Open AccessMulti‐objective optimization model for distribution network reconfiguration in the presence of distributed generations
Author(s) -
Zarei Milad,
Zangeneh Ali
Publication year - 2017
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/etep.2425
Subject(s) - distributed generation , control reconfiguration , turbine , wind power , reliability engineering , voltage , engineering , computer science , mathematical optimization , control theory (sociology) , automotive engineering , renewable energy , electrical engineering , mathematics , control (management) , mechanical engineering , embedded system , artificial intelligence
Summary With increasing annual energy demand and significant growth in the use of distributed generation (DG), distribution companies are exploring ways to improve the technical specifications of the distribution networks such as power losses, customer interruption costs, and voltage stability and on the other hand to increase the penetration level of DGs. In this paper, a multi‐objective optimization model is proposed for distribution network reconfiguration (DNR) to decrease the total costs of energy losses and energy not supplied (ENS) and increase the voltage stability and DG penetration level. Seasonal hourly load curves are applied, and best configuration is determined for each loading condition. Uncertainties regarding the load variations and volatile power production of wind turbine are modeled using a 2‐point estimate method, and a benefit‐cost analysis is used to assess the effects of depreciation cost in DNR problem. The proposed model is applied on 2 typical test systems.