Search Results - "Picallo, Miguel"
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1
Identification and Mitigation of Subsidence and Collapse Hazards in Karstic Areas: A Case Study in Alcalá de Ebro (Spain)
Published in Applied sciences (01-05-2023)“…Sinkholes are a severe problem in urban areas located in karstic regions, especially where evaporitic rocks such as gypsum exist. Identification and proposal…”
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2
Comparison of Bounds for Optimal PMU Placement for State Estimation in Distribution Grids
Published in IEEE transactions on power systems (01-11-2019)“…The lack of measurements in distribution grids poses a severe challenge for their monitoring: Since there may not be enough sensors to achieve numerical…”
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3
Adaptive real-time grid operation via Online Feedback Optimization with sensitivity estimation
Published in Electric power systems research (01-11-2022)“…In this paper we propose an approach based on an Online Feedback Optimization (OFO) controller with grid input–output sensitivity estimation for real-time grid…”
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4
Sensitivity Conditioning: Beyond Singular Perturbation for Control Design on Multiple Time Scales
Published in IEEE transactions on automatic control (01-04-2023)“…A classical approach to design controllers for interconnected systems, is to assume that the different subsystems operate at different time scales, then design…”
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5
Closing the loop: Dynamic state estimation and feedback optimization of power grids
Published in Electric power systems research (01-12-2020)“…•Online feedback optimization allows to solve the AC Optimal Power Flow on real-time.•Combining with a dynamic state estimation, unmeasured states can be…”
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6
Cross-layer design for real-time grid operation: Estimation, optimization and power flow
Published in Electric power systems research (01-11-2022)“…In this paper, we propose a combined Online Feedback Optimization (OFO) and dynamic estimation approach for a real-time power grid operation under time-varying…”
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7
Sieving out Unnecessary Constraints in Scenario Optimization with an Application to Power Systems
Published 23-07-2019“…Many optimization problems incorporate uncertainty affecting their parameters and thus their objective functions and constraints. As an example, in…”
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8
Real-time Projected Gradient-based Nonlinear Model Predictive Control with an Application to Anesthesia Control
Published in 2022 IEEE 61st Conference on Decision and Control (CDC) (06-12-2022)“…Medical drug infusion problems pose a combination of challenges such as nonlinearities from physiological models, model uncertainty due to inter- and…”
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Conference Proceeding -
9
Real-time Projected Gradient-based Nonlinear Model Predictive Control with an Application to Anesthesia Control
Published 14-11-2022“…Medical drug infusion problems pose a combination of challenges such as nonlinearities from physiological models, model uncertainty due to inter- and…”
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Journal Article -
10
Sieving out Unnecessary Constraints in Scenario Optimization with an Application to Power Systems
Published in 2019 IEEE 58th Conference on Decision and Control (CDC) (01-12-2019)“…Many optimization problems incorporate uncertainty affecting their parameters and thus their objective functions and constraints. As an example, in…”
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Conference Proceeding -
11
Sensitivity-conditioning: Beyond Singular Perturbation for Control Design on Multiple Time Scales
Published 12-01-2021“…A classical approach to design controllers for interconnected systems is to assume that the different subsystems operate at different time scales, then design…”
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Journal Article -
12
Adaptive Real-Time Grid Operation via Online Feedback Optimization with Sensitivity Estimation
Published 03-10-2021“…In this paper we propose an approach based on an Online Feedback Optimization (OFO) controller with grid input-output sensitivity estimation for real-time grid…”
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Journal Article -
13
Cross-layer Design for Real-Time Grid Operation: Estimation, Optimization and Power Flow
Published 28-09-2021“…In this paper, we propose a combined Online Feedback Optimization (OFO) and dynamic estimation approach for a real-time power grid operation under time-varying…”
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Journal Article -
14
Stochastic Optimal Power Flow in Distribution Grids under Uncertainty from State Estimation
Published in 2018 IEEE Conference on Decision and Control (CDC) (01-12-2018)“…The increasing amount of controllable generation and consumption in distribution grids poses a severe challenge in keeping voltage values within admissible…”
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Conference Proceeding -
15
A Two-Step Distribution System State Estimator with Grid Constraints and Mixed Measurements
Published in 2018 Power Systems Computation Conference (PSCC) (01-06-2018)“…In this paper we consider the problem of State Estimation (SE) in large-scale, 3-phase coupled, unbalanced distribution systems. More specifically, we address…”
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Conference Proceeding -
16
Closing the Loop: Dynamic State Estimation and Feedback Optimization of Power Grids
Published 06-09-2019“…This paper considers the problem of online feedback optimization to solve the AC Optimal Power Flow in real-time in power grids. This consists in continuously…”
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Journal Article -
17
Comparison of Bounds for Optimal PMU Placement for State Estimation in Distribution Grids
Published 07-08-2019“…The lack of measurements in distribution grids poses a severe challenge for their monitoring: since there may not be enough sensors to achieve numerical…”
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Journal Article -
18
Stochastic Optimal Power Flow in Distribution Grids under Uncertainty from State Estimation
Published 24-07-2019“…The increasing amount of controllable generation and consumption in distribution grids poses a severe challenge in keeping voltage values within admissible…”
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Journal Article -
19
Efficient convex optimization for optimal PMU placement in large distribution grids
Published 29-10-2018“…The small amount of measurements in distribution grids makes their monitoring more difficult. Topological observability may not be possible, and thus,…”
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Journal Article -
20
Efficient Convex optimization for Optimal PMU Placement in Large Distribution Grids
Published in 2019 IEEE Milan PowerTech (01-06-2019)“…The small amount of measurements in distribution grids makes their monitoring difficult. Topological observability may not be possible, and thus,…”
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Conference Proceeding