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15 results on '"de Quevedo, Pilar Meneses"'

1. Case Study

Author

Contreras, Javier, primary, Asensio, Miguel, additional, de Quevedo, Pilar Meneses, additional, Muñoz-Delgado, Gregorio, additional, and Montoya-Bueno, Sergio, additional

Published
2016
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2. Introduction

Author

Contreras, Javier, primary, Asensio, Miguel, additional, de Quevedo, Pilar Meneses, additional, Muñoz-Delgado, Gregorio, additional, and Montoya-Bueno, Sergio, additional

Published
2016
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3. Energy Storage Systems Modeling

Author

Contreras, Javier, primary, Asensio, Miguel, additional, de Quevedo, Pilar Meneses, additional, Muñoz-Delgado, Gregorio, additional, and Montoya-Bueno, Sergio, additional

Published
2016
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4. Uncertainty Modeling

Author

Contreras, Javier, primary, Asensio, Miguel, additional, de Quevedo, Pilar Meneses, additional, Muñoz-Delgado, Gregorio, additional, and Montoya-Bueno, Sergio, additional

Published
2016
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5. Optimization Problem Formulation

Author

Contreras, Javier, primary, Asensio, Miguel, additional, de Quevedo, Pilar Meneses, additional, Muñoz-Delgado, Gregorio, additional, and Montoya-Bueno, Sergio, additional

Published
2016
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6. Demand Response Modeling

Author

Contreras, Javier, primary, Asensio, Miguel, additional, de Quevedo, Pilar Meneses, additional, Muñoz-Delgado, Gregorio, additional, and Montoya-Bueno, Sergio, additional

Published
2016
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7. Renewable Power Generation Models

Author

Contreras, Javier, primary, Asensio, Miguel, additional, de Quevedo, Pilar Meneses, additional, Muñoz-Delgado, Gregorio, additional, and Montoya-Bueno, Sergio, additional

Published
2016
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8. Summary and Conclusions

Author

Contreras, Javier, primary, Asensio, Miguel, additional, de Quevedo, Pilar Meneses, additional, Muñoz-Delgado, Gregorio, additional, and Montoya-Bueno, Sergio, additional

Published
2016
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15. Optimal Placement of Energy Storage and Wind Power under Uncertainty.

Author

de Quevedo, Pilar Meneses and Contreras, Javier

Subjects
*WIND power, *ENERGY storage, *ELECTRIC power distribution, *LINEAR programming, *ELECTRIC power systems
Abstract

Due to the rapid growth in the amount of wind energy connected to distribution grids, they are exposed to higher network constraints, which poses additional challenges to system operation. Based on regulation, the system operator has the right to curtail wind energy in order to avoid any violation of system constraints. Energy storage systems (ESS) are considered to be a viable solution to solve this problem. The aim of this paper is to provide the best locations of both ESS and wind power by optimizing distribution system costs taking into account network constraints and the uncertainty associated to the nature of wind, load and price. To do that, we use a mixed integer linear programming (MILP) approach consisting of loss reduction, voltage improvement and minimization of generation costs. An alternative current (AC) linear optimal power flow (OPF), which employs binary variables to define the location of the generation, is implemented. The proposed stochastic MILP approach has been applied to the IEEE 69-bus distribution network and the results show the performance of the model under different values of installed capacities of ESS and wind power. [ABSTRACT FROM AUTHOR]

Published
2016
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