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Optimal sitting and sizing of distributed generators considering plug-in electric vehicles

Liu, Zhipeng , Wen, Fushuan, Xue, Yusheng , Xin, Jianbo , & Ledwich, Gerard (2011) Optimal sitting and sizing of distributed generators considering plug-in electric vehicles. Dianli Xitong Zidonghua [Automation of Electric Power Systems], 35(18), pp. 11-18.

Abstract

Some uncertainties such as the stochastic input/output power of a plug-in electric vehicle due to its stochastic charging and discharging schedule, that of a wind unit and that of a photovoltaic generation source, volatile fuel prices and future uncertain load growth, all together could lead to some risks in determining the optimal siting and sizing of distributed generators (DGs) in distributed systems. Given this background, under the chance constrained programming (CCP) framework, a new method is presented to handle these uncertainties in the optimal sitting and sizing problem of DGs. First, a mathematical model of CCP is developed with the minimization of DGs investment cost, operational cost and maintenance cost as well as the network loss cost as the objective, security limitations as constraints, the sitting and sizing of DGs as optimization variables. Then, a Monte Carolo simulation embedded genetic algorithm approach is developed to solve the developed CCP model. Finally, the IEEE 37-node test feeder is employed to verify the feasibility and effectiveness of the developed model and method. This work is supported by an Australian Commonwealth Scientific and Industrial Research Organisation (CSIRO) Project on Intelligent Grids Under the Energy Transformed Flagship, and Project from Jiangxi Power Company.

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ID Code: 49452
Item Type: Journal Article
Additional URLs:
Keywords: Plug-in electric vehicle, Distributed generator, Siting and sizing, Chance constrained programming, Monte Carlo simulation, Genetic algorithm
ISSN: 1000-1026
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 02 Apr 2012 13:54
Last Modified: 02 Apr 2012 13:54

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