Optimization Of Tap Changer Transformer Settings Using Artificial Bee Colony To Minimize Power Losses (Case Study: PT. Inalum)

by ADMIN 127 views

Optimization of Tap Changer Transformer Settings Using Artificial Bee Colony to Minimize Power Losses: Case Study of PT. Inalum

Introduction

The electrical energy distribution system is a complex network that requires precise control and optimization to ensure efficient and reliable power supply. One of the critical components in this system is the transformer, which plays a vital role in regulating voltage levels and balancing power flow. The tap changer, a feature of the transformer, allows for voltage settings and improves the voltage profile in the network. However, the position of the tap changer on the transformer affects impedance, which in turn affects the flow of power in the system. Therefore, optimizing the tap changer transformer settings is essential to minimize power losses and improve system efficiency.

Background

Transformer is an essential component in the electrical energy distribution system, and its performance directly affects the overall efficiency and reliability of the system. The tap changer, a feature of the transformer, allows for voltage settings and improves the voltage profile in the network. However, the position of the tap changer on the transformer affects impedance, which in turn affects the flow of power in the system. Changing the position of the tap changer will directly change the voltage profile on the bus related to the transformer. The impact of changes in the tap changer will also affect the flow of system power and the amount of power supplied. Changes in the voltage and flow of power in the system will affect the current flowing between buses, as well as impact on other buses and loss of system power.

Case Study of PT. Inalum

This study examines the value settings of tap changers transformers on the network system of PT. Inalum (Persero) Kuala Tanjung. The transformer at the company already has a predetermined tap changer value. This study aims to evaluate each tap changer value that has been set in the transformer using the Artificial Bee Colony (ABC) algorithm to get a new and optimal tap changer value by minimizing power losses.

Methods and Analysis

The ABC algorithm is used to find the optimal tap changer value. This algorithm mimics the behavior of bees in finding food sources. Every bee in the algorithm represents a potential solution for the tap changer value. The bees will explore the solution space and find the optimal tap changer value based on the objective function that targets the minimization of power losses.

After getting the optimal tap changer value, the study of power flow is conducted to analyze changes in the tap changer value. The results of this study include:

  • Power loss (Active and Reactive Power Losses)
  • Total power supplied to the system
  • Voltage and current profile

Results and Discussion

The results of the study show that the setting of the tap changer value that is optimized using the ABC algorithm succeeded in reducing power losses. Active power losses are reduced from 1666.1 KW to 1586 KW (80.1 KW or 4.8%), and reactive power losses are reduced from 56741.9 KVAR to 54042.6 KVAR (2699.3 KVAR or 4.75%).

Conclusion

The use of the ABC algorithm in optimizing the value settings of tap changers transformers at PT. Inalum proved effective in minimizing power losses. This algorithm can be a good solution to improve the efficiency and effectiveness of the electrical energy distribution system.

Benefits

The results of this study provide significant benefits, including:

  • Increasing energy efficiency: Directly reducing power losses has a positive impact on energy efficiency in the distribution system.
  • Save operational costs: Energy savings can reduce the company's operational costs, such as energy and maintenance costs.
  • Increasing system reliability: A more efficient and stable system will increase the reliability of the electrical energy distribution system.

Recommendation

Further research can be done to expand the application of the ABC algorithm in settings tap changer transformers, for example:

  • Apply the ABC algorithm to the distribution system with a larger and more complex scale.
  • Integrates the ABC algorithm with a monitoring and control system for settings tap changer which is dynamic and responsive to changes in system conditions.

Suggestion

The results of this study can be a reference for PT. Inalum in optimizing the value setting of tap changers transformers to achieve higher energy efficiency and reduce power losses. The use of ABC algorithms can be an effective and innovative solution in facing challenges in the fields of energy and technology.

Future Work

The study can be extended to other areas, such as:

  • Applying the ABC algorithm to other types of transformers
  • Integrating the ABC algorithm with other optimization algorithms
  • Developing a real-time monitoring and control system for tap changer transformers

Limitations

The study has some limitations, including:

  • The study is limited to a single case study, and further research is needed to generalize the results.
  • The study assumes that the ABC algorithm is the best optimization algorithm for this problem, and further research is needed to compare the performance of different algorithms.

Conclusion

In conclusion, the use of the ABC algorithm in optimizing the value settings of tap changers transformers at PT. Inalum proved effective in minimizing power losses. This algorithm can be a good solution to improve the efficiency and effectiveness of the electrical energy distribution system. The results of this study provide significant benefits, including increasing energy efficiency, saving operational costs, and increasing system reliability. Further research can be done to expand the application of the ABC algorithm in settings tap changer transformers.
Q&A: Optimization of Tap Changer Transformer Settings Using Artificial Bee Colony

Frequently Asked Questions

Q: What is the Artificial Bee Colony (ABC) algorithm?

A: The ABC algorithm is a metaheuristic optimization technique that mimics the behavior of bees in finding food sources. It is used to find the optimal solution for a given problem by exploring the solution space and selecting the best solution based on a set of criteria.

Q: How does the ABC algorithm work in optimizing tap changer transformer settings?

A: The ABC algorithm works by representing each tap changer value as a potential solution. The algorithm then explores the solution space by generating new solutions based on the current best solution. The algorithm selects the best solution based on a set of criteria, such as minimizing power losses.

Q: What are the benefits of using the ABC algorithm in optimizing tap changer transformer settings?

A: The benefits of using the ABC algorithm include:

  • Increasing energy efficiency: Directly reducing power losses has a positive impact on energy efficiency in the distribution system.
  • Save operational costs: Energy savings can reduce the company's operational costs, such as energy and maintenance costs.
  • Increasing system reliability: A more efficient and stable system will increase the reliability of the electrical energy distribution system.

Q: Can the ABC algorithm be used in other areas of the electrical energy distribution system?

A: Yes, the ABC algorithm can be used in other areas of the electrical energy distribution system, such as:

  • Optimizing power flow: The ABC algorithm can be used to optimize power flow in the distribution system by selecting the best tap changer value.
  • Reducing voltage fluctuations: The ABC algorithm can be used to reduce voltage fluctuations in the distribution system by selecting the best tap changer value.

Q: What are the limitations of the ABC algorithm?

A: The limitations of the ABC algorithm include:

  • Computational complexity: The ABC algorithm can be computationally complex, especially for large-scale problems.
  • Convergence: The ABC algorithm may not converge to the optimal solution, especially if the problem is non-convex.

Q: Can the ABC algorithm be used in real-time monitoring and control systems?

A: Yes, the ABC algorithm can be used in real-time monitoring and control systems to optimize tap changer transformer settings in real-time.

Q: What are the future research directions for the ABC algorithm in optimizing tap changer transformer settings?

A: The future research directions for the ABC algorithm include:

  • Applying the ABC algorithm to other types of transformers: The ABC algorithm can be applied to other types of transformers, such as distribution transformers and transmission transformers.
  • Integrating the ABC algorithm with other optimization algorithms: The ABC algorithm can be integrated with other optimization algorithms, such as genetic algorithms and particle swarm optimization algorithms.
  • Developing a real-time monitoring and control system for tap changer transformers: A real-time monitoring and control system can be developed to optimize tap changer transformer settings in real-time.

Conclusion

In conclusion, the ABC algorithm is a powerful tool for optimizing tap changer transformer settings in the electrical energy distribution system. The algorithm can be used to minimize power losses, increase energy efficiency, and reduce operational costs. However, the algorithm has some limitations, including computational complexity and convergence. Future research directions include applying the algorithm to other types of transformers, integrating it with other optimization algorithms, and developing a real-time monitoring and control system.