M
Miguel A. Ortega-Vazquez
Researcher at Electric Power Research Institute
Publications - 76
Citations - 3923
Miguel A. Ortega-Vazquez is an academic researcher from Electric Power Research Institute. The author has contributed to research in topics: Electric power system & AC power. The author has an hindex of 28, co-authored 70 publications receiving 3259 citations. Previous affiliations of Miguel A. Ortega-Vazquez include Virginia Tech & University of Washington.
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Estimating the Spinning Reserve Requirements in Systems With Significant Wind Power Generation Penetration
TL;DR: In this article, the authors proposed a technique to calculate the optimal amount of spinning reserve that the system operator should provide to respond not only to generation outages but also to errors in the forecasts for load and wind power production.
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Optimal scheduling of electric vehicle charging and vehicle-to-grid services at household level including battery degradation and price uncertainty
TL;DR: This study presents a scheduling algorithm for EVs under a real time pricing scheme with uncertainty that explicitly takes into account the cost of battery degradation not only when used to provide services to the system but also in terms of the EV utilisation for motion.
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Optimal Operation and Services Scheduling for an Electric Vehicle Battery Swapping Station
TL;DR: In this article, the authors proposed an optimization framework for the operating model of battery swapping stations, which considers the day-ahead scheduling process and uses inventory robust optimization and multi-band robust optimization to model electricity price uncertainty.
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Optimizing the Spinning Reserve Requirements Using a Cost/Benefit Analysis
TL;DR: In this paper, the authors describe an offline method for setting the spinning reserve requirements based on the cost of its provision and the benefit derived from its availability, which is similar to the one described in this paper.
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Electric Vehicle Aggregator/System Operator Coordination for Charging Scheduling and Services Procurement
TL;DR: This paper proposes the necessary adaptations to include the input of EV aggregation to electricity markets, which permits the scheduling of EV charging and services in coordination with the system operator thus enhancing the power system's efficiency and security while reducing its environmental impact.