Optimizing PV System Placement in Kirkuk City Power System Using PSO Algorithm-Reference-Cited by-同舟云学术

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Optimizing PV System Placement in Kirkuk City Power System Using PSO Algorithm

Published:2023-12-27 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI)
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Author:

Ali Isam Taha¹,Yahya Adel E. M.²,Amer Ayman³,Sarreb Rebha Daw⁴,Yahya Khalid²,Aldababsa Mahmoud⁵,Hafez Mohamed⁶

Affiliation:

1. Istanbul Gelisim University,Dept of Electrical and Electronics Engineering,Istanbul,Turkey

2. Sabratah Universit,Dept of Electrical Engineering,Regdalen,Libya

3. Zarqa university,Dept of Energy Engineering,Zarqa,Jordan

4. Sabratah Unversity,Dept of computer Enemeenng,Regdalen,Libya

5. Nisantasi University,Dept of Electrical and Electronics Engineering,Istanbul,Turkey

6. INTI-IU-University,Faculty of Engineering FEQS,Nilai,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10590066/10590003/10590146.pdf?arnumber=10590146

Reference14 articles.

1. Optimal Placement and Sizing of PV as DG for Losses Minimization Using PSO Algorithm: a Case in Purworejo Area

2. Reactive Power Management and Protection Coordination of Distribution Network with High Solar Photovoltaic Penetration

3. Development of a Hybrid Support Vector Machine with Grey Wolf Optimization Algorithm for Detection of the Solar Power Plants Anomalies

4. Towards a Self- sustained House: Development of an Analytical Hierarchy Process System for Evaluating the Performance of Self-sustained Houses

5. Optimal placement for hybrid energy in micro-grid

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