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Chamorro Vera, Harold ReneORCID iD iconorcid.org/0000-0003-2128-2425
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Publications (10 of 100) Show all publications
Jovel-Zelaya, B. R., Vargas-Godoy, G. O., Flores, W. C., Chamorro Vera, H. R., Aguillon-Garcia, J., Sood, V. K., . . . Konstantinou, C. (2023). 4 - Effects of an hourly tariff on the electricity power sector - the Honduran model. In: Green Energy Systems: Design, Modelling, Synthesis and Applications (pp. 69-91). Academic Press
Open this publication in new window or tab >>4 - Effects of an hourly tariff on the electricity power sector - the Honduran model
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2023 (English)In: Green Energy Systems: Design, Modelling, Synthesis and Applications, Academic Press , 2023, p. 69-91Chapter in book (Other academic)
Place, publisher, year, edition, pages
Academic Press, 2023
Series
Green Energy Systems
National Category
Computer Systems
Identifiers
urn:nbn:se:kth:diva-323533 (URN)10.1016/B978-0-323-95108-1.00004-5 (DOI)2-s2.0-85150581263 (Scopus ID)
Note

Part of book: ISBN 978-0-323-95108-1, QC 20230201

Available from: 2023-02-01 Created: 2023-02-01 Last updated: 2023-06-08Bibliographically approved
Bertozzi, O., Chamorro Vera, H. R., Gomez-Diaz, E. O., Chong, M. S. & Ahmed, S. (2023). Application of data-driven methods in power systems analysis and control. IET Energy Systems Integration
Open this publication in new window or tab >>Application of data-driven methods in power systems analysis and control
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2023 (English)In: IET Energy Systems Integration, ISSN 2516-8401Article in journal (Refereed) Published
Abstract [en]

The increasing integration of variable renewable energy resources through power electronics has brought about substantial changes in the structure and dynamics of modern power systems. In response to these transformations, there has been a surge in the development of tools and algorithms leveraging real-time computational power to enhance system operation and stability. Data-driven methods have emerged as practical approaches for extracting reliable representations from non-linear system data, enabling the identification of dynamics and system parameters essential for analysing stability and ensuring reliable operation. This study provides a comprehensive review of recent contributions in the literature concerning the application of data-driven identification, analysis, and control methods in various aspects of power system operation. Specifically, the focus is on frequency support, power oscillation detection, and damping, which play crucial roles in maintaining grid stability. By discussing the challenges posed by parametric uncertainties, load and source variability, and reduced system inertia, this review sheds light on the opportunities for future research endeavours.

Place, publisher, year, edition, pages
Institution of Engineering and Technology (IET), 2023
Keywords
optimisation, power generation control, power grids, power system stability, predictive control, renewable energy sources, smart power grids
National Category
Other Computer and Information Science
Identifiers
urn:nbn:se:kth:diva-338836 (URN)10.1049/esi2.12122 (DOI)
Note

QC 20231030

Available from: 2023-10-27 Created: 2023-10-27 Last updated: 2023-10-30Bibliographically approved
Silva, C. D. e., Tello-Maita, J., Marulanda, A. & Chamorro Vera, H. R. (2023). Assessing the PV Hosting Capacity of a Colombian Urban MV Network. In: 1st IEEE Colombian Caribbean Conference, C3 2023: . Paper presented at 1st IEEE Colombian Caribbean Conference, C3 2023, Nov 22 2023 - Nov 25 2023, Barranquilla, Colombia. Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>Assessing the PV Hosting Capacity of a Colombian Urban MV Network
2023 (English)In: 1st IEEE Colombian Caribbean Conference, C3 2023, Institute of Electrical and Electronics Engineers (IEEE) , 2023Conference paper, Published paper (Refereed)
Abstract [en]

High levels of connected PV generation in distribution systems impact the power quality and network operation considerably. Therefore, it is important to determine the maximum capacity of PV generation that can be installed using appropriate techniques to model the variability of solar resources. This work presents a probabilistic methodology to determine the PV hosting capacity in a radial distribution system using Gaussian Mixture Model and Monte Carlo simulation to characterize the availability of irradiance and the power demand behavior. The maximum allowed PV capacity is determined by analyzing the results of the power flow simulations in terms of the currents, voltages and power factor. The methodology was applied to a real medium voltage distribution grid located in Bogota-Colombia using a Matlab-OpenDSS interface, and its hosting capacity was determined in terms of the maximum voltage variations allowed by the Colombian regulations.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023
Keywords
Power distribution systems, Probabilistic Model, PV generation systems, PV hosting capacity
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-344355 (URN)10.1109/C358072.2023.10436297 (DOI)2-s2.0-85186759120 (Scopus ID)
Conference
1st IEEE Colombian Caribbean Conference, C3 2023, Nov 22 2023 - Nov 25 2023, Barranquilla, Colombia
Note

