Overvoltage Prevention and Curtailment Reduction Using Adaptive Droop-Based Supplementary Control in Smart Inverters

Maharjan, Manisha; Tamrakar, Ujjwol; Ni, Zhen; Bhattarai, Bishnu; Tonkoski, Reinaldo

doi:10.3390/app11177900

Overvoltage Prevention and Curtailment Reduction Using Adaptive Droop-Based Supplementary Control in Smart Inverters

Journal Article · Fri Aug 27 00:00:00 EDT 2021 · Applied Sciences

DOI:https://doi.org/10.3390/app11177900· OSTI ID:1820409

Maharjan, Manisha ^[1]; ^[2]; Ni, Zhen ^[3]; Bhattarai, Bishnu ^[4]; ^[5]

North Dakota State Univ., Fargo, ND (United States)
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Florida Atlantic Univ., Boca Raton, FL (United States)
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
South Dakota State Univ., Brookings, SD (United States)

Recent developments in the renewable energy sector have seen an unprecedented growth in residential photovoltaic (PV) installations. However, high PV penetration levels often lead to overvoltage problems in low-voltage (LV) distribution feeders. Smart inverter control such as active power curtailment (APC)-based overvoltage control can be implemented to overcome these challenges. The APC technique utilizes a constant droop-based approach which curtails power rigidly, which can lead to significant energy curtailment in the LV distribution feeders. In this paper, different variations of the APC technique with linear, quadratic, and exponential droops have been analyzed from the point-of-view of energy curtailment for a LV distribution network in North America. Further, a combinatorial approach using various droop-based APC methods in conjunction with adaptive dynamic programming (ADP) as a supplementary control scheme has also been proposed. The proposed approach minimizes energy curtailment in the LV distribution network by adjusting the droop gains. Simulation results depict that ADP in conjunction with exponential droop reduces the energy curtailment to approximately 50% compared to using the standard linear droop.

View Accepted Manuscript (DOE)

Research Organization:: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office; National Science Foundation (NSF)

Grant/Contract Number:: NA0003525; SC0020281

OSTI ID:: 1820409

Alternate ID(s):: OSTI ID: 1824301

Report Number(s):: SAND--2021-10498J; 698613

Journal Information:: Applied Sciences, Journal Name: Applied Sciences Journal Issue: 17 Vol. 11; ISSN 2076-3417

Publisher:: MDPICopyright Statement

Country of Publication:: United States

Language:: English

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