Mid-term integrated generation and maintenance scheduling for wind-hydro-thermal systems

Ge, Xiaolin; Xia, Shu; Su, Xiangjing

doi:10.1002/etep.2528

Cited by 14 publications

(2 citation statements)

References 41 publications

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“…Different models of HEPs were built, such as constant water head [4] and variable water head [5]. In the constant model of the water head, the generation of HEPs was determined by using discharge through water turbines [6], and the volume of dams could be either neglected [7] or considered [8]. In the variable model of water head, HEPs were separate [9] or a cascaded system with upper and lower dams [10].…”

Section: B Literature Reviewmentioning

confidence: 99%

The Combination of Energy Storage and Renewable Energies to Reach a Maximum Profit for Power Systems

Kien,

Tuyet,

Phan

et al. 2023

IEEE Access

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This paper investigates the effectiveness of the water storage and electricity generation of a pumped-storage hydroelectric plant (PSP) for maximizing total electricity sale revenue of one day as it is integrated into a hybrid power system with the presence of wind power plants (WP) and solar photovoltaic power plants (SP). Four study cases with different rated powers of PSP, including 50, 75, 100 and 125 MW, are implemented to find the most suitable capacity, the optimal hours for water storage and the optimal generation for other hours of the considered PSP. Similarly, the four cases are also investigated for another hybrid power system with the same WP and SP, but PSP is replaced with another conventional hydroelectric plant (CHEP), which does not have a storage function. Five optimization algorithms, including Slime mould algorithm (SMA), Equilibrium optimizer (EO), Jellyfish Algorithm (JS), Coot optimization algorithm (COOT) and War Strategy optimization Algorithm (WSO), are implemented for two hybrid power systems. As a result, EO is the highest performance method with superiority over others in almost all cases. The second hybrid system with PSP can reach a greater revenue than the first hybrid system with CHEP by $31,638, which is about 11% of the total revenue of the first system. In addition, the second system only uses a PSP with a rated power of 75 MW, but the first system must use a higher rated power of 100 MW for CHEP. Clearly, PSP is very effective for hybrid power systems with the integration of renewable power plants in reaching maximum total revenue. However, the comparisons among study cases also indicate that the rated power of PSP should be carefully calculated, otherwise, PSP is no longer applicable.

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Section: B Literature Reviewmentioning

confidence: 99%

The Combination of Energy Storage and Renewable Energies to Reach a Maximum Profit for Power Systems

Kien,

Tuyet,

Phan

et al. 2023

IEEE Access

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show abstract

“…The collaborative operation of wind power and hydropower stations can promote the consumption of new energy while ensuring system reliability [7,[11][12][13]. There has been significant work on short-term scheduling strategies [14,15], mid-long-term scheduling strategies [16,17], and complementarity assessment [18,19] of hydro-wind hybrid power systems. Moreover, hydropower is a renewable energy with mature technology and reliability.…”

Section: Introductionmentioning

confidence: 99%

Unreliability tracing of power systems with reservoir hydropower based on a temporal recursive model

Bai,

Xie,

Shao

et al. 2024

IET Generation Trans & Dist

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Power system unreliability tracing model allocates the system's reliability index to individual components, identifying potential weaknesses. This study expands its scope by considering the impact of storage resources. Unreliable factors leading to load shedding are categorized into two groups: objective factors inherent to the component and insufficient storage resources. The latter requires a retrospective analysis of other components that caused unreliability previously. When allocating responsibility for load shedding at a certain time, it begins by allocating it among components based on differences between fixed expected output and actual supply. Expected output insufficiency is considered as the unreliable factor. This insufficiency due to insufficient storage resources is then decomposed into segments, each caused by excessive output in earlier instances of the same component. The expected output excess is attributed to the expected output insufficiency of other components in previous times, for which responsibility has been allocated to each component. Consequently, the expected output insufficiency at a particular time can be traced back based on a temporal recursive model, with the load shedding further allocated to components before that time. Case studies based on several systems demonstrate that the proposed model's allocation results are reasonable and more accurate than the traditional model.

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A non-cooperative multi-leader one-follower integrated generation maintenance scheduling problem under the risk of generation units’ disruption and variation in demands

Hassanpour,

Roghanian,

Bashiri

2023

Ann Oper Res

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Mid-term integrated generation and maintenance scheduling for wind-hydro-thermal systems

Cited by 14 publications

References 41 publications

The Combination of Energy Storage and Renewable Energies to Reach a Maximum Profit for Power Systems

The Combination of Energy Storage and Renewable Energies to Reach a Maximum Profit for Power Systems

Unreliability tracing of power systems with reservoir hydropower based on a temporal recursive model

A non-cooperative multi-leader one-follower integrated generation maintenance scheduling problem under the risk of generation units’ disruption and variation in demands

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