NDLI: The optimal loss reduction of distribution feeder based on special distribution transformers reconnection using genetic algorithm

Content Provider	IEEE Xplore Digital Library
Author	Whei-Min Lin Yuh-Sheng Su Sung-Chien Chang Ming-Tong Tsay Shi-Jaw Chen
Copyright Year	2000
Description	Author affiliation: Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan (Whei-Min Lin)
Abstract	Many utility companies of Taiwan Power Company (TPC) used the open wye-open delta (OYOD) transformers to serve various customers. This causes phase unbalance which is one of the prime reasons of ground relay tripping and extra line loss in the distribution system. Load reconnection, feeder reconfiguration and capacitor placement are common methods used to balance load or minimize power loss. The purpose of this paper is to reduce power loss by means of load reconnection of the prime phase sequence of the OYOD transformers used. Genetic algorithms (GAs) have been implemented for solving the optimal problem. Practical examples of TPC demonstrate that the proposed method is effective and available.
Starting Page	1413
Ending Page	1418
File Size	466252
Page Count	6
File Format	PDF
ISBN	0780363388
DOI	10.1109/ICPST.2000.898176
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-12-04
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Transformers Costs Virtual manufacturing Genetic algorithms Capacitors Power generation economics Voltage Equations Power system relaying Biological cells
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Optimal phase arrangement of distribution transformers connected to a primary feeder for system unbalance improvement and loss reduction using a genetic algorithm

Optimal Voltage Restoration in Electric Power System Using Genetic Algorithms

Energy loss reduction in distribution systems using GA-based optimal allocation of fixed and switched capacitors

Optimal Planning of Reactive Power Compensators for Oil Field Distribution Networks

Optimal phase arrangement of distribution transformers connected to a primary feeder for system unbalance improvement and loss reduction using a genetic algorithm

Reactive Power/Voltage control for unbalanced distribution system using genetic algorithms

Reactive energy optimal planning in distribution feeders using a sensitivity-based heuristic method

Feeder reconfiguration for loss reduction in unbalanced distribution system using genetic algorithm.

Optimal DG placement for minimizing power loss in distribution feeder systems using sensory-deprived optimization algorithm

The optimal loss reduction of distribution feeder based on special distribution transformers reconnection using genetic algorithm

Similar Documents

Optimal phase arrangement of distribution transformers connected to a primary feeder for system unbalance improvement and loss reduction using a genetic algorithm

Optimal Voltage Restoration in Electric Power System Using Genetic Algorithms

Energy loss reduction in distribution systems using GA-based optimal allocation of fixed and switched capacitors

Optimal Planning of Reactive Power Compensators for Oil Field Distribution Networks

Optimal phase arrangement of distribution transformers connected to a primary feeder for system unbalance improvement and loss reduction using a genetic algorithm

Reactive Power/Voltage control for unbalanced distribution system using genetic algorithms

Reactive energy optimal planning in distribution feeders using a sensitivity-based heuristic method

Feeder reconfiguration for loss reduction in unbalanced distribution system using genetic algorithm.

Optimal DG placement for minimizing power loss in distribution feeder systems using sensory-deprived optimization algorithm

The optimal loss reduction of distribution feeder based on special distribution transformers reconnection using genetic algorithm