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The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

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Published on: October 14, 2017

Optimal coordinated voltage control in active distribution networks using backtracking search algorithm.

Tengku Juhana Tengku Hashim¹, Azah Mohamed²

¹Department of Electrical Power Engineering, Universiti Tenaga Nasional, UNITEN, Kajang, Malaysia.

|October 10, 2017

Summary

The backtracking search algorithm (BSA) effectively manages voltage rise in active distribution networks by optimizing generator settings. BSA outperforms particle swarm optimization (PSO) in minimizing system losses and voltage deviations.

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Area of Science:

Electrical Engineering
Power Systems
Optimization Techniques

Background:

The integration of distributed generation (DG) creates active distribution networks with bidirectional power flow.
Voltage rise is a significant technical challenge in active distribution networks with DGs.
Coordinated voltage control strategies are essential for managing these networks.

Purpose of the Study:

To apply the backtracking search algorithm (BSA) for optimal coordinated voltage control in distribution systems.
To address the voltage rise issue by optimizing power factor, on-load tap-changer, and generation curtailment.
To minimize total system losses and voltage deviation using a multi-objective function.

Main Methods:

Formulation of a multi-objective function to minimize losses and voltage deviation.
Application of the backtracking search algorithm (BSA), a novel optimization technique.
Integration of the MATPOWER load flow algorithm within the MATLAB environment.
Comparison of BSA with particle swarm optimization (PSO) for performance evaluation.

Main Results:

The backtracking search algorithm (BSA) demonstrated superior performance compared to particle swarm optimization (PSO).
BSA achieved a better fitness value, indicating more effective optimization.
BSA exhibited a faster convergence rate, leading to more efficient problem-solving.

Conclusions:

The backtracking search algorithm (BSA) is a highly effective tool for coordinated voltage control in active distribution networks.
BSA provides a robust solution for mitigating voltage rise issues while minimizing system losses and voltage deviations.
The study confirms BSA's advantage over PSO in optimizing power factor, tap-changer settings, and generation curtailment.