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Stochastic programming approach for TEP optimization considering RES integration in electricity market

Sima, Catalina alexandra and Lazaroiu, Cristian and Dumbrava, Virgil and Roscia, Mariacristina and Zaninelli, Dario and Duquenne, Philippe Stochastic programming approach for TEP optimization considering RES integration in electricity market. (2017) In: 2017 International Conference on ENERGY and ENVIRONMENT (CIEM), 19 October 2017 - 20 October 2017 (Bucharest, Romania).

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Official URL: http://dx.doi.org/10.1109/CIEM.2017.8120869

Abstract

Transmission expansion planning (TEP) is helping the system operator to decide the optimal solution for building new lines and in the same time to increase the reliability and safety of the existing power system. The proposed problem is a mixed-integer nonlinear programming problem (MINLP) and it is solved using stochastic programming. Stochastic programming is applied when uncertain environment occurs, in this case the uncertain environment refers to the production of renewable energy sources (RES) and its dependence on the short-term weather conditions. Stochastic Optimization weights all scenarios considered in this paper in order to obtain an expected total cost. The expected total cost includes the cost associated with the construction of new transmission lines, generation cost and load shedding cost.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to IEEE. The original document is available on IEEE Xplore : https://ieeexplore.ieee.org/document/8120869/ © 2017 . Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
HAL Id:hal-01783575
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Other partners > University Politechnica of Bucharest (ROMANIA)
Other partners > Politecnico di Milano (ITALY)
Other partners > Università degli Studi di Bergamo - UniBG (ITALY)
Laboratory name:
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Deposited By: Loetitia MOYA
Deposited On:02 May 2018 12:59

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