Use of Parallel Processing in Applications for Hydro Power Scheduling – Current Status and Future Challenges

Warland, Geir; Henden, Arild Lothe; Mo, Birger

doi:10.1016/j.egypro.2015.12.346

Cited by 7 publications

(2 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The startup cost has become a discrete function, due to the discretization of the time span into hourly periods (the black dots). The discrete start-up cost can be approximated by a stair-wise function as described in (27)- (28). The linearization mechanism for stair-wise start-up cost and step-wise shut-down costs, which depends only on the binary variables, corresponds to the on/off state of generating units, (27)- (30).…”

Section: Linearized Start-up and Shut-down Costsmentioning

confidence: 99%

“…It is carried by sharing process resources concurrently across multiple processors at different stages of execution [27]. Parallel processing was used in hydro power scheduling [28], and microgrid power management system [29]. In addition, multithreading was applied successfully in unit commitment [25] and variable wind generation scheduling [30].…”

Section: Multithreadingmentioning

confidence: 99%

See 1 more Smart Citation

MILP-Based Short-Term Thermal Unit Commitment and Hydrothermal Scheduling Including Cascaded Reservoirs and Fuel Constraints

Shaaban¹,

Zeynal²,

Nor³

2019

IJECE

View full text Add to dashboard Cite

<span>Reservoirs are often built in cascade on the same river system, introducing inexorable constraints. It is therefore strategically important to scheme out an efficient commitment of thermal generation units along with the scheduling of hydro generation units for better operational efficiency, considering practical system conditions. This paper develops a comprehensive, unit-wise hydraulic model with reservoir and river system constraints, as well as gas constraints, with head effects, to commit thermal generation units and schedule hydro ones in the short-term. A mixed integer linear programming (MILP) methodology, using the branch and bound & cut (BB&C) algorithm, is employed to solve the resultant problem. Due to the detailed modelling of individual hydro units and cascaded dependent reservoirs, the problem size is substantially swollen. Multithread computing is invoked to accelerate the solution process. Simulation results, conducted on various test systems, reiterate that the developed MILP-based hydrothermal scheduling approach outperforms other techniques in terms of cost efficiency.</span>

show abstract

Section: Linearized Start-up and Shut-down Costsmentioning

confidence: 99%