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Analysis of the Effect of Uncertain Renewable Sources on Static Voltage Stability by Using NR-Based DSOPF Model with Adapted IEEE-30 Bus Test System
Author(s) -
Haluk Gözde,
Basar Baydar,
M. Cengiz Taplamacıoğlu
Publication year - 2018
Publication title -
balkan journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
ISSN - 2147-284X
DOI - 10.17694/bajece.423459
Subject(s) - renewable energy , weibull distribution , electricity , ac power , electric power system , wind power , electricity generation , engineering , computer science , automotive engineering , control theory (sociology) , voltage , power (physics) , electrical engineering , mathematics , statistics , physics , control (management) , quantum mechanics , artificial intelligence
This study examines the uncertainty effect of renewable energy resources on the static voltage stability thanks to modeling a specific area of Turkish electricity network by using classic IEEE 30-bus test system. For this purpose, the classic IEEE 30-bus test system is adapted to the Turkish electricity network by using new approach proposed in the study, which is based on the 2015 Turkey real and reactive load curves. In this way, the classic IEEE 30-bus test system is considered a part of Turkish electricity network. The analyses are performed on this model using Newton-Raphson (NR) solution by established three Optimal Power Flow (OPF) studies: dynamic-OPF study without renewable sources, dynamic-OPF study with renewable energy sources having constant power output, Dynamic-Stochastic Optimal Power Flow (DSOPF) study with uncertain renewable energy sources. To take into account the uncertainty effects, Weibull Probability Distribution Function (PDF) using Turkey wind and solar data are used for each month. At the end of the study, it is observed that the integration of uncertain renewable energy sources into the Turkey electricity power system largely decreases both the yearly total generation cost and the reactive power generation.

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