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A multi-objective voltage optimization technique in distribution feeders with high photovoltaic penetration

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

With increasing photovoltaic (PV) penetration on distribution feeders, voltage functions is always a challenge. To control these variations due to the intermittent nature of PV generation,many utility companies use the traditional voltage regulating devices such as ON/OFF load tap changers, voltage regulators, switched capacitor banks and reactors. The use of smart inverters (SI) has been reported to provide a more effective and economical way of voltage regulation on distribution feeder. It then becomes necessary to optimally control the operation of these traditional voltage regulating devices and the SIs. This paper presents a multi-objective technique that minimizes the voltage fluctuation (by implementing conservative voltage reduction), the overall system active power losses and the amount of reactive power injection from the capacitor banks with various constraints on the smart inverter reactive power injection and voltage regulator switching. The proposed algorithm is tested on an IEEE 34 node system with six units of 300kW (400kVA SIs) PVs integrated using real data from an existing 1.4MW PV plant located at FIU. The Pareto optimization results of the proposed algorithm show the various optimal values of the PVs power factor, the voltage regulator settings and the capacitor reactive power injection. Using one of the Pareto optimal solutions, the results show that the system bus voltage profiles, total system power losses and capacitor reactive power injection were effectively optimized.

Original languageEnglish
Pages (from-to)377-385
Number of pages9
JournalAdvances in Science, Technology and Engineering Systems
Volume4
Issue number6
DOIs
StatePublished - 2019
Externally publishedYes

Keywords

  • Multi-objective Optimization
  • Photovoltaic Systems
  • Smart Inverters
  • Volt-VAR Optimization
  • Voltage Control

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