Technical Support System for Power System Load Modeling

2020 ◽  
Vol 13 (7) ◽  
pp. 1059-1067
Author(s):  
Tiantian Sun ◽  
Shaorun Bian ◽  
Yu Sun ◽  
Zhenshu Wang ◽  
Wenqiao Li ◽  
...  
Keyword(s):  
Power System ◽  
Parameter Identification ◽  
Dynamic Characteristic ◽  
Support System ◽  
Technical Support ◽  
Technology Support ◽  
Load Modeling ◽  
Model Parameter ◽  
System Load ◽  
Load Model

Background: In order to better establish accurate load models and meet the practical demand of current power system load modeling, it is necessary to establish related technical support systems for power system load modeling. Objective: The purpose of the paper was to construct the overall scheme of power system load modeling technology support system and complete the development of the system. Methods: Based on the modular design idea, the system adopts a multi-level architecture combining B/S and C/S modes, covering the key technologies of substation classification based on selforganizing neural network algorithm, load dynamic characteristic classification based on lifting wavelet packet algorithm, load model parameter identification and load modeling based on adaptive interactive multiple model (AIMM) algorithm. Results: After actual operation verification, the built technology support system can well solve the related problems of substation classification, load dynamic characteristic classification, load model parameter identification and load modeling. It has the characteristics of a friendly man-machine interface, simple operation and strong extensibility. Conclusion: The built technology support system provides powerful technical support for improving the load data management level of the power system and establishing an accurate load model, and promotes the practical process of load modeling theory.

Comparsion of Two Kinds of Optimization Algorithm for Load Model Parameter Identification

2013 ◽  
Vol 380-384 ◽  
pp. 1521-1524
Author(s):  
Li Jie Ding ◽  
Zhou Jing Zhang ◽  
Ying Liu ◽  
Qi Huang ◽  
Jun Wang
Keyword(s):  
Power System ◽  
Parameter Identification ◽  
Optimization Algorithm ◽  
Differential Method ◽  
Numerical Results ◽  
Load Modeling ◽  
Key Technology ◽  
Model Parameter ◽  
Load Model ◽  
Parameter Identifications

Parameter Identification is the key technology in measurement-based load modeling. In order to identify parameters in power system ,the differential method which is based on the multiple curves fitting and interpolated method are compared in the paper. Numerical results illustrate that the differential method can improve the accuracy for load modeling parameter identifications.

Development of the Power Load Modeling System with Denoising and Parameter Identification

2013 ◽  
Vol 805-806 ◽  
pp. 712-715
Author(s):  
Li Di Wang ◽  
Qing Ying Ge ◽  
Zhe Li ◽  
Tai Gang Nian
Keyword(s):  
Parameter Identification ◽  
Dynamic Model ◽  
Variable Load ◽  
Signal Acquisition ◽  
Load Modeling ◽  
Load Model ◽  
Process Measurement ◽  
Power Load ◽  
Measurement Signal ◽  
Zip Model

The power load modeling system is designed with denoising and parameter identification. This system consists of signal acquisition, signal preprocessing, parameter identification, different load modeling methods such as ZIP model and Dynamic modeling. Original signal can be read from Excel file, which is the simulated signal or measurement signal. Then some kinds of denoising methods can be selected, which are mean filtering, medial filtering and wavelet denoising. After being denoised, the load signal is suitable for the parameter identification process. ZIP model is used to simulate the static load model, and the dynamic model is used to simulate the dynamic load model which is changeable during different periods. With the parameter identification and simulation process, measurement power load signal is used in the experiment, the dynamic model is more suitable for the variable load voltage features description.

scholarly journals Accurate Load Modeling Based on Analytic Hierarchy Process

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Zhenshu Wang ◽  
Xiaohui Jiang ◽  
Shaorun Bian ◽  
Yangyang Ma ◽  
Bowen Fan
Keyword(s):  
Power System ◽  
Analytic Hierarchy Process ◽  
Load Modeling ◽  
Analytic Hierarchy ◽  
Load Model ◽  
Load Models ◽  
Power Load ◽  
Hierarchy Process ◽  
Weight Coefficients ◽  
Traction Power

Establishing an accurate load model is a critical problem in power system modeling. That has significant meaning in power system digital simulation and dynamic security analysis. The synthesis load model (SLM) considers the impact of power distribution network and compensation capacitor, while randomness of power load is more precisely described by traction power system load model (TPSLM). On the basis of these two load models, a load modeling method that combines synthesis load with traction power load is proposed in this paper. This method uses analytic hierarchy process (AHP) to interact with two load models. Weight coefficients of two models can be calculated after formulating criteria and judgment matrixes and then establishing a synthesis model by weight coefficients. The effectiveness of the proposed method was examined through simulation. The results show that accurate load modeling based on AHP can effectively improve the accuracy of load model and prove the validity of this method.

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