NDLI: Two-stage heuristic methodology for optimal reconfiguration and Volt/VAr control in the operation of electrical distribution systems

Content Provider	IET Digital Library
Author	Alcaraz, Guillermo Gutiérrez Hernández, José H. Tovar
Abstract	The availability of smart grid technology makes it more feasible to use optimal reconfiguration and Volt/VAr control strategies for minimising electricity losses in distribution systems. This study presents a two-stage heuristic method to calculate the optimal impact of network reconfiguration and switching of already-installed capacitors over electrical distribution losses. The two-stage method searches first for a set of reduced feasible reconfigurations with less losses via a binary particle swarm optimisation and an optimal power flow algorithm, and then performs a Volt/VAr control for each feasible reconfiguration by switching capacitors, until reaching negligible changes in losses. Numerical examples and a test case considering a practical distribution network of the Taiwan Power Company demonstrate the effectiveness of the proposed method.
Starting Page	3946
Ending Page	3954
Page Count	9
ISSN	17518687
Volume Number	11
e-ISSN	17518695
Issue Number	Issue 16, Nov (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/11/16
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2016.1870
Journal	IET Generation, Transmission & Distribution
Publisher Date	2017-08-25
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Binary Particle Swarm Optimisation Control of Electric Power System Distribution Network Electrical Distribution Loss Electrical Distribution System Electricity Loss Network Reconfiguration Optimal Power Flow Algorithm Optimal Reconfiguration Optimisation Technique Particle Swarm Optimisation Power Distribution Control Power System Control Smart Grid Technology Smart Power Grid Switching Capacitor Taiwan Power Company Two-stage Heuristic Methodology Volt/VAr Control Voltage Control
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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 reconfiguration and capacitor placement for power loss reduction of distribution system using improved binary particle swarm optimization

Optimal reconfiguration and capacitor placement for power loss reduction of distribution system using improved binary particle swarm optimization

Efficient heuristic-based approach for multi-objective capacitor allocation in radial distribution networks

Feeder reconfiguration and capacitor allocation in the presence of non-linear loads using new P-PSO algorithm

Two-layer volt/var/total harmonic distortion control in distribution network based on PVs output and load forecast errors

Multi-objective approach for distribution network reconfiguration with optimal DG power factor using NSPSO

Combined Reconfiguration and Capacitor Placement for Distribution System Volt/Var Control through Opposition based Differential Evolution Algorithm

Optimal planning and operation of static VAR compensators in a distribution system with non-linear loads

Extension of life of distribution transformer using Volt-VAr optimisation in a distribution system

Two-stage heuristic methodology for optimal reconfiguration and Volt/VAr control in the operation of electrical distribution systems

Similar Documents

Optimal reconfiguration and capacitor placement for power loss reduction of distribution system using improved binary particle swarm optimization

Optimal reconfiguration and capacitor placement for power loss reduction of distribution system using improved binary particle swarm optimization

Efficient heuristic-based approach for multi-objective capacitor allocation in radial distribution networks

Feeder reconfiguration and capacitor allocation in the presence of non-linear loads using new P-PSO algorithm

Two-layer volt/var/total harmonic distortion control in distribution network based on PVs output and load forecast errors

Multi-objective approach for distribution network reconfiguration with optimal DG power factor using NSPSO

Combined Reconfiguration and Capacitor Placement for Distribution System Volt/Var Control through Opposition based Differential Evolution Algorithm

Optimal planning and operation of static VAR compensators in a distribution system with non-linear loads

Extension of life of distribution transformer using Volt-VAr optimisation in a distribution system

Two-stage heuristic methodology for optimal reconfiguration and Volt/VAr control in the operation of electrical distribution systems