PSO-Based Voltage Control Strategy for Loadability Enhancement in Smart Power Grids

Su, Heng-Yi; Hsu, Yu-Liang; Chen, Yi-Chung

doi:10.3390/app6120449

Cited by 8 publications

(7 citation statements)

References 34 publications

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“…Each particle keeps track of its previous best position (pbest) and the best performing particle of the swarm is termed the global best (gbest). According to the particle's previous best experience and the best experience among the particles in its neighborhood, the speed and direction of the particle velocity are updated [30,31]. Mathematically, this algorithm is formulated as follows:…”

Section: Pso Algorithmmentioning

confidence: 99%

Optimal Control and Operation Strategy for Wind Turbines Contributing to Grid Primary Frequency Regulation

Kim

2017

Applied Sciences

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This study introduces a frequency regulation strategy to enable the participation of wind turbines with permanent magnet synchronous generators (PMSGs). The optimal strategy focuses on developing the frequency support capability of PMSGs connected to the power system. Active power control is performed using maximum power point tracking (MPPT) and de-loaded control to supply the required power reserve following a disturbance. A kinetic energy (KE) reserve control is developed to enhance the frequency regulation capability of wind turbines. The coordination with the de-loaded control prevents instability in the PMSG wind system due to excessive KE discharge. A KE optimization method that maximizes the sum of the KE reserves at wind farms is also adopted to determine the de-loaded power reference for each PMSG wind turbine using the particle swarm optimization (PSO) algorithm. To validate the effectiveness of the proposed optimal control and operation strategy, three different case studies are conducted using the PSCAD/EMTDC simulation tool. The results demonstrate that the optimal strategy enhances the frequency support contribution from PMSG wind turbines.

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Section: Pso Algorithmmentioning

confidence: 99%

Optimal Control and Operation Strategy for Wind Turbines Contributing to Grid Primary Frequency Regulation

Kim

2017

Applied Sciences

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“…Gravitational Search Algorithm (GSA) is one of such optimization algorithms used in optimization of pumped storage hydro unit [59], in the forecasting of coal demand [60] or in forecasting of monthly electricity demands [48] as well as in other energy and engineering problems [61]. Particle Swarm Optimization (PSO) algorithm is used so far for developing of power loss reduction method in power industry sector [62], in optimization of power supply system [63] as well as in the analysis and optimization of smart power grids [64]. Ant Colony Optimization (ACO) can be used in optimization of biodiesel production [65], in AC/DC distribution network planning problem [66], etc.…”

Section: Introductionmentioning

confidence: 99%

Genetic Algorithm Approach to Design of Multi-Layer Perceptron for Combined Cycle Power Plant Electrical Power Output Estimation

et al. 2019

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In this paper a genetic algorithm (GA) approach to design of multi-layer perceptron (MLP) for combined cycle power plant power output estimation is presented. Dataset used in this research is a part of publicly available UCI Machine Learning Repository and it consists of 9568 data points (power plant operating regimes) that is divided on training dataset that consists of 7500 data points and testing dataset containing 2068 data points. Presented research was performed with aim of increasing regression performances of MLP in comparison to ones available in the literature by utilizing heuristic algorithm. The GA described in this paper is performed by using mutation and crossover procedures. These procedures are utilized for design of 20 different chromosomes in 50 different generations. MLP configurations that are designed with GA implementation are validated by using Bland - Altman (B-A) analysis. By utilizing GA, MLP with five hidden layers of 80,25,65,75 and 80 nodes, respectively, is designed. For aforementioned MLP, k - fold cross-validation is performed in order to examine its generalization performances. The Root Mean Square Error ( R M S E ) value achieved with aforementioned MLP is 4.305 , that is significantly lower in comparison with MLP presented in available literature, but still higher than several complex algorithms such as KStar and tree based algorithms.

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“…Voltage collapse is described as the phenomenon in which the events in sequential operations are accompanied by voltage instability. This may lead to blackouts or abnormally low voltage distribution in a vital part of the power grid [4,5]. Therefore, it is essential that system operators easily identify system voltage instability to prevent possible voltage collapse.…”

Section: Introductionmentioning

confidence: 99%

A PMU-Based Method for Smart Transmission Grid Voltage Security Visualization and Monitoring

Liu

2017

Energies

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Abstract:With the rapid growth of usage of phasor measurement units (PMUs) for modern power grids, the application of synchronized phasors (synchrophasors) to real-time voltage security monitoring has become an active research area. This paper presents a novel approach for fast determination of loading margin using PMU data from a wide-area monitoring system (WAMS) to construct the voltage stability boundary (VSB) of a transmission grid. Specifically, a new approach for online loading margin estimation that considers system load trends is proposed based on the Thevenin equivalent (TE) technique and the Mobius transformation (MT) technique. A VSB is then computed by means of real-time PMU measurements and is presented in a complex load power space. VSB can be utilized as a visualization tool that is able to provide real-time visualization of the current voltage stability situation. The proposed method is fast and adequate for online voltage security assessment. Furthermore, it enables us to significantly increase a system operator's situational awareness for operational decision making. Simulation studies were carried out using different sized power grid models under various operating conditions. The simulation results are shown to validate the capability of the proposed method.

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PSO-Based Voltage Control Strategy for Loadability Enhancement in Smart Power Grids

Cited by 8 publications

References 34 publications

Optimal Control and Operation Strategy for Wind Turbines Contributing to Grid Primary Frequency Regulation

Optimal Control and Operation Strategy for Wind Turbines Contributing to Grid Primary Frequency Regulation

Genetic Algorithm Approach to Design of Multi-Layer Perceptron for Combined Cycle Power Plant Electrical Power Output Estimation

A PMU-Based Method for Smart Transmission Grid Voltage Security Visualization and Monitoring

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