2019
DOI: 10.1109/tsg.2017.2778021
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A Unified Model for the Optimal Management of Electrical and Thermal Equipment of a Prosumer in a DR Environment

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Cited by 32 publications
(12 citation statements)
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“…The Unified model exploits an MILP problem, solved with the Branch and Bound algorithm, which takes into account the energy needs of all the prosumers and optimizes energy sharing at the community level. On the other hand, with the Separated model, proposed in [38,39], each prosumer is modeled separately, while with the Cascade model, discussed in [40], the overall solution is obtained by iterating a number of MILP problems, solved in a sequential fashion.…”
Section: Related Workmentioning
confidence: 99%
“…The Unified model exploits an MILP problem, solved with the Branch and Bound algorithm, which takes into account the energy needs of all the prosumers and optimizes energy sharing at the community level. On the other hand, with the Separated model, proposed in [38,39], each prosumer is modeled separately, while with the Cascade model, discussed in [40], the overall solution is obtained by iterating a number of MILP problems, solved in a sequential fashion.…”
Section: Related Workmentioning
confidence: 99%
“…Also, countries such as the United States and the United Kingdom with a large number of publications have not appeared in the top ten high-publishing institutions. It can be seen that the current [31,32], Aalto University focuses on district heating [33,34], the Polytechnic University of Bucharest noticed the power distribution system [35,36], the University of Calabria focuses on home automation system [37,38], Aalborg University researches blockchain [39], the Polytechnic University of Turin considers energy management [40,41], and the University of Lisbon focuses more on self-consumption [42,43]. In Table 5, keyword frequency ranking shows the hotspots in the research field of prosumer from 2009 to 2020 at a certain level.…”
Section: Country/region and Organization Table 3 Lists The Top Ten Co...mentioning
confidence: 99%
“…The DRp is based on the solution of a prosumer problem [27], i.e., an energy cost-minimization problem, which determines the appliance scheduling and the use of ESSs in order to support the energy balance in the power system network and reduce the consumer energy cost. The motivation for consumers to participate in a DRp is to minimize the energy cost because the DRp allows energy users of all kinds to act as a VPP and lower their demand for electricity, which also contributes to increase the stability of the grid.…”
Section: -Second Phase: Demand Responsementioning
confidence: 99%