Stochastic programming approach for TEP optimization considering RES integration in electricity market
| العنوان: | Stochastic programming approach for TEP optimization considering RES integration in electricity market |
|---|---|
| المؤلفون: | George Cristian Lazaroiu, Philippe Duquenne, Dario Zaninelli, Mariacristina Roscia, Catalina Alexandra Sima, Virgil Dumbrava |
| المساهمون: | Centre National de la Recherche Scientifique - CNRS (FRANCE), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), University Politechnica of Bucharest (ROMANIA), Politecnico di Milano (ITALY), Università degli Studi di Bergamo - UniBG (ITALY), Laboratoire de Génie Chimique - LGC (Toulouse, France), Institut National Polytechnique de Toulouse - INPT (FRANCE), University Politechnica Bucuresti, Università degli studi di Bergamo (UniBG), Politecnico di Milano [Milan] (POLIMI), Laboratoire de génie chimique [ancien site de Basso-Cambo] (LGC), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées |
| المصدر: | 2017 International Conference on ENERGY and ENVIRONMENT (CIEM) 2017 International Conference on ENERGY and ENVIRONMENT (CIEM), Oct 2017, Bucharest, Romania. pp. 485-489 |
| بيانات النشر: | IEEE, 2017. |
| سنة النشر: | 2017 |
| مصطلحات موضوعية: | [SPI.OTHER]Engineering Sciences [physics]/Other, Energie électrique, Mathematical optimization, Computer science, Total cost, 020209 energy, Reliability (computer networking), Stochastic programming, Energy Engineering and Power Technology, Power system reliability, 02 engineering and technology, 7. Clean energy, Renewable energy sources, Nonlinear programming, Electric power system, Mathematical model, Electricity market, Autre, 0202 electrical engineering, electronic engineering, information engineering, Decision support optimization, Renewable Energy, Sustainability and the Environment, [SPI.NRJ]Engineering Sciences [physics]/Electric power, Production, Reliability, Electric power transmission, Settore ING-IND/33 - Sistemi Elettrici per L'Energia, Power transmission lines, Programming, Transmission expansion planning, Stochastic optimization, Renewable Energy, Sustainability and the Environment, Investment |
| الوصف: | International audience; 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. |
| وصف الملف: | application/pdf |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2751fdf2f6671d55567a941cb69b120Test https://doi.org/10.1109/ciem.2017.8120869Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....b2751fdf2f6671d55567a941cb69b120 |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |