A Two-Stage Stochastic Dynamic Economic Dispatch Model Considering Wind Uncertainty

This paper proposes a two-stage stochastic dynamic economic dispatch model aiming at better managing system variability and uncertainty influenced by wind generation. Stochastic decomposition algorithm is proposed to solve the model in order to facilitate real-time application. The proposed method i...

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Bibliographic Details
Published in:IEEE transactions on sustainable energy Vol. 7; no. 2; pp. 819 - 829
Main Authors: Liu, Yang, Nair, Nirmal-Kumar C.
Format: Journal Article
Language:English
Published: Piscataway IEEE 01.04.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Approximation
Computational modeling
Decomposition
Dynamic economic dispatch
Dynamical systems
Dynamics
Economics
Generators
Load modeling
Mathematical model
Mathematical models
reserve procurement
Reserves
sample average approximation
stochastic decomposition
stochastic linear programming
Stochastic processes
Stochasticity
Uncertainty
Wind
reserve procurement
stochastic linear programming
stochastic decomposition
sample average approximation
Dynamic economic dispatch
ISSN:1949-3029, 1949-3037
Online Access:Get full text
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Summary:This paper proposes a two-stage stochastic dynamic economic dispatch model aiming at better managing system variability and uncertainty influenced by wind generation. Stochastic decomposition algorithm is proposed to solve the model in order to facilitate real-time application. The proposed method is tested on PJM-5 and RTS-24 systems and the results verify that the model inherits advantages from conventional dynamic economic dispatch, which is able to make out of merit order dispatch instructions for future benefits. Furthermore, the proposed model can correct false generator pre-ramp instructions due to forecast error and evaluate potential nodal wise reserve requirement therefore improving reserve deliverability. For computational efficiency assessment, stochastic decomposition is compared with sample average approximation. A modified IEEE-118 bus case study is shown.
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ISSN:1949-3029
1949-3037
DOI:10.1109/TSTE.2015.2498614