Part of ISBN: 979-835034179-9

QC 20240314

Available from: 2024-03-13 Created: 2024-03-13 Last updated: 2024-03-14Bibliographically approved
Azizi, A., Jahromi, M. Z., Dehghanian, P., Chamorro Vera, H. R., Mirez, J. & Sood, V. K. (2023). Decentralized Multi-Objective Energy Management With Dynamic Power Electronic Converters and Demand Response Constraints. IEEE Access, 11, 146297-146312
Open this publication in new window or tab >>Decentralized Multi-Objective Energy Management With Dynamic Power Electronic Converters and Demand Response Constraints
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2023 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 11, p. 146297-146312Article in journal (Refereed) Published
Abstract [en]

Energy management plays a pivotal role in enhancing the economic efficiency of power systems. However, it is noteworthy that a substantial number of microgrids (MGs) exhibit inherent unbalances that impose a range of critical issues, including voltage instability, elevated losses, power quality violations, safety concerns, and inefficiencies in energy management. Fast-acting power electronic converters present a relevant and efficacious solution for balancing such complex networks. This paper investigates the application of such converters within the realm of 3-phase unbalanced networks, wherein the proposed algorithm not only ameliorates network imbalances but also yields substantial reductions in operational costs, power losses, voltage deviations, and emissions. Demand response (DR) program has been applied to the model to enhance the system efficiency. The uncertainty about electric demand and renewable energy sources is considered in the simulation model for precise results. By implementing DR programs and penetrating distributed generators (DGs), the proposed model has been shown to reduce network losses and operation costs by 23% and 80%, respectively. Also, the total up-to-down voltage deviation of the voltage profile has been significantly reduced by 400%.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023
Keywords
demand response, Dynamic generation, energy management, microgrid, optimization, renewable energy
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Energy Systems Energy Engineering
Identifiers
urn:nbn:se:kth:diva-342393 (URN)10.1109/ACCESS.2023.3344209 (DOI)001135261400001 ()2-s2.0-85181579698 (Scopus ID)
Note

QC 20240118

Available from: 2024-01-17 Created: 2024-01-17 Last updated: 2024-02-29Bibliographically approved
Garrido-Arevalo, V. M., Gil-Gonzalez, W., Montoya, O. D., Chamorro, H. R. & Mi­rez, J. (2023). Efficient Allocation and Sizing the PV-STATCOMs in Electrical Distribution Grids Using Mixed-Integer Convex Approximation. Energies, 16(20)
Open this publication in new window or tab >>Efficient Allocation and Sizing the PV-STATCOMs in Electrical Distribution Grids Using Mixed-Integer Convex Approximation
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2023 (English)In: Energies, E-ISSN 1996-1073, Vol. 16, no 20Article in journal (Refereed) Published
Abstract [en]

Photovoltaic (PV) systems are a clean energy source that allows for power generation integration into electrical networks without destructive environmental effects. PV systems are usually integrated into electrical networks only to provide active power during the day, without taking full advantage of power electronics devices, which can compensate for the reactive power at any moment during their operation. These systems can also generate dynamic reactive power by means of voltage source converters, which are called PV-STATCOM devices. This paper presents a convex formulation for the optimal integration (placement and sizing) of PV-STATCOM devices in electrical distribution systems. The proposed model considers reducing the costs of the annual energy losses and installing PV-STATCOM devices. A convex formulation was obtained to transform the hyperbolic relation between the products of the voltage into a second-order constraint via relaxation. Two simulation cases in the two IEEE test systems (33- and 69-node) with radial and meshed topologies were implemented to demonstrate the effectiveness of the proposed mixed-integer convex model. The results show that PV-STATCOM devices reduce the annual cost of energy losses of electrical networks in a more significant proportion than PV systems alone.

Place, publisher, year, edition, pages
MDPI AG, 2023
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-338321 (URN)10.3390/en16207147 (DOI)2-s2.0-85175309063 (Scopus ID)
Note

QC 20231023

Available from: 2023-10-19 Created: 2023-10-19 Last updated: 2023-11-08Bibliographically approved
Barco-Jimenez, J., Obando, G., Chamorro Vera, H. R., Pantoja, A., Bravo, E. C. & Aguado, J. A. (2023). In-line Distributed Dispatch of Active and Reactive Power based on ADMM and Consensus Considering Battery Degradation in Microgrids. IEEE Access, 11, 31479-31495
Open this publication in new window or tab >>In-line Distributed Dispatch of Active and Reactive Power based on ADMM and Consensus Considering Battery Degradation in Microgrids
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2023 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 11, p. 31479-31495Article in journal (Refereed) Published
Abstract [en]

