Abstract
A power distribution system operates most efficiently with voltage deviations along a feeder kept to a minimum and must ensure all voltages remain within specified limits. Recently with the increased integration of photovoltaics, the variable power output has led to increased voltage fluctuations and violation of operating limits. This paper proposes an optimization model based on a recently developed heuristic search method, grey wolf optimization, to coordinate the various distribution controllers. Several different case studies on IEEE 33 and 69 bus test systems modified by including tap changing transformers, capacitors and photovoltaic solar panels are performed. Simulation results are compared to two other heuristic-based optimization methods: harmony search and differential evolution. The simulation results show the effectiveness of the method and indicate the usage of reactive power outputs of PVs facilitates better voltage magnitude profile.
| Original language | English |
|---|---|
| Pages (from-to) | 1133-1146 |
| Number of pages | 14 |
| Journal | Electrical Engineering |
| Volume | 100 |
| Issue number | 2 |
| DOIs | |
| State | Published - Jun 1 2018 |
Funding
This work was sponsored by the Office of Electricity Delivery & Energy Reliability, US Department of Energy under Contract No. DE-AC05-00OR 22725 with UT-Battelle and conducted at ORNL and UT Knoxville. This work also made use of Engineering Research Center Shared Facilities supported by the Engineering Research Center Program of the National Science Foundation and the Department of Energy under NSF Award Number EEC-1041877 and the CURENT Industry Partnership Program. The first author would like to thank the Scientific and Technological Research Council of Turkey (TUBITAK) for its financial support. Notice of Copyright: This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). Acknowledgements This work was sponsored by the Office of Electricity Delivery & Energy Reliability, US Department of Energy under Contract No. DE-AC05-00OR 22725 with UT-Battelle and conducted at ORNL and UT Knoxville. This work also made use of Engineering Research Center Shared Facilities supported by the Engineering Research Center Program of the National Science Foundation and the Department of Energy under NSF Award Number EEC-1041877 and the CURENT Industry Partnership Program. The first author would like to thank the Scientific and Technological Research Council of Turkey (TUBITAK) for its financial support. Notice of Copyright: This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan
Keywords
- Distributed generation
- Grey wolf optimization
- Smart grid
- Voltage regulation