Optimization and Control of Hybrid Energy System with Fuzzy Logic

Session

Mechatronics, System Engineering and Robotics

Description

Conventional energy systems face major challenges such as the depletion of nonrenewable fossil fuels, low energy efficiency, and environmental pollution. As a result, decentralized energy systems have emerged as a new trend. The implementation of hybrid systems, which consist of multiple energy sources, can improve system performance and reduce maintenance and replacement costs by complementing each other. However, controlling such a hybrid energy system represents a nonlinear problem due to the variability and nonlinear characteristics of its components. Therefore, a non-classical control method is required for optimal management. This study proposes a microgrid composed of a small hydropower plant with reservoir, a photovoltaic system, batteries, and loads, focusing on the modeling and control of this system. The study applies a fuzzy logic controller as the control methodology to monitor generation, load, and battery conditions, as well as to control water pumps for efficient energy management. The results demonstrate the effectiveness of the proposed fuzzy logic-based system in ensuring the optimal operation of batteries and water pumps under different working conditions.

Keywords:

hybrid system, microgrid, fuzzy logic controller, optimization, modeling

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-982-41-2

Location

UBT Lipjan, Kosovo

Start Date

25-10-2025 9:00 AM

End Date

26-10-2025 6:00 PM

DOI

10.33107/ubt-ic.2025.287

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Oct 25th, 9:00 AM Oct 26th, 6:00 PM

Optimization and Control of Hybrid Energy System with Fuzzy Logic

UBT Lipjan, Kosovo

Conventional energy systems face major challenges such as the depletion of nonrenewable fossil fuels, low energy efficiency, and environmental pollution. As a result, decentralized energy systems have emerged as a new trend. The implementation of hybrid systems, which consist of multiple energy sources, can improve system performance and reduce maintenance and replacement costs by complementing each other. However, controlling such a hybrid energy system represents a nonlinear problem due to the variability and nonlinear characteristics of its components. Therefore, a non-classical control method is required for optimal management. This study proposes a microgrid composed of a small hydropower plant with reservoir, a photovoltaic system, batteries, and loads, focusing on the modeling and control of this system. The study applies a fuzzy logic controller as the control methodology to monitor generation, load, and battery conditions, as well as to control water pumps for efficient energy management. The results demonstrate the effectiveness of the proposed fuzzy logic-based system in ensuring the optimal operation of batteries and water pumps under different working conditions.