2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) 2018
DOI: 10.1109/isgt-asia.2018.8467809
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Day-Ahead Optimal Dispatching of Wind-Solar-Hydro-Thermal Combined Power System with Pumped-Storage Hydropower Integration

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Cited by 5 publications
(3 citation statements)
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“…Tan et al presented a coordinated operational model of WSH system that considers operational costs and risks [30]. Wang et al presented a wind-solar-hydro-thermal coordinated scheduling model considering the integration pumped-storage hydropower [31]. Zhang et al analyzed the ability of a mixed system including hydropower, solar power, and wind power to match the source and load within an ultra-short-term period [32].…”
Section: Introductionmentioning
confidence: 99%
“…Tan et al presented a coordinated operational model of WSH system that considers operational costs and risks [30]. Wang et al presented a wind-solar-hydro-thermal coordinated scheduling model considering the integration pumped-storage hydropower [31]. Zhang et al analyzed the ability of a mixed system including hydropower, solar power, and wind power to match the source and load within an ultra-short-term period [32].…”
Section: Introductionmentioning
confidence: 99%
“…The operation of insular power systems has been widely studied in the last few years [5][6][7][8][9] and for the case of small isolated power systems with high RESs share, the pumpedhydro energy storage (PHES) is extensively considered as the most suitable storage technology [10]. The generation scheduling in isolated power systems with high penetration of RESs and PHES has been an active research topic since many years [11] and is still a challenging problem [12][13][14].…”
Section: Introductionmentioning
confidence: 99%
“…Shukla and Singh [47] acquire a lower operating cost by integrating PHES in WTHS. In the literature [48], PHES is designed with conventional HPP as a cascaded hydroelectric system to coordinate the short-term scheduling in wind-solar-hydro-thermal power systems. These models use stochastic optimization to tackle the uncertainty in wind power.…”
Section: Introductionmentioning
confidence: 99%