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Distributed Reactive Power Control based Conservation Voltage Reduction in Active Distribution SystemsEMIROGLU, S. , UYAROGLU, Y. , OZDEMIR, G. |
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Author keywords
energy conservation, reactive power control, renewable energy sources, smart grids, voltage control
References keywords
power(40), systems(20), voltage(17), distribution(16), smart(11), energy(11), control(10), grid(9), distributed(9), reduction(8)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2017-11-30
Volume 17, Issue 4, Year 2017, On page(s): 99 - 106
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2017.04012
Web of Science Accession Number: 000417674300012
SCOPUS ID: 85035760762
Abstract
This paper proposes a distributed reactive power control based approach to deploy Volt/VAr optimization (VVO) / Conservation Voltage Reduction (CVR) algorithm in a distribution network with distributed generations (DG) units and distribution static synchronous compensators (D-STATCOM). A three-phase VVO/CVR problem is formulated and the reactive power references of D-STATCOMs and DGs are determined in a distributed way by decomposing the VVO/CVR problem into voltage and reactive power control. The main purpose is to determine the coordination between voltage regulator (VR) and reactive power sources (Capacitors, D-STATCOMs and DGs) based on VVO/CVR. The study shows that the reactive power injection capability of DG units may play an important role in VVO/CVR. In addition, it is shown that the coordination of VR and reactive power sources does not only save more energy and power but also reduces the power losses. Moreover, the proposed VVO/CVR algorithm reduces the computational burden and finds fast solutions. To illustrate the effectiveness of the proposed method, the VVO/CVR is performed on the IEEE 13-node test system feeder considering unbalanced loading and line configurations. The tests are performed taking the practical voltage-dependent load modeling and different customer types into consideration to improve accuracy. |
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