutions for electricity consumers as a means to help them use energy in an efficient way. In this paper, we consider the demand-side management issue that exists for a group of consumers (houses) that are equipped with renewable energy (wind turbines) and storage units (battery), and we try to find the optimal scheduling for their home appliances, in order to reduce their electricity bills. Our simulation results prove the effectiveness of our approach, as they show a significant reduction in electricity costs when using renewable energy and battery storage.