| 1. |
- Chamorro Vera, Harold R, et al.
(author)
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Coherent groups identification under high penetration of non-synchronous generation
- 2016
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In: IEEE Power and Energy Society General Meeting. - : IEEE. - 9781509041688
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Conference paper (peer-reviewed)abstract
- The current power systems are facing an important transition due to the integration of non-synchronous generation through back-to-back Full Rated Converters' (FRC). Coherency behaviour under the presence of large inclusion of renewables requires special attention in order to understand the swing oscillations when the inertia is decreasing due to the decoupling. This paper presents the application of the so-called Koopman operator for the identification of coherent groups in power systems with the influence of non-synchronous generation. The method provides a clustering observation tool based on measurement signals allowing to identify the dynamic changes effected through the derived spectral analysis of the Koopman modes. The applied method of coherency identification is evaluated in the Nordic test system through gradually increasing integration and different fault locations.
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| 2. |
- Chamorro Vera, Harold R., et al.
(author)
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On the Optimization of Damping Enhancement in a Power System with a Hybrid HVDC Link
- 2019
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In: Proceedings of 2019 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2019. - : Institute of Electrical and Electronics Engineers (IEEE).
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Conference paper (peer-reviewed)abstract
- Hybrid HVDC links incorporate both Line Commutated Converters (LCC) and Voltage Source Converters (VSC) systems, thereby gathering the benefits of both technologies. Supplementary Power Oscillation Damping (POD) controllers can be added to both LCCs and VSCs to help enhance the power system stability against disturbances, such as short circuits. However POD controller tuning can be a delicate process, due to the highly non-linear and complex nature of the involved power system, which might induce adverse interactions leading to a reduced damping. This paper proposes the application of the Simulated Annealing Algorithm (SAA) for tuning the POD controllers parameters, with the purpose of optimizing the performance of POD controllers in the power system. The damping performance is evaluated in case of multiple disturbances in a test power system. The results show the ability of the proposed technique to enhance the performance of the POD controllers under various operating conditions.
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| 3. |
- Rodriguez, Juan R., et al.
(author)
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A single-loop and current-sensorless control for on-grid seven-level photovoltaic microinverter
- 2022
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In: IET Power Electronics. - : Institution of Engineering and Technology (IET). - 1755-4535 .- 1755-4543. ; n/a:n/a
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Journal article (peer-reviewed)abstract
- 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 1.5Â kW.
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| 4. |
- Cajas, Patricio, et al.
(author)
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AC Multi-Stage Transmission Network Expansion Planning considering a Multi-Voltage Approach
- 2022
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In: 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe). - : Institute of Electrical and Electronics Engineers (IEEE). ; , s. 1-5
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Conference paper (peer-reviewed)abstract
- Long-term transmission network expansion planning aims to determine where, when and which types of equipment should be installed over a period of time, in order to meet the electric market needs with certain specifications of quality in services at the lowest possible cost. Until now, several methods have been proposed to solve the Static Transmission Network Expansion Planning (STNEP) problem, considering a multi-voltage approach using the DC load flow, however, these solutions may not be feasible when the AC model is used for the operational problem. In this paper a multi-stage model based on the mathematical formulation of the AC load flow is solved, considering a multi-voltage approach, power losses and reactive power compensation. The AC multi-stage transmission network expansion planing problem with multi-voltage approach (MTNEP-MV) was solved by the hybrid meta-heuristic, Differential Evolution (DE) and Continuous Population-Based Incremental Learning (PBILc) algorithm. To evaluate the proposed mathematical formulation Garver 6-bus system was used. The results show that raising the transmission system voltage and considering the MTNEP-MV problem, less transmission lines are required, and also power losses and reactive power compensation needs, are reduced.
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| 5. |
- Cantillo-Luna, Sergio, et al.
(author)
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Locational Marginal Price Forecasting Using SVR-Based Multi-Output Regression in Electricity Markets
- 2022
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In: Energies. - : MDPI AG. - 1996-1073. ; 15:1
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Journal article (peer-reviewed)abstract
- Electricity markets provide valuable data for regulators, operators, and investors. The use of machine learning methods for electricity market data could provide new insights about the market, and this information could be used for decision-making. This paper proposes a tool based on multi-output regression method using support vector machines (SVR) for LMP forecasting. The input corresponds to the active power load of each bus, in this case obtained through Monte Carlo simulations, in order to forecast LMPs. The LMPs provide market signals for investors and regulators. The results showed the high performance of the proposed model, since the average prediction error for fitting and testing datasets of the proposed method on the dataset was less than 1%. This provides insights into the application of machine learning method for electricity markets given the context of uncertainty and volatility for either real-time and ahead markets.
