NDLI: Distribution system project selection based on the power quality value

Content Provider	IEEE Xplore Digital Library
Author	Mussoi, F.L.R. Teive, R.C.G.
Copyright Year	2012
Description	Author affiliation: Federal Institute of Santa Catarina, Florianopolis, Brazil (Mussoi, F.L.R.) \|\| Vale do Itajaí University, Brazil (Teive, R.C.G.)
Abstract	This paper addresses the problem of project selection for the improvement of power distribution systems, in which projects have to be chosen in order to fit the distribution utility's global budget. An analytical model is proposed to optimize the portfolio of selected projects, using the multi-objective genetic algorithm NSGA-II. Optimization criteria consider aspects of power quality, operational performance, number of consumers, and potential financial impacts of the projects. The value based optimization model prioritizes regional projects in a systemic way. The solution is a Pareto-optimal set of projects, representing the best project portfolios. The presented case studies show the changes in the choice of priority projects when power quality and operational performance are included in the analysis. The proposed method allows better planning of the distribution system, and helps in project selection and raising strategic investments.
Starting Page	1
Ending Page	8
File Size	342886
Page Count	8
File Format	PDF
ISBN	9781467326728
e-ISBN	9781467326735
DOI	10.1109/TDC-LA.2012.6319077
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-03
Publisher Place	Uruguay
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	NSGA-II Portfolio Management Project Selection Genetic Algorithm Statistics Power Quality Optimization Genetic algorithms Sociology Power quality Distribution Planning Planning Portfolios Pareto Optimization
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

Investment portfolio optimization of power grid projects based on niche genetic algorithms

Dynamically Weighted Continuous Ant Colony Optimization for Bi-Objective Portfolio Selection Using Value-at-Risk

Pareto Optimal Reconfiguration of Power Distribution Systems Using a Genetic Algorithm Based on NSGA-II

Pareto Optimization of Power System Reconstruction Using NSGA-II Algorithm

Smart grid reconfiguration using simple genetic algorithm and NSGA-II

Multi-objective optimal power filter planning in distribution network based on fast nondominated sorting genetic algorithms

Applying hueristic algorithms to portfolio selection problem

Portfolio optimization using multi-obj ective genetic algorithms

The stock portfolios simulated annealing genetic algorithm based on RAROC

Distribution system project selection based on the power quality value

Similar Documents

Investment portfolio optimization of power grid projects based on niche genetic algorithms

Dynamically Weighted Continuous Ant Colony Optimization for Bi-Objective Portfolio Selection Using Value-at-Risk

Pareto Optimal Reconfiguration of Power Distribution Systems Using a Genetic Algorithm Based on NSGA-II

Pareto Optimization of Power System Reconstruction Using NSGA-II Algorithm

Smart grid reconfiguration using simple genetic algorithm and NSGA-II

Multi-objective optimal power filter planning in distribution network based on fast nondominated sorting genetic algorithms

Applying hueristic algorithms to portfolio selection problem

Portfolio optimization using multi-obj ective genetic algorithms

The stock portfolios simulated annealing genetic algorithm based on RAROC

Distribution system project selection based on the power quality value