Multi-objective programming of pumped-hydro-thermal scheduling problem using normal boundary intersection and VIKOR

The issue of environmental emissions has forced the power systems to use cleaner energy sources such as renewable and hydroelectric technologies. However, during recent decades due to the limitations on the available water in many regions, the optimal water reservoir usage has been highlighted. In t...

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Vydáno v:Energy (Oxford) Ročník 143; s. 854 - 866
Hlavní autoři: Simab, Mohsen, Javadi, Mohammad Sadegh, Nezhad, Ali Esmaeel
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford Elsevier Ltd 15.01.2018
Elsevier BV
Témata:
Boundary conditions
case studies
Clean energy
Convexity
Decision making
Electric power generation
emissions
Energy consumption
Energy sources
Hydro-thermal generation scheduling
Integer programming
Mathematical programming
Multiple objective analysis
Nonlinear programming
Normal boundary intersection
Optimization
power generation
Pumped storage
Pumped-storage units
Reservoirs
Scheduling
Scheduling algorithms
Studies
system optimization
Thermal power
VIKOR
water reservoirs
Hydro-thermal generation scheduling
VIKOR
Pumped-storage units
Normal boundary intersection
ISSN:0360-5442, 1873-6785
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Shrnutí:The issue of environmental emissions has forced the power systems to use cleaner energy sources such as renewable and hydroelectric technologies. However, during recent decades due to the limitations on the available water in many regions, the optimal water reservoir usage has been highlighted. In this regard, this paper proposes a multi-objective model for short-term hydrothermal scheduling problem in the presence of the pumped-storage technology. It is noted that the framework well models the cascaded configuration of hydro reservoirs. Besides, in order to more accurately model the mentioned problem, a Mixed-Integer Non-Linear Programming (MINLP) optimization framework is presented. In this respect, the valve-loading effects occurred in thermal power generation technologies have been taken into account which turns the existing convex optimization problem into a non-convex one. In order to solve the mentioned problem, the Normal Boundary Intersection (NBI) method has been used while the VIKOR decision maker is employed to choose the most compromise solution amongst the Pareto optimal solutions obtained by NBI method. Finally, the efficiency of the proposed model has been verified through implementing four case studies and comparing the obtained results with those obtained by different methods. •Proposing a framework for hydrothermal scheduling including pumped-storage units.•Presenting an accurate MINLP model for the SHTS problem with pumped-storage unit.•Applying NBI method to solve the proposed problem in an effective way.•Using a reputable decision making tool to select the most compromise solution.•Modeling the load uncertainty using scenario-based optimization.
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ISSN:0360-5442
1873-6785
DOI:10.1016/j.energy.2017.09.144