.png){kind=icon}
Return
Robust hydrothermal unit commitment: A mixed-integer linear framework
.png){kind=icon}
PRE
AI
DOI：10.1016/j.energy.2018.09.199.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The paper presents the info-gap theory for the sake of developing a robust framework for short-term hydrothermal scheduling to tackle severe load uncertainty. Deploying this method, the system operator is provided with a robust decision-making strategy to guarantee the minimum cost under load variation condition while practical and technical limitations such as dynamic ramp rate are taken into consideration. For this purpose, the proposed Unit Commitment (UC) problem considering all above advantages would be modeled in a linear framework, which is in turn taken into account as another outstanding feature of this study as it is compatible to apply to real-world systems. In order to investigate the model efficiency, the modified version of the IEEE 118-bus test system having 54 thermal beside 8 hydro plants is chosen as the case study. Eventually, the results demonstrate how demand fluctuations and errors in the predicted load can be tolerated by allocating additional robust cost. (C) 2018 Elsevier Ltd. All rights reserved.
Keywords:
Hydrothermal scheduling
Information gap decision theory
Mixed integer linear programming
Unit commitment
Uncertain load demand
Journal
IF:
9.4
Papers:
4.3W
Citations:
24.2W
Organization
Cited Papers
ShareSaveShareSaveShort-term hydrothermal generation scheduling using differential real-coded quantum-inspired evolutionary algorithm.png)
ENERGY
ENERGYIF9.4
PREAI
ShareSaveManaging the risk of uncertain wind power generation in flexible power systems using information gap decision theoryENERGY
ENERGYIF9.4
PREAI
ShareSaveMulti-objective programming of pumped-hydro-thermal scheduling problem using normal boundary intersection and VIKORENERGY
ENERGYIF9.4
PREAI
ShareSaveA hybrid particle swarm optimization with small population size to solve the optimal short-term hydro-thermal unit commitment problemENERGY
ENERGYIF9.4
PREAI
ShareSaveDesign of a risk-averse decision making tool for smart distribution network operators under severe uncertainties: An IGDT-inspired augment ε-constraint based multi-objective approachENERGY
ENERGYIF9.4
PREAI
ShareSaveHydropower unit commitment with nonlinearity decoupled from mixed integer nonlinear problemENERGY
ENERGYIF9.4
PREAI
ShareSave
View more