Distributed Reactive Power Control based Conservation Voltage Reduction in Active Distribution Systems


Emiroglu S., Uyaroglu Y., Özdemir G.

ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING, cilt.17, sa.4, ss.99-106, 2017 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 17 Sayı: 4
  • Basım Tarihi: 2017
  • Doi Numarası: 10.4316/aece.2017.04012
  • Dergi Adı: ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.99-106
  • Anahtar Kelimeler: energy conservation, reactive power control, renewable energy sources, smart grids, voltage control, CVR, PROFILE, ENERGY
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

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 (DSTATCOM). 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.