scholarly journals Closed-Loop Identification of Power System Based on Ambient Data

2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
Chao Wu ◽  
Chao Lu ◽  
Yingduo Han
Keyword(s):  
Power System ◽  
Closed Loop ◽  
Operating Conditions ◽  
Power Grids ◽  
Theoretical Research ◽  
Convergence Properties ◽  
Phasor Measurements ◽  
Closed Loop Identification ◽  
Ambient Data ◽  
Consistency Properties

Small fluctuations caused by random changes of loads exist continuously in power grids, which are called ambient signals. Using time-synchronized phasor measurements, the closed-loop identification of power system based on ambient data is discussed, which can reflect accurate operating conditions currently and provide critical information for system analyzing and controller designing. The closed-loop identification of a power system with multiple disturbances is theoretically studied, including the closed-loop identifiability, the consistency properties, and the convergence properties. The requirements for realizing the closed-loop identification are summarized, and the theoretical research results are validated by simulation examples.

Power system parameter matching and particle swarm optimization of battery underground loader

2021 ◽  
Vol 13 (10) ◽  
pp. 168781402110414
Author(s):  
Sheng-Xian Yi ◽  
Zhong-Jiong Yang ◽  
Li-Qiang Zhou ◽  
Xiao-Yong Liu
Keyword(s):  
Particle Swarm Optimization ◽  
Power System ◽  
Working Conditions ◽  
Particle Swarm ◽  
System Optimization ◽  
Operating Conditions ◽  
Theoretical Research ◽  
Particle Swarm Algorithm ◽  
Swarm Optimization ◽  
Ongoing Research

As part of the ongoing research into new energy technology, battery-powered underground loaders have emerged. However, there have been few studies on power system optimization and matching for these battery underground loaders to date. This paper, which takes a 3-m3 battery underground loader as its research object, determines the loader’s optimal operating point through study of the power response characteristics of the loader’s motor under various working conditions. The effects of different power batteries on the working conditions are analyzed, and the loader’s component parameters are matched. Additionally, an optimization model of the driving system of the battery underground loader is constructed. On the basis of the driving operation characteristics of the loader, the particle swarm optimization algorithm is proposed to optimize the operating conditions of the loader’s driving motor. The results show that the transmission ratio is reduced after optimization. The single-cycle energy consumption is reduced by approximately 1.98% and the number of cycles in the health status of the power battery’s state-of-charge increases by approximately 1.91%, which verifies the feasibility of use of the particle swarm algorithm in the loader optimization problem. This work can serve as a reference for related theoretical research on underground loaders.

scholarly journals Analysis of Wind Power Grid Connection Based on MATLAB

2021 ◽  
Vol 267 ◽  
pp. 01050
Author(s):  
Yuyang Mao ◽  
Xiaolong Wang ◽  
Zhiqiang Wang
Keyword(s):  
Power System ◽  
Wind Power ◽  
Wind Turbines ◽  
Power Grid ◽  
Operating Conditions ◽  
Power Grids ◽  
Stable Operation ◽  
Grid Connection ◽  
Output Characteristics ◽  
The Impact

As the proportion of new energy sources such as wind power and photovoltaics in the power system continues to increase, their volatility and intermittentness have also brought new challenges to the stable operation of the power grid. The impact of the decline in power quality caused by a large number of wind power grids has become increasingly significant. This article analyzes and summarizes the development, status quo of wind power and the current problems of a large number of wind power grid connections. First, it briefly describes the history of wind power and the current development of wind power, and uses MATLAB to establish models of variable speed wind turbines connected to the grid. The models are used to analyze the output characteristics of wind turbines under normal operating conditions and faulty operating conditions. Finally, the impact of a large number of wind power grids on the power system is studied.

A New Optimized Method of Excitation Signal for Closed-Loop Identification of Power System Based on Ambient Signals

2012 ◽  
Vol 157-158 ◽  
pp. 277-285 ◽  
Author(s):  
Miao Yu ◽  
Chao Lu
Keyword(s):  
Power System ◽  
Closed Loop ◽  
Filter Method ◽  
Random Load ◽  
Optimal Method ◽  
Excitation Signal ◽  
Effective Performance ◽  
Closed Loop Identification ◽  
Kalman Filter Method ◽  
Identification Model

Excitation signal optimization is an important part in the power system identification based on ambient signals. An adaptive discrete Kalman filter method is proposed to select an optimal signal for closed-loop identification in this paper. This method is carried out through the use of the measurement innovation sequence as piecewise stationary process inside an estimation window. It also overcomes the shortcomings of relying on the correctness of the mathematical and statistical models excessively. The feature of random load changing in power system is fully considered in this method. Then under the energy constraints of input and output signals, this method can be used to solve the excitation signal which satisfies the performance of power system and the noise covariance estimation matrices are acquired. By using this method, the optimal identification model can be obtained. Simulation results show the effective performance of the proposed method. Compared with other methods, the quality of the closed-loop identification model based on ambient signals is improved by using the excitation signal optimal method proposed in this paper.

