2017
DOI: 10.1016/j.rser.2016.09.100
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Building smart grid to power the next century in Taiwan

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Cited by 15 publications
(7 citation statements)
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“…Most stochastic optimization in the literature does not provide a UC decision, but rather just a prediction of the possible operational cost, giving different possible UCs that may be used for different levels of uncertainty or different scenarios. This can be seen in how the other studies wrote their objective equation, where the SU costs depend on a certain probability, as compared to Equation (2), in this paper.…”
Section: Discussionmentioning
confidence: 95%
See 1 more Smart Citation
“…Most stochastic optimization in the literature does not provide a UC decision, but rather just a prediction of the possible operational cost, giving different possible UCs that may be used for different levels of uncertainty or different scenarios. This can be seen in how the other studies wrote their objective equation, where the SU costs depend on a certain probability, as compared to Equation (2), in this paper.…”
Section: Discussionmentioning
confidence: 95%
“…With this need for the expansion of RE, the grid should be prepared for a higher penetration of these sources. In the study of Lee et al [2], the Taiwan government plans to build a smart grid and increase the RE percentage in three power system dimensions-smart energy and deployment, smart energy distribution, and smart energy transmission-all to prepare the grid for the large penetration of RE [3].…”
Section: Introductionmentioning
confidence: 99%
“…SGs aim to deliver and monitor electricity consumption using multidirectional technologies that allocate and measure power flows dynamically to ensure efficiency, savings, and reliability [17]. Due to global warming and the high cost of traditional electricity production, it is necessary to improve energy production, transmission, and distribution management by building SGs with integrated systems [18,19]. SGs have the potential to support a broad range of advanced energy technologies on both the supply-side and demand-side of energy management [20][21][22].…”
Section: Smart Gridmentioning
confidence: 99%
“…Low GHG emissions on the supply and demand side Strong reduction of grid shock Reduction of energy cost to help the economy of the home and office Reduction of fossil, coal and nuclear energy contribution Some projects related to V2G have been accomplished, and all mentioned parameters are considered in projects; for example, Taiwan, the U.S. (Florida), The Netherlands and China [78][79][80][81]. The priority of the source to supply the charging station is local energy production.…”
Section: Charging Systemmentioning
confidence: 99%