Battery charging and discharge systems require an ideal control system for improved performance and extended battery life as it is crucial in the usage of renewable energy and electric cars. One of the main problems of this system is how to achieve the best control of the bidirectional converter for power flow regulation in the source and battery in order to make it of fast response nature, high efficiency, and good stability during various operating conditions. In this paper, it is proposed to make use of the utilization of the application of the Electric Charged Particles Optimization (ECPO) algorithm as the optimizing method in the control system of the bidirectional converter. ECPO is a population-based method based on the inspiration of the interaction between electrically charged particles that can find optimal solutions quicker and more economically than traditional optimization methods. The simulation test under various conditions with Simulink shows that the settling time is smaller, response and steady state error almost 0 in the ECPO system. According to the test results, the ECPO system can confirm a measurable enhancement in the stability and robustness of the system.
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