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2018
DOI: 10.1016/j.energy.2018.04.056
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Coordinated operations of multiple-reservoir cascaded hydropower plants with cooperation benefit allocation

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Cited by 44 publications
(15 citation statements)
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References 30 publications
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“…Theoretically, it can be calculated by the formulation of (7), where the loss of water head h loss indicates the energy loss in conversion due to viscous force and external resistances on water. Forebay water level depends on water storage, as formulated in (5), where z(•) is the specific function for the reservoir under concern. Tailwater level is variable based on hydraulic laws, which is relative to the speed of release.…”
Section: B the Forward Scheduling Modelmentioning
confidence: 99%
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“…Theoretically, it can be calculated by the formulation of (7), where the loss of water head h loss indicates the energy loss in conversion due to viscous force and external resistances on water. Forebay water level depends on water storage, as formulated in (5), where z(•) is the specific function for the reservoir under concern. Tailwater level is variable based on hydraulic laws, which is relative to the speed of release.…”
Section: B the Forward Scheduling Modelmentioning
confidence: 99%
“…However, in a competitive context, the operational information of other reservoirs is usually inaccessible since a river basin generally consists of multiple stakeholders and all the stakeholders are individually rational and self-interested [4]. Cooperative behavior is believed can promote systemic benefits maximization [5]- [7]. But these behaviors generally involve information sharing, interest transferring, and even breaking regulatory requirements so that the situation is rarely achieved in practice [8], [9].…”
Section: Introductionmentioning
confidence: 99%
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“…In terms of benefit allocation between different units, some studies have been conducted. Shen et al (Shen et al, 2018) allocated the appropriate benefit of multiple-reservoir cascaded hydropower plants by the game-theoretic Shapley method. Tan et al (Tan et al, 2013) used the Shapley method to study the benefit allocation of wind power and thermal power; the result showed that the method realized the equitable allocation among the units fully.…”
Section: Introductionmentioning
confidence: 99%
“…Many scholars have studied short-term scheduling and produced many innovative research results, such as peak-shaving scheduling [1]- [5], maximizing the total benefit [6]- [8], and minimizing the total fuel cost [9], [10]. However, due to the large number of HPs, useful forecasting information is limited, the forecasting accuracy is low, large and complex constraint sets are needed, and dimensionality issues can occur [11]- [13]; as a result, the current theoretical approach faces considerable challenges in terms of practicality, universality, and computational efficiency.…”
mentioning
confidence: 99%