PDF

Comparison of Reactive Power Compensatio

Salim Adolfo Giha Yidi, Vladimir Sousa Santos

2026enreactive powerpower factorharmonic distortioncapacitor banksindustrial systemsenergy efficiency

Abstract

Language:

This paper compares concentrated and distributed reactive power compensation to improve the power factor at the point of common connection (PCC) of an industrial electrical system (IES) with harmonics. The electrical system under study has a low power factor, voltage variation, and harmonics caused by motors operating at low loads and powered by variable-speed drives. The designed compensation system mitigates harmonics and reduces electrical losses with the shortest payback period. Four solutions were compared, considering concentrated and distributed compensation with capacitor banks and harmonic filters. Although the cost of investment in concentrated compensation is lower than that of distributed compensation, a higher reduction in electrical losses and a lower payback period were observed with distributed methods, indicating an overall improvement in power quality.

Download

Cite This Work

@article{12b71c0c-490d-4cd9-b799-d5ff29d1f3ad,
  title={Comparison of Reactive Power Compensatio},
  author={Salim Adolfo Giha Yidi and Vladimir Sousa Santos},
  year={2026},
  language={en}
}
TY  - JOUR
TI  - Comparison of Reactive Power Compensatio
AU  - Salim Adolfo Giha Yidi
AU  - Vladimir Sousa Santos
PY  - 2026
LA  - en
ER  -

Similar Items

Retrofitting centralized air compressor stations with end-use-aware predictive set-pressure control using a physics-constrained pressure-drop model

Taito Watanabe, Yohei Kono

Compressed air systems usually run at a constant set pressure well above the end-use requirement; the excess margin is wasted energy. A lightweight hi

2026enPDF

Constraint-first energy-efficient indoor environmental control with multi-agent device coordination and knowledge-graph memory

Defan Feng, Hongbin Xie

Energy-efficient indoor control is often formulated as direct energy minimization, with comfort and indoor environmental quality (IEQ) represented by

2027enPDF

Bridging the grid-thermal-computational nexus via physics-informed hierarchical multi-agent reinforcement learning for data center co-optimization

Zekai Jin, Yue Zhou

Driven by the rapid growth of cloud computing and artificial intelligence, data centers (DCs) are becoming large, flexible loads that increasingly aff

2027enPDF

Metal Casting Processes

Unknown, Unknown

This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu

2023enPDF

The Nature of Solid Iron and Its Grain Structure

Unknown, Unknown

This study focuses on the fundamental characteristics of solid iron, which is predominantly composed of iron atoms and provides a basis for understand

2023enPDF

842063941 SX configuration

2026enPDF