شماره ركورد كنفرانس :
4179
عنوان مقاله :
MULTI-OBJECTIVE PLANNING OF CAPACITORS IN DISTRIBUTION NETWORKS WITH CONSIDERATION OF UNCERTAINTIES
پديدآورندگان :
Jannati Oskuee Mohammad Reza m.r.jannati@azaruniv.edu Phd Student, Electrical Engineering Department, Azarbaijan Shahid Madani
University, Tabriz, Iran, , Roshan Milani Karim kr_milani@yahoo.com MSc at Electrical Engineering, East Azarbaijan Electric Power Distribution
Company, Tabriz, Iran, , Najafi Ravadanegh Sajad s.najafi@azaruniv.edu Associate Professor, Electrical Engineering Department,
Azarbaijan Shahid Madani University, Tabriz, Iran,
كليدواژه :
Capacitor sitting and sizing , electric distribution system , Uncertainty modeling, Scenario Based , Stochastic Programming, Multi , Objective, Genetic Algorithm
عنوان كنفرانس :
اولين مسابقه كنفرانس بين المللي جامع علوم مهندسي در ايران
چكيده فارسي :
This paper suggests a method based on stochastic multi-objective modeling for integration of capacitors in distribution networks. The suggested strategy determines the optimal location and size of capacitors through optimizing three different objective functions simultaneously. The integrity, efficiency and voltage profile of the system will be improved by having proper value of capacitors’ size and location. In this paper, the load and price uncertainties, due to their great effect in planning and operation of power systems, are taken into consideration by suggested methodology which leads to the best solution for the planning problem of networks. The most efficient algorithm known as NSGA II is applied to find non-dominated solutions that allows the DisCo to exercise his/her preferences. In this study, in order to achieve the highest performance of power system, the operational features are considered as hard limit constraints. The proposed method is applied on 33-bus distribution network. The obtained simulation results are presented and discussed to show the effectiveness of the suggested method.