Devices for Synchronized Phasor Measurements of Electric Power System Operating Parameters under Different Conditions of Their Operation

2018 ◽  
Vol 6 (6) ◽  
pp. 16-23
Author(s):  
Boris K. MAKSIMOV ◽  
◽  
Tat’yana G. KLIMOVA ◽  
Andrei V. ZHUKOV ◽  
Dmitrii M. DUBININ ◽  
...  
Keyword(s):  
Power System ◽  
Electric Power ◽  
Electric Power System ◽  
Operating Parameters ◽  
Phasor Measurements ◽  
System Operating

Closed Loop Identification of a Steam Superheater

1979 ◽  
Vol 12 (8) ◽  
pp. 961-968
Author(s):  
J.A. de la Puente ◽  
P. Albertos
Keyword(s):  
Closed Loop ◽  
Steam Superheater ◽  
Closed Loop Identification

scholarly journals Software Sensor to Enhance Online Parametric Identification for Nonlinear Closed-Loop Systems for Robotic Applications

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3653
Author(s):  
Lilia Sidhom ◽  
Ines Chihi ◽  
Ernest Nlandu Kamavuako
Keyword(s):  
Degrees Of Freedom ◽  
Closed Loop ◽  
Sliding Mode ◽  
Robot Manipulator ◽  
Parametric Identification ◽  
Recursive Least Squares ◽  
Unknown Parameters ◽  
Closed Loop Identification ◽  
Input Variables ◽  
Robotic Applications

This paper proposes an online direct closed-loop identification method based on a new dynamic sliding mode technique for robotic applications. The estimated parameters are obtained by minimizing the prediction error with respect to the vector of unknown parameters. The estimation step requires knowledge of the actual input and output of the system, as well as the successive estimate of the output derivatives. Therefore, a special robust differentiator based on higher-order sliding modes with a dynamic gain is defined. A proof of convergence is given for the robust differentiator. The dynamic parameters are estimated using the recursive least squares algorithm by the solution of a system model that is obtained from sampled positions along the closed-loop trajectory. An experimental validation is given for a 2 Degrees Of Freedom (2-DOF) robot manipulator, where direct and cross-validations are carried out. A comparative analysis is detailed to evaluate the algorithm’s effectiveness and reliability. Its performance is demonstrated by a better-quality torque prediction compared to other differentiators recently proposed in the literature. The experimental results highlight that the differentiator design strongly influences the online parametric identification and, thus, the prediction of system input variables.

scholarly journals 5G Poor and Rich Novel Control Scheme Based Load Frequency Regulation of a Two-Area System with 100% Renewables in Africa

2020 ◽  
Vol 5 (1) ◽  
pp. 2
Author(s):  
Hady H. Fayek
Keyword(s):  
Power System ◽  
Fractional Order ◽  
Packet Loss ◽  
Pid Controller ◽  
Frequency Control ◽  
Operating Conditions ◽  
Load Frequency Control ◽  
Load Frequency ◽  
Control Scheme ◽  
Non Linear

Remote farms in Africa are cultivated lands planned for 100% sustainable energy and organic agriculture in the future. This paper presents the load frequency control of a two-area power system feeding those farms. The power system is supplied by renewable technologies and storage facilities only which are photovoltaics, biogas, biodiesel, solar thermal, battery storage and flywheel storage systems. Each of those facilities has 150-kW capacity. This paper presents a model for each renewable energy technology and energy storage facility. The frequency is controlled by using a novel non-linear fractional order proportional integral derivative control scheme (NFOPID). The novel scheme is compared to a non-linear PID controller (NPID), fractional order PID controller (FOPID), and conventional PID. The effect of the different degradation factors related to the communication infrastructure, such as the time delay and packet loss, are modeled and simulated to assess the controlled system performance. A new cost function is presented in this research. The four controllers are tuned by novel poor and rich optimization (PRO) algorithm at different operating conditions. PRO controller design is compared to other state of the art techniques in this paper. The results show that the PRO design for a novel NFOPID controller has a promising future in load frequency control considering communication delays and packet loss. The simulation and optimization are applied on MATLAB/SIMULINK 2017a environment.

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