This work presents a distributed in-line strategy to manage an isolated microgrid by optimizing active and reactive power dispatch. The proposed objective function leads to minimize the operation costs and addresses some technical requirements such as diminishing power losses and voltage deviation. Additionally, the strategy deals with temporal multi-scale goals, i.e., robustness to demand disturbances and variation of renewable resources (a short-term objective), and preservation of the health of battery-based storage systems (a long-term objective). The technique uses alternating directions method of multipliers (ADMM), accelerated consensus, and a novel battery degradation model (Quadratic AH-Throughput model). We test the proposed solution in a case study that includes renewable resources and lead-acid and lithium batteries. To obtain the results of the case study, we employ a co-simulation scheme that uses Matlab and DIgSILENT. Finally, the performance of the method is compared with a centralized optimization technique.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023
National Category
Control Engineering
Identifiers
urn:nbn:se:kth:diva-324739 (URN)10.1109/ACCESS.2023.3248958 (DOI)000967622500001 ()2-s2.0-85149369493 (Scopus ID)
Note

QC 20230315

Available from: 2023-03-14 Created: 2023-03-14 Last updated: 2023-10-16Bibliographically approved
Bertozzi, O., Chamorro, H. R., Rouzbehi, K., Guel-Cortez, A.-J. & Ahmed, S. (2023). Observer-based Power System Stabilizer for Multi-terminal DC Networks. In: 2023 International Conference on Smart Energy Systems and Technologies (SEST): . Paper presented at 2023 International Conference on Smart Energy Systems and Technologies (SEST), 4-6 Sept. 2023, Mugla, Turkey (pp. 1-6). Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>Observer-based Power System Stabilizer for Multi-terminal DC Networks
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2023 (English)In: 2023 International Conference on Smart Energy Systems and Technologies (SEST), Institute of Electrical and Electronics Engineers (IEEE) , 2023, p. 1-6Conference paper, Published paper (Refereed)
Abstract [en]

Multi-terminal DC (MTDC) networks interconnect isolated systems, asynchronous areas, and renewable energy resources. However, ensuring stability and proper dynamic behavior of MTDC networks can be challenging. Power electronic converters offer increased control capabilities to achieve predictable and stable dynamics in the face of disturbances, faults, and sustained oscillations. The DC-side power system stabilizer (DC-PSS) is a supplementary controller that relies on optimal placement for maximized effectiveness. Observers can estimate the state of relevant system variables for the feedback controller without system-wide communication. This paper proposes an optimally-placed observer-based augmented DC-PSS for enhanced voltage stability in MTDC networks. The design procedure assumes no knowledge of the structure and parameters of the inner controllers of the terminal converters. We present a mathematical model and discuss the observer and control design procedures, and simulation results show the benefits and potential drawbacks of the proposed approach. Our observer-based DC-PSS relies on system-wide DC-bus voltage estimates from a single measurement, making it less vulnerable to communication delays and cyberattacks. Our work contributes to the field of supplementary controllers in MTDC networks and provides insights into future research directions toward stable and reliable DC power systems.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-338324 (URN)10.1109/SEST57387.2023.10257480 (DOI)
Conference
2023 International Conference on Smart Energy Systems and Technologies (SEST), 4-6 Sept. 2023, Mugla, Turkey
Note

QC 20231023

Available from: 2023-10-19 Created: 2023-10-19 Last updated: 2023-10-23Bibliographically approved
Guel-Cortez, A. J., Kim, E. J. & Chamorro Vera, H. R. (2023). Parameter Estimation of Fractional-Order Systems via Evolutionary Algorithms and the Extended Fractional Kalman Filter. In: 2023 International Conference on Fractional Differentiation and Its Applications, ICFDA 2023: . Paper presented at 2023 International Conference on Fractional Differentiation and Its Applications, ICFDA 2023, Ajman, United Arab Emirates, Mar 14 2023 - Mar 16 2023. Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>Parameter Estimation of Fractional-Order Systems via Evolutionary Algorithms and the Extended Fractional Kalman Filter
2023 (English)In: 2023 International Conference on Fractional Differentiation and Its Applications, ICFDA 2023, Institute of Electrical and Electronics Engineers (IEEE) , 2023Conference paper, Published paper (Refereed)
Abstract [en]

