An improved model-based interlink converter control design in hybrid AC/DC microgrids

Aryani, Dwi Riana; Adi, Faya Safirra; Kim, Jung-Su; Song, Hwachang

doi:10.1016/j.egyr.2022.10.146

Cited by 5 publications

(3 citation statements)

References 13 publications

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“…In [14], a neural network controller based on the Legendre transform is presented for use in grid-connected mode to enhance power quality. In [15], a vector controller based on an ANN is developed with the goal of connecting household solar PV systems to the public power grid. The controller lessens the amount of harmonic material, and it increases adaptability in unknown situations.…”

Section: Literature Reviewmentioning

confidence: 99%

Particle Swarm Optimization Based Super Twisting Sliding Mode Controller MPPT Algorithm Design for Solar PV System

Sathisha, Abdul Kareem , Ganesh Aithal

2023

tjjpt

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To maximise energy harvest while keeping the solar photovoltaic (PV) system stable, proper regulation is essential. In this study, we explore the state-of-the-art in solar PV system management and offer a fresh method: Super Twisting Sliding Mode Controller (STSMC) using Particle Swarm Optimisation (PSO). The suggested method enhances control performance by combining the stability of Sliding Mode Control (SMC) with the optimisation skills of PSO. The goal is to improve solar PV systems' fault tolerance, resilience against uncertainties and disturbances, and Maximum Power Point Tracking (MPPT) accuracy. Results show that the suggested PSO-based STSMC is superior to traditional methods of control. Effective maximum power point tracking (MPPT) is made possible by combining PSO optimisation with the SMC structure. This allows for precise MPPT tracking regardless of the sun irradiation or ambient temperature. The technique also improves the system's fault tolerance and robustness by dealing with uncertainty and disturbances efficiently in real time. The study highlights limitations, such as the use of idealised settings, and provides recommendations for further research to enhance the suggested method. The MATLAB/Simulink Simulation Tool is used for the research.

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Section: Literature Reviewmentioning

confidence: 99%

Particle Swarm Optimization Based Super Twisting Sliding Mode Controller MPPT Algorithm Design for Solar PV System

Sathisha, Abdul Kareem , Ganesh Aithal

2023

tjjpt

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“…Converters are commonly employed in power production systems that utilize renewable energy sources, including wind turbines (Xie et al, 2020;Bernal-Perez, Añó-Villalba and Blasco-Gimenez, 2021;Achitaev et al, 2024), ocean energy (Wang et al, 2023), solar power plants (Buzzio et al, 2023;Ingilala and Vairavasundaram, 2023), Nanogrid (Sun et al, 2022;Samiullah et al, 2023), micro-grids (Estabragh, Dastfan and Rahimiyan, 2021;Aryani et al, 2022;Heidari, Hatami and Eskandari, 2022;Molaee, Rokrok and Doostizadeh, 2022), energy harvesting systems (Yang, Pian and Liu, 2019;Eguchi et al, 2020Eguchi et al, , 2021Silveira et al, 2023), energy storage (Silveira et al, 2021;Li et al, 2022), specific instances in electric vehicles (Turksoy, Yilmaz and Teke, 2021;Delcy et al, 2022;Nahin et al, 2022;Seyezhai et al, 2022), and various other applications.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of a Rectifier Performance in Power Generation Applications

Sri Agustina,

Wahab,

Djulil Amri

et al. 2024

ASIIMETRIK

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Electrical energy's significance is critical to human life, as seen by the rising usage of this resource. Electricity-consuming machinery and technology are developing at an accelerating rate. A substantial electrical power supply is required to achieve these requirements. An effective method to address this issue is to use a generator set powered by an electric motor. This generator necessitates the use of a converter, which serves the purpose of transforming alternating waves (AC) into direct waves (DC), generally referred to as a rectifier. The rectifier's unsatisfactory performance necessitates the need for this research, which seeks to develop and construct a rectifier and subsequently compare its performance utilizing two distinct current sources. Rectifier performance is obtained through the utilization of direct computation and measuring methods. Two sources charge the battery: direct current from the motor and alternating current from the power grid. According to the test results, the converter using an electric power plant source had a higher current value. On the generator, the battery charges up to 13.4 volts in 55 minutes, which is 5 minutes quicker than on the PLN source.

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“…The limitation of this control is in the ongoing power exchange between the two MGs, which causes extra power loss. To deal with this problem, an updated control approach has been put forth in other studies [35][36][37][38]. In this approach, the power flow between two MGs only occurs when they are operating at a certain threshold.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Driving Training and Particle Swarm Optimization Algorithm-Based Optimal Control for Performance Improvement of Microgrids

Zaki¹,

Hasanien

Alharbi

et al. 2023

Energies

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This paper discusses the importance of microgrids in power systems and introduces a new method for enhancing their performance by improving the transient voltage response in the face of disturbances. The method involves using a hybrid optimization approach that combines driving training-based and particle swarm optimization techniques (HDTPS). This hybrid approach is used to fine-tune the system’s cascaded control scheme parameters, based on proportional–integral–accelerator (PIA) and proportional–integral controllers. The optimization problem is formulated using a central composite response surface methodology (CCRSM) to create an objective function. To validate the suggested control methodology, PSCAD/EMTDC software is used to carry out the simulations. The simulations explore various scenarios wherein the microgrid is transformed into an islanded system and is subjected to various types of faults and load changes. A comparison was made between the two proposed optimized controllers. The simulation results demonstrate the effectiveness of using a PIA-optimized controller; it improved the microgrid performance and greatly enhanced the voltage profile. In addition, the two controllers’ gains were optimized using only PSO to ensure that the outