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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM53154

Reactive Power Optimization Approach for Hybrid AC/DC Networks Incorporating Multiple Wind Power Levels

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-

Subject:

-

Paper ID:

IJSREM53154

Volume:

9 |

10 |

Oct 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

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License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SR

Shaik Rizwan1

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Abstract

As more wind power is integrated into the grid and AC/DC hybrid power systems continue to grow, voltage stability—especially at the receiving end—has become a serious concern. One effective way to address this issue is by using dynamic reactive power compensation devices. This paper introduces a strategy for optimizing reactive power in AC/DC hybrid grids, specifically taking into account the challenges introduced by renewable energy sources. It begins by developing a detailed mathematical model of the hybrid system. To improve voltage recovery after faults, the paper defines a new indicator to measure recovery performance. Based on this, an optimal control strategy for reactive power devices is created to boost the system’s ability to bounce back from disturbances. Given the complex and nonlinear nature of the problem, the authors use a combination of the trajectory sensitivity method and the whale optimization algorithm to efficiently find solutions. The proposed method is then tested on an enhanced IEEE-9 system to verify its performance and practicality.

KEYWORDS

Wind Power integration AC/DC hybrid grids Voltage Stability issues Reactive power compensation Optimization strategy Renewable energy integration Voltage recovery after faults Trajectory sensitivity method Whale optimization algorithm.

Cite This Article

Shaik Rizwan1, "Reactive Power Optimization Approach for Hybrid AC/DC Networks Incorporating Multiple Wind Power Levels," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 10, Oct 2025.

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Publication Date

10/23/2025

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