As fractional-order models increasingly appear as an option to describe complex systems, they generate a demand for parameter estimation methods in the time and frequency domain. The extended Kalman filter (EKF) is a promising technique in the time domain, but it is sensitive to the initial conditions of the state and error covariance matrices. In the case of integer-order systems, evolutionary algorithms (EAs) can tackle EKF's sensitiveness issues. The algorithm usually uses EAs to optimise the initial conditions for the EK, leading to a better estimate of the system parameters and states. Here, we extend this methodology to fractional-order models to estimate the model's fractional order and parameters. Finally, we demonstrate the effectiveness of this methodology on a simple mechanical model.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023
Keywords
Extended Kalman Filter, Fractional Calculus, Fractional-order Systems, Genetic Algorithms, Parameter Identification
National Category
Control Engineering Energy Systems
Identifiers
urn:nbn:se:kth:diva-334451 (URN)10.1109/ICFDA58234.2023.10153299 (DOI)2-s2.0-85164536819 (Scopus ID)
Conference
2023 International Conference on Fractional Differentiation and Its Applications, ICFDA 2023, Ajman, United Arab Emirates, Mar 14 2023 - Mar 16 2023
Note

Part of ISBN 9798350321685

QC 20230821

Available from: 2023-08-21 Created: 2023-08-21 Last updated: 2023-08-21Bibliographically approved
Rodriguez, J. R., Mejia-Ruiz, G. E., Paternina, M. R. A., Velazquez-Ibanez, A., Salgado-Herrera, N. M., Santoyo-Anaya, M. A., . . . Chamorro Vera, H. R. (2022). A single-loop and current-sensorless control for on-grid seven-level photovoltaic microinverter. IET Power Electronics, n/a(n/a)
Open this publication in new window or tab >>A single-loop and current-sensorless control for on-grid seven-level photovoltaic microinverter
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2022 (English)In: IET Power Electronics, ISSN 1755-4535, E-ISSN 1755-4543, Vol. n/a, no n/aArticle in journal (Refereed) Published
Abstract [en]

Abstract This paper proposes a single-phase transformerless photovoltaic (PV) microinverter for low and medium-voltage applications. The proposed approach comprises a suitable combination of multilevel boost/buck and H-bridge topologies with a current-sensorless control scheme, where the system controller only needs a straightforward-to-implement control loop to reach the desired attributes in solar PV conversion systems. Compared with other microinverters, this proposal significantly reduces the number of hardware components and required software resources, considerably attaining industrial and production advantages; guaranteeing: (i) a high DC elevation factor; (ii) an extraction of maximum power from solar PV panels; (iii) a multilevel output voltage; (iv) a low total harmonic distortion; and (v) a power factor close to unity. The multilevel microinverter’s feasibility and effectiveness are assessed by a comprehensive mathematical model, whose simulation results are evaluated using MATLAB-Simulink, and the experimental results are validated by means of an on-grid low-scale prototype, generating a power capacity of 1.5 kW.

Place, publisher, year, edition, pages
Institution of Engineering and Technology (IET), 2022
Keywords
DC-AC power convertors, photovoltaic power systems
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-322604 (URN)10.1049/pel2.12436 (DOI)000900722700001 ()2-s2.0-85144322395 (Scopus ID)
Note

QC 20230308

Available from: 2022-12-21 Created: 2022-12-21 Last updated: 2023-03-08Bibliographically approved
Cantillo-Luna, S., Moreno-Chuquen, R., Gonzalez-Longatt, F. & Chamorro Vera, H. R. (2022). A Type-2 Fuzzy Controller to Enable the EFR Service from a Battery Energy Storage System. Energies, 15(7)
Open this publication in new window or tab >>A Type-2 Fuzzy Controller to Enable the EFR Service from a Battery Energy Storage System
2022 (English)In: Energies, E-ISSN 1996-1073, Vol. 15, no 7Article in journal (Refereed) Published
Abstract [en]

The increased use of distributed energy resources, especially electrical energy storage systems (EESS), has led to greater flexibility and complexity in power grids, which has led to new challenges in the operation of these systems, with particular emphasis on frequency regulation. To this end, the transmission system operator in Great Britain has designed a control scheme known as Enhanced Frequency Response (EFR) that is especially attractive for its implementation in EESS. This paper proposes a Type-2 fuzzy control system that enables the provision of EFR service from a battery energy storage system in order to improve the state-of-charge (SoC) management while providing EFR service from operating scenarios during working and off-duty days. The performance of the proposed controller is compared with a conventional FLC and PID controllers with similar features. The results showed that in all scenarios, but especially under large frequency deviations, the proposed controller presents a better SoC management in comparison without neglecting the EFR service provision.

Place, publisher, year, edition, pages
MDPI AG, 2022
Keywords
battery energy storage systems, enhanced frequency response, state-of-charge control, type-2 fuzzy logic controller
National Category
Control Engineering
Identifiers
urn:nbn:se:kth:diva-310218 (URN)10.3390/en15072389 (DOI)000783104800001 ()2-s2.0-85127435010 (Scopus ID)
Note

QC 20220329

Available from: 2022-03-24 Created: 2022-03-24 Last updated: 2023-08-28Bibliographically approved
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ORCID iD: ORCID iD iconorcid.org/0000-0003-2128-2425

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