Improving high-voltage transmission system adequacy under contingency by genetic algorithms

Gatta, Fabio Massimo; Geri, A.; Lauria, S.; Maccioni, M.

doi:10.1016/j.epsr.2008.05.013

Cited by 9 publications

(5 citation statements)

References 23 publications

(27 reference statements)

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“…The implemented regulation exploits the reactive production or absorption of renewablebased generators. The reactive power exchanges have to fulfill the typical capability diagram of the PV generator, as in [35]. In detail, the maximum Q that a DG system can provide (Qmax) to the grid should be calculated according to the following equation, considering an operating point characterized by an active power production greater or equal to 10% of the apparent power Sn: According to Figure 3, if inequality (5) is not fulfilled, the regulation is activated.…”

Section: Centralized Voltage Regulation Frameworkmentioning

confidence: 99%

“…As reported in Figure 3, the optimization technique used for this nonlinear problem is based on a microgenetic algorithm, implemented by the authors in the open-source Octave environment and coupled with MATPOWER. The μGA was developed by the authors to solve other research issues, as in [35]. The usage of μGA enables addressing the solution of nonlinear problems with adequate performance, even during real-time operation.…”

Section: Centralized Voltage Regulation Frameworkmentioning

confidence: 99%

See 1 more Smart Citation

False Data Injection Impact on High RES Power Systems with Centralized Voltage Regulation Architecture

Bragatto

Bucarelli

et al. 2023

Sensors

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The increasing penetration of distributed generation (DG) across power distribution networks (DNs) is forcing distribution system operators (DSOs) to improve the voltage regulation capabilities of the system. The increase in power flows due to the installation of renewable plants in unexpected zones of the distribution grid can affect the voltage profile, even causing interruptions at the secondary substations (SSs) with the voltage limit violation. At the same time, widespread cyberattacks across critical infrastructure raise new challenges in security and reliability for DSOs. This paper analyzes the impact of false data injection related to residential and non-residential customers on a centralized voltage regulation system, in which the DG is required to adapt the reactive power exchange with the grid according to the voltage profile. The centralized system estimates the distribution grid state according to the field data and provides the DG plants with a reactive power request to avoid voltage violations. A preliminary false data analysis in the context of the energy sector is carried out to build up a false data generator algorithm. Afterward, a configurable false data generator is developed and exploited. The false data injection is tested in the IEEE 118-bus system with an increasing DG penetration. The false data injection impact analysis highlights the need to increase the security framework of DSOs to avoid facing a relevant number of electricity interruptions.

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Section: Centralized Voltage Regulation Frameworkmentioning

confidence: 99%

Section: Centralized Voltage Regulation Frameworkmentioning

confidence: 99%

False Data Injection Impact on High RES Power Systems with Centralized Voltage Regulation Architecture

Bragatto

Bucarelli

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…GAs search for an optimal solution applying the principles of evolution and heredity on a small population of 'individuals' (typically 4 or 5), each representing a solution of the given problem; the combination of a small number of individuals and of a restart mechanism helps to avoid nonoptimized solutions and/or slow convergence. The authors applied GAs to the study of bulk power system adequacy under contingency [37,38], also taking into account the economic implications of generation re-dispatch in an energy market [39].…”

Section: Description Of the Modelmentioning

confidence: 99%

Generalized pi-circuit tower grounding model for direct lightning response simulation

Gatta

Geri

Lauria

et al. 2014

Electric Power Systems Research

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“…This conviction is testified by the directions in which [17] has been declined in the technical literature, i.e. optimal power flow in distribution power networks [25], parametric analysis on distribution networks [26], different computation techniques for power flow with alternating search directions [27], power flow in unbalanced multiple-grounded 4-wire distribution networks [28], power flow for general mixed distribution networks [29], a current based model of an integrated power flow controller to be included in Newton-Raphson power flow [30] and the use of genetic algorithm to improve the high-voltage transmission system adequacy under contingency [31].…”

Section: Introductionmentioning

confidence: 99%

A Basic AC Power Flow Based on the Bus Admittance Matrix Incorporating Loads and Generators Including Slack Bus

Benato

2022

IEEE Trans. Power Syst.

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This paper presents an algorithm for solving the AC basic power flow based on some enrichments provided in the bus admittance matrix methods findable in the literature. In particular, the interpretation of the slack bus generator as a current source rather than a voltage one and its inclusion inside an "all-inclusive" admittance matrix allows obtaining strong performances of the algorithm. In fact, this method gives both a well conditioning of the admittance matrix and the reduction of matrix partitioning for each iteration. As a result, a greater precision of the solution, a shorter execution time compared to classical commercial methods, a decreasing number of iterations and optimal convergence properties are obtained. Eventually, in order to show the efficiency of the method, real and fictious networks are tested, by comparing its results and performances with robust open source/commercial software packages that use well-known methods (i.e. Newton-Raphson and Fast Decoupled Load Flow methods).

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Improving high-voltage transmission system adequacy under contingency by genetic algorithms

Cited by 9 publications

References 23 publications

False Data Injection Impact on High RES Power Systems with Centralized Voltage Regulation Architecture

False Data Injection Impact on High RES Power Systems with Centralized Voltage Regulation Architecture

Generalized pi-circuit tower grounding model for direct lightning response simulation

A Basic AC Power Flow Based on the Bus Admittance Matrix Incorporating Loads and Generators Including Slack Bus

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