1. A New Approach to Improve PV Power Injection in LV Electrical Systems Using DVR
- Author
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Gerard Ledwich, Ali Arefi, Ghassem Mokhtari, Hossein Sagha, Arindam Ghosh, and Ghavameddin Nourbakhsh
- Subjects
Engineering ,Computer Networks and Communications ,business.industry ,020209 energy ,Photovoltaic system ,Electrical engineering ,02 engineering and technology ,Voltage optimisation ,AC power ,Distribution transformer ,7. Clean energy ,Tap changer ,Computer Science Applications ,Voltage compensation ,Control and Systems Engineering ,Control theory ,0202 electrical engineering, electronic engineering, information engineering ,Voltage regulation ,Electrical and Electronic Engineering ,business ,Information Systems - Abstract
With increasing photovoltaic (PV) penetration in low-voltage (LV) distribution networks, voltage violation during the peak PV generation period is one of the main power quality concerns. To minimize the PV power curtailment caused by voltage violations, this paper proposes a new approach utilizing one dynamic voltage restorer (DVR) at the secondary of an existing urban distribution transformer as a continuous voltage compensator with an accompanying control algorithm. The voltage compensation algorithm controls the DVR in real-time to prevent over-voltage and under-voltage at all network nodes, thereby maximizing PV injection and preventing equipment damage. The controller uses the equivalent line impedance of network to estimate the average voltage of load points without the need for any communication links for measuring load voltages. In this approach, the fixed tap changer of the distribution transformer is also optimally adjusted to minimize the DVR rating using a proposed offline optimization method. Simulation results on IEEE LV test feeder prove the ability of the DVR in maintaining all network node voltages within the allowable range in peak demand and peak PV generation periods with the benefit of injecting only a small amount of active and reactive power to the system, in contrast to alternative algorithms.
- Published
- 2018