Application of an advanced objective function to minimize active power losses
DOI:
https://doi.org/10.15588/1607-6761-2024-4-1Keywords:
distributed generation sources, renewable energy, reactive power compensation devices, electrical network, losses, implementationAbstract
Purpose of the work. The improvement of the method for optimizing active power losses in networks using dynamic control of capacitor bank parameters, taking into account the variability of generation and loads. Research methods. Analysis of an electrical system modeled in MATLAB using elements of renewable energy sources and capacitor banks. The study of optimizing active power losses is carried out by using an improved objective function that includes the multifactorial nature of the system and certain restrictions. A comparison of active losses and their changes in the presence of renewable energy sources and capacitor banks in the electrical network is carried out.
Results obtained. The obtained modeling results demonstrate the practical applicability of the proposed method for reducing active losses in the system. This, in turn, leads to a reduction in costs for network operation and maintenance, a reduction in energy losses, and an improvement in the quality of energy supply. Reducing active losses contributes to increasing the economic efficiency of the power system.
Modeling in MATLAB/Simulink provides the ability to conduct analysis to assess the behavior of the system under various operating conditions, such as peak loads or sharp fluctuations in generation. This allows to ensure the flexibility and adaptability of the power system to real operating conditions.
The results obtained also contribute to solving sustainable development problems, as they ensure effective integration of RES without deteriorating the stability and parameters of the network.
Scientific novelty. A comprehensive modeling of the power system operation is proposed, taking into account the dynamic control of capacitor units and the integration of renewable energy sources (RES), which allows to assess the effectiveness of various compensation measures and their impact on active losses. The scientific novelty lies in creating a model that takes into account the variable nature of the load, transmission line parameters and unstable RES generation, providing a comprehensive approach to optimizing the operation of the power system.
Practical value. Improving the objective function to minimize active power losses by adding capacitor banks to the generation function, changing the generation of renewable energy sources, and changing the load of the PV system (active and reactive), this allowed a more accurate assessment of the impact of reactive power and RES integration on active losses, and increased the efficiency of power system management by taking into account the real operating conditions of the system (load and generation dynamics).
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