Clustering of Power System Data and Its Use in Load Pocket Identification

Author(s):  
Katherine M Rogers ◽  
Thomas J Overbye
Keyword(s):  
SoftwareX ◽  
2021 ◽  
Vol 15 ◽  
pp. 100747
Author(s):  
José Daniel Lara ◽  
Clayton Barrows ◽  
Daniel Thom ◽  
Dheepak Krishnamurthy ◽  
Duncan Callaway

Author(s):  
Haifeng Huang ◽  
Hong Zhang ◽  
Xiaolu Li ◽  
Zhiqiang Yao ◽  
Fang Yu

2018 ◽  
Vol 7 (4) ◽  
pp. 17-55 ◽  
Author(s):  
Dasu Butti ◽  
Siva Kumar Mangipudi ◽  
Srinivasarao Rayapudi

In this article, a multi objective and a novel objective based Power System Stabilizer (PSS) design is proposed for a modified Heffron - Philiphs model (MHP) using bio inspired algorithms. A conventional Heffron – Philphs (CHP) model is developed by taking infinite bus voltage as reference, whereas MHP model is developed by taking transformer high voltage bus voltage as reference, which makes independent of external system data for the PSS design. PSS parameters are optimized using differential evolution (DE) algorithm and Firefly (FF) algorithm to obtain better dynamic response. The proposed method is tested on various operating conditions under different typical disturbances to test efficacy and robustness. Simulation results prove that better dynamic performance is obtained with the proposed stabilizers over the fixed gain stabilizers. This method of tuning would become a better alternative to conventional stabilizers as conventional stabilizers require retuning of parameters mostly when operating condition changes, which is a time-consuming process and laborious. Eigen value analysis is also done to prove the efficacy of the proposed method over the conventional methods.


1988 ◽  
Vol 21 (11) ◽  
pp. 73-79
Author(s):  
D. Rumpel ◽  
U. Post ◽  
R.W. Zaluk
Keyword(s):  

Author(s):  
K.Nithiyananthan Kannan ◽  
V.Ramachandran Veilumuthu

The main objective of this paper is to develop component model architecture for economic load dispatch of multi - area power systems. A component which is based on a single-server serving multiple clients has been proposed which enables all neighboring power systems to have simultaneous access to the remote economic load dispatch server for obtaining continuous load dispatch solutions. An EJB (Enterprise Java Beans) based, distributed environment has been implemented in such a way that each power system client can access the remote economic load dispatch EJB server through JNDI (Java Naming and Directory Interface) naming service with its power system data. The server computes the economic load dispatch and it provides the continuous automated load dispatch solutions to all the registered power system clients. Economic load dispatch EJB server inherently creates a new thread of control for every client request and hence complete component based distributed environment can be achieved.


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