9216

8518

كارشناسي ارشد

قدرت

اصفهان: دانشگاه صنعتي اصفهان، دانشكده برق و كامپيوتر

1393

ده،105ص.: مصور،جدول،نمودار﴿رنگي﴾

ص.ع.به فارسي و انگليسي

غلامرضا يوسفي

7/8/93

حميدرضا كارشناس، محمدامين لطيفي

مهندسي برق و كامپيوتر

ID8518

106Technical and economical DG planning considering static load modeling Hamed Moazzam h moazzam@ec iut ac ir Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language Farsi Supervisor Gholamreza Yousefi yousefi@cc iut ac ir Abstract In the recent decades electricity energy consumption has increased as population increased and technology and human s life style are improved Over the past century electrical energyconsumption has doubled almost every eight years Almost everywhere around the world largepower plants have been constructed and transmission grids connected the load centers to thegeneration points as a meshed grid To overcome the mentioned load increases new power plantsshould be built or the existing plants as well as transmission and distribution systems should beexpanded According to the literature Distributed Generation DG resources could have severalbenefits which if it used properly their disadvantages would be dominated by their advantages Optimum sizing and siting of DGs is the key point in installation and operation of these resources In power system studies to decrease complication and computation and sometimes to considerthe worst case power consumption is considered as consonant load PQ constant On the otherhand loads consumption is a function of voltage and frequency of the supply Therefore loadmodeling can lead to a more accurate study and result In this research sizing and siting of DGs isdiscussed as a two dimension multi objectives problem while static load modeling is taken toaccount To do so at the first step the objective function consists of only technical indices and inthe next case also includes economic indices and the problem is introduced and solved as aneconomical or technical multi objective problem At the second step two technical andeconomical objective functions are lumped together and is optimized by a special type of ParticleSwarm Optimization method MOPSO DC Finally the planning is formulated as a dynamicprogramming problem in which DGs siting and sizing is performed to minimize the investmentand operation costs Keywords 1 Distributed Generation DG 2 static load modeling 3 multi objective optimization 4 dynamic programming

غلامرضا يوسفي

حميدرضا كارشناس، محمدامين لطيفي