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

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.
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  • HAL Id : hal-01783575, version 1
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Catalina Alexandra Sima, Cristian Lazaroiu, Virgil Dumbrava, Mariacristina Roscia, Dario Zaninelli, et al.. Stochastic programming approach for TEP optimization considering RES integration in electricity market. 2017 International Conference on ENERGY and ENVIRONMENT (CIEM), Oct 2017, Bucharest, Romania. pp. 485-489. ⟨hal-01783575⟩

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