Voltage Stability Margin Index Estimation Using a Hybrid Kernel Extreme Learning Machine Approach

Villa-Acevedo, Walter M.; López-Lezama, Jesús M.; Colomé, D. G.

doi:10.3390/en13040857

Cited by 21 publications

(12 citation statements)

References 51 publications

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“…In the development of this work, we used a computational intelligence field known as ISs due to the strong expansion of electrical energy systems and the growing need for interdisciplinary cooperation. ISs have the ability to use knowledge to perform tasks or solve problems as well as harness associations and inferences to work with complex problems; furthermore, ISs have the ability to efficiently store and retrieve large amounts of information to solve problems or make decisions [26].…”

Section: Intelligent Systemsmentioning

confidence: 99%

Application of Intelligent Systems in Volt-VAr Centralized Control in Modern Distribution Systems of Electrical Energy

et al. 2022

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Centralized control of voltage magnitude and reactive power (Volt-VAr) is a highly complex combinatorial problem that seeks to determine the optimal adjustment of a set of control variables such as active and reactive power generation of distributed generators (DGs), modules in operation of capacitor banks, and voltage regulator taps; these with the purpose of ensuring an optimal operation of distribution systems. Looking for tools that allow real-time automation of this type of control, this study applies different intelligent system (ISs) techniques, such as decision trees, artificial neural networks, and support vector machines. Voltage magnitudes at nodes, current flow magnitudes in the circuits, and active and reactive power injections at the nodes at different grid points were used as input data. Training was performed from available measurements and actions recorded at the system control center. The tests were performed in a 42-bus distribution test system demonstrating the efficiency and robustness of the proposed solution techniques when compared with the results of a conventional mathematical model.

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Section: Intelligent Systemsmentioning

confidence: 99%

Application of Intelligent Systems in Volt-VAr Centralized Control in Modern Distribution Systems of Electrical Energy

et al. 2022

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“…To integrate distributed energy resources within distribution systems, probabilistic voltage estimation is required. In [108], a long-term voltage stability margin estimation based on artificial intelligence (AI) techniques that combines a Kernel Extreme Learning Machine (KELM) with a Mean-Variance Mapping Optimization (MVMO) algorithm was proposed. An MVMO was used to optimize the parameter settings of the KELM for the online estimation of the voltage stability.…”

Section: Hybrid Voltage Stability Margin (Vsm) Indexmentioning

confidence: 99%

Voltage Stability of Power Systems with Renewable-Energy Inverter-Based Generators: A Review

et al. 2021

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The main purpose of developing microgrids (MGs) is to facilitate the integration of renewable energy sources (RESs) into the power grid. RESs are normally connected to the grid via power electronic inverters. As various types of RESs are increasingly being connected to the electrical power grid, power systems of the near future will have more inverter-based generators (IBGs) instead of synchronous machines. Since IBGs have significant differences in their characteristics compared to synchronous generators (SGs), particularly concerning their inertia and capability to provide reactive power, their impacts on the system dynamics are different compared to SGs. In particular, system stability analysis will require new approaches. As such, research is currently being conducted on the stability of power systems with the inclusion of IBGs. This review article is intended to be a preface to the Special Issue on Voltage Stability of Microgrids in Power Systems. It presents a comprehensive review of the literature on voltage stability of power systems with a relatively high percentage of IBGs in the generation mix of the system. As the research is developing rapidly in this field, it is understood that by the time that this article is published, and further in the future, there will be many more new developments in this area. Certainly, other articles in this special issue will highlight some other important aspects of the voltage stability of microgrids.

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“…ese methods are helpful to determine the proximity of a given operating point to a voltage collapse point, but the computational steps and time are heavy. erefore, their main disadvantage is time-consuming to calculate for a large power system network and they can only predict the voltage collapse point on the power network [28,29].…”

Section: Literature Reviewmentioning

confidence: 99%

An Innovatory Method Based on Continuation Power Flow to Analyze Power System Voltage Stability with Distributed Generation Penetration

2020

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With the penetration of distributed generation (DG) units, the power systems will face insecurity problems and voltage stability issues. This paper proposes an innovatory method by modifying the conventional continuation power flow (CCPF) method. The proposed method is realized on two prediction and correction steps to find successive load flow solutions according to a specific load scenario. Firstly, the tangent predictor is proposed to estimate the next predicted solution from two previous corrected solutions. And then, the corrector step is proposed to determine the next corrected solution on the exact solution. This corrected solution is constrained to lie in the hyperplane running through the predicted solution orthogonal to the line from the two previous corrected solutions. Besides, once the convergence criterion is reached, the procedure for cutting the step length control down to a smaller one is proposed to be implemented. The effectiveness of the proposed method is verified via numerical simulations on three standard test systems, namely, IEEE 14-bus, 57-bus, and 118-bus, and compared to the CCPF method.

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Voltage Stability Margin Index Estimation Using a Hybrid Kernel Extreme Learning Machine Approach

Cited by 21 publications

References 51 publications

Application of Intelligent Systems in Volt-VAr Centralized Control in Modern Distribution Systems of Electrical Energy

Application of Intelligent Systems in Volt-VAr Centralized Control in Modern Distribution Systems of Electrical Energy

Voltage Stability of Power Systems with Renewable-Energy Inverter-Based Generators: A Review

An Innovatory Method Based on Continuation Power Flow to Analyze Power System Voltage Stability with Distributed Generation Penetration

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