2014
DOI: 10.1016/j.ijepes.2014.06.061
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A two-stage scheduling optimization model and solution algorithm for wind power and energy storage system considering uncertainty and demand response

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Cited by 76 publications
(42 citation statements)
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“…System load demand in a typical load day was selected according to [25], as Table 2 shows. According to [26], the load is divided into peak load (12:00-21:00) period, float load (0:00-3:00, 21:00-24:00) period, and valley load (3:00-12:00) period, and, respectively, the electricity prices are 0.77 Yuan/kW⋅h, 0.59 Yuan/kW⋅h, and 0.30 Yuan/kW⋅h. The grid connection prices of the CGT, WPP, and PV are 0.52 Yuan/kW⋅h, 0.61 Yuan/kW⋅h, and 1.0 Yuan/kW⋅h, respectively.…”
Section: Basic Datamentioning
confidence: 99%
“…System load demand in a typical load day was selected according to [25], as Table 2 shows. According to [26], the load is divided into peak load (12:00-21:00) period, float load (0:00-3:00, 21:00-24:00) period, and valley load (3:00-12:00) period, and, respectively, the electricity prices are 0.77 Yuan/kW⋅h, 0.59 Yuan/kW⋅h, and 0.30 Yuan/kW⋅h. The grid connection prices of the CGT, WPP, and PV are 0.52 Yuan/kW⋅h, 0.61 Yuan/kW⋅h, and 1.0 Yuan/kW⋅h, respectively.…”
Section: Basic Datamentioning
confidence: 99%
“…Many studies generally prefer to optimize the wind energy system Two-stage stochastic programming method is widely applied for wind energy systems [1]- [5] in order to minimize the cost or maximize the profit. Ref [2] also carried out a bilevel programming framework for similar purpose.…”
Section: Literature Reviewmentioning
confidence: 99%
“…However, some literatures demonstrate that, the main determinants of electricity demand in China are the proportion of income and secondary industry, and the impact of electricity price on power demand is not significant (Rong Fan, 2012) [4]. But the impact of new energy [5,6] and new energy products [7] on power demand is increasing. This paper will take Jilin Province as an example to analyze the influence factors of power demand under the background of energy conservation and emission reduction and economic new normal.…”
Section: Introductionmentioning
confidence: 99%