
An Optimal Procedure for Sizing and Siting of DGs and Smart Meters in Active Distribution Networks Considering Loss Reduction
Author(s) -
Tohid Sattarpour,
Daryoush Nazarpour,
Sajjad Golshannavaz,
Pierluigi Siano
Publication year - 2015
Publication title -
journal of electrical engineering and technology/journal of electrical engineering and technology
Language(s) - English
Resource type - Journals
eISSN - 2093-7423
pISSN - 1975-0102
DOI - 10.5370/jeet.2015.10.3.804
Subject(s) - sizing , minification , ac power , reduction (mathematics) , smart power , power loss , genetic algorithm , power (physics) , computer science , control theory (sociology) , engineering , mathematical optimization , electronic engineering , control (management) , electrical engineering , mathematics , voltage , physics , geometry , quantum mechanics , artificial intelligence , art , visual arts
The presence of responsive loads in the promising active distribution networks (ADNs)\udwould definitely affect the power system problems such as distributed generations (DGs) studies.\udHence, an optimal procedure is proposed herein which takes into account the simultaneous placement\udof DGs and smart meters (SMs) in ADNs. SMs are taken into consideration for the sake of successful\udimplementing of demand response programs (DRPs) such as direct load control (DLC) with end-side\udconsumers. Seeking to power loss minimization, the optimization procedure is tackled with genetic\udalgorithm (GA) and tested thoroughly on 69-bus distribution test system. Different scenarios including\udvariations in the number of DG units, adaptive power factor (APF) mode for DGs to support reactive\udpower, and individual or simultaneous placing of DGs and SMs have been established and interrogated\udin depth. The obtained results certify the considerable effect of DRPs and APF mode in determining\udthe optimal size and site of DGs to be connected in ADN resulting to the lowest value of power losses\udas well