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| 6. |
- Chamorro Vera, Harold Rene, et al.
(author)
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Innovative primary frequency control in low-inertia power systems based on wide-area RoCoF sharing
- 2020
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In: IET Energy Systems Integration. - : Institution of Engineering and Technology (IET). - 2516-8401. ; 2:2, s. 151-160
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Journal article (peer-reviewed)abstract
- Future plans for integration of large non-synchronous generation and the expansion of the power system in the Nordic countries are a concern to transmission system operators due to the common interconnections and electricity exchanges among these operative areas. The expected reduction in the inertia anticipates an alteration of the frequency response, provoking a high Rate of Change of Frequency (RoCoF) slopes that can jeopardise the security of the interconnected systems. Since power generation in the Nordic countries such as Sweden, Finland and Norway is hydro-dominated, here, the authors propose a novel solution to tackle this problem including wide area measurements to monitor and share the RoCoF in remote areas with lower inertia to enhance their primary frequency control. To demonstrate the effectiveness of the proposed solution, first a test benchmark control with optimised parameters is developed and later compared against the proposed method. Additionally, since the proposed solution is based on measurements from remote locations in order to guarantee the stability of the system the impact of delays in the communication channels is also included in the problem formulation.
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| 7. |
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| 8. |
- Chamorro Vera, Harold Rene, et al.
(author)
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Power system coherency recognition and islanding: Practical limits and future perspectives
- 2022
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In: IET Energy Systems Integration. - : Institution of Engineering and Technology (IET). - 2516-8401. ; n/a
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Journal article (peer-reviewed)abstract
- Abstract Electrical power systems are continuously upgrading into networks with a higher degree of automation capable of identifying and reacting to different events that may trigger undesirable situations. In power systems with decreasing inertia and damping levels, poorly damped oscillations with sustained or growing amplitudes following a disturbance may eventually lead to instability and provoke a major event such as a blackout. Additionally, with the increasing and considerable share of renewable power generation, unprecedented operational challenges shall be considered when proposing protection schemes against unstable electro-mechanical (e.g. ringdown) oscillations. In an emergency situation, islanding operations enable splitting a power network into separate smaller networks to prevent a total blackout. Due to such changes, identifying the underlying types of oscillatory coherency and the islanding protocols are necessary for a continuously updating process to be incorporated into the existing power system monitoring and control tasks. This paper examines the existing evaluation methods and the islanding protocols as well as proposes an updated operational guideline based on the latest data-analytic technologies.
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| 9. |
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| 10. |
- Chamorro Vera, Harold Rene, et al.
(author)
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Synthetic inertia control based on fuzzy adaptive differential evolution
- 2019
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In: International Journal of Electrical Power & Energy Systems. - : Elsevier. - 0142-0615 .- 1879-3517. ; 105, s. 803-813
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Journal article (peer-reviewed)abstract
- The transformation of the traditional transmission power systems due to the current rise of non-synchronous generation on it presents new engineering challenges. One of the challenges is the degradation of the inertial response due to the large penetration of high power converters used for the interconnection of renewables energy sources. The addition of a supplementary synthetic inertia control loop can contribute to the improvement of the inertial response. This paper proposes the application of a novel Fuzzy Adaptive Differential Evolution (FADE) algorithm for the tuning of a fuzzy controller for the improvement of the synthetic inertia control in power systems. The method is validated with two test power systems: (i) an aggregated power system and its purpose is to understand the controller-system behavior, and (ii) a two-area test power system where one of the synchronous machine has been replaced by a full aggregated model of a Wind Turbine Generator (WTG), whereby different limits in the tuning process can be analyzed. Results demonstrate the evolution of the membership functions and the inertial response enhancement in the respective test cases. Moreover, the appropriate tuning of the controller shows that it is possible to substantially reduce the instantaneous frequency deviation.
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