2014
DOI: 10.1016/j.epsr.2014.07.012
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Methodology to simulate the impact of a large deployment of a residential energy management system in the electricity grid

Abstract: This work proposes a methodology to evaluate the energy and power resources that can be made available through the deployment and use of a residential energy management system, as the Energy Box (EB) proposed by Livengood & Larson (2009). The impact on the electricity distribution system of such technology will result of changes in the electricity usage by end-use customers in response to stimuli like real-time changes in the electricity price, corresponding to the widely known demand response (DR). However, d… Show more

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Cited by 10 publications
(7 citation statements)
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References 31 publications
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“…For example, a washing machine cycle includes several phases. At the end of each phase, the machine can stop and resume its cycle a few minutes or hours later [19]. Similarly, a clothes dryer usually operates after a washing machines cycle is over.…”
Section: Bottom-up Approachesmentioning
confidence: 99%
“…For example, a washing machine cycle includes several phases. At the end of each phase, the machine can stop and resume its cycle a few minutes or hours later [19]. Similarly, a clothes dryer usually operates after a washing machines cycle is over.…”
Section: Bottom-up Approachesmentioning
confidence: 99%
“…The development of research work regarding the simulation of the impact of a large deployment of a residential energy management system in the electricity grid (Miguel et al, 2014) and the choice of the best location of distributed storage devices, considering associated impacts, both of economic and technical nature and possible management schemes of storage units (Gonç alves et al, 2015), led to the need of generating representative daily diagrams of demand, renewable generation (wind) and electricity wholesale market prices, in order to generate reliable scenarios of analysis, aiming also the determination of a measure of representativeness of each diagram regarding the consumption of a year. To achieve that goal, different clustering techniques were applied to the historical data sets of hourly consumption, wind generation and gross market prices of a complete year.…”
Section: Clustering Load Price and Renewable Generation Profilesmentioning
confidence: 99%
“…The development of research work (Miguel, Neves, & Martins, 2014;Gonç alves, Neves, & Martins, 2015) related with the two options above, led to the need of obtaining representative daily diagrams of demand, renewable generation (wind) and electricity gross market prices, in order to generate reliable scenarios of analysis, aiming also to obtain a measure of the representativeness of each diagram regarding the context of a whole year. To achieve that goal, different clustering techniques were applied to the historical data sets of hourly consumption, wind generation and gross market prices of a complete year.…”
Section: Introductionmentioning
confidence: 99%
“…compensation and transformer tap options, the reliability and quality of power supply can be improved and the cost of generation is reduced while the load demands be met in a safe and stable manner. Compared with the inland power system and its energy management and control system, which is mature through many years' development [4,5], the offshore power system has unique system features and control requirements:…”
Section: Introductionmentioning
confidence: 99%