Next Article in Journal
Comparison and Design of Resonant Network Considering the Characteristics of a Plasma Generator
Previous Article in Journal
Can Nighttime Light Data Be Used to Estimate Electric Power Consumption? New Evidence from Causal-Effect Inference
Article Menu

Export Article

Open AccessArticle

A Coherency Identification Method of Active Frequency Response Control Based on Support Vector Clustering for Bulk Power System

1
School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China
2
State Grid Liaoning Electric Power Supply Co., Ltd., Electric Power Research Institute, Shenyang 110006, China
*
Author to whom correspondence should be addressed.
Energies 2019, 12(16), 3155; https://doi.org/10.3390/en12163155
Received: 11 June 2019 / Revised: 22 July 2019 / Accepted: 13 August 2019 / Published: 16 August 2019
(This article belongs to the Section Electrical Power and Energy System)
  |  
PDF [1665 KB, uploaded 16 August 2019]
  |  

Abstract

Active frequency response (AFR) control is needed in current power systems. To solve the over-frequency problems of generators connected to non-disturbed buses during the AFR control period, the generators should be clustered into coherent groups. Thus, the control efficiency can be improved on the premise of ensuring control accuracy. Since the influencing factors (such as the model parameters, operation modes, and disturbance locations, etc.) of power system operation can be comprehensively reflected by the generator frequency, which is easily collected and calculated, the generator frequency can be used as the coherency identification input. In this paper, we propose a coherency identification method of AFR control based on support vector clustering for a bulk power system. By mapping data samples from the initial space to the high-dimensional feature space, the radius of the minimal enclosing sphere that can envelop all the data samples is obtained. Moreover, the coherency identification of generators is determined for AFR control according to the evaluating method of AFR clustering control effects and the evaluating index of cluster compactness and separation. The simulation results for the modified New England IEEE 10-generator 39-bus system and Henan power grid show that the proposed method is feasible and effective. View Full-Text
Keywords: active frequency response; bulk power system; support vector clustering; wide area measurement system; frequency dynamic curve; primary frequency control active frequency response; bulk power system; support vector clustering; wide area measurement system; frequency dynamic curve; primary frequency control
Figures

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Jin, C.; Li, W.; Liu, L.; Li, P.; Wu, X. A Coherency Identification Method of Active Frequency Response Control Based on Support Vector Clustering for Bulk Power System. Energies 2019, 12, 3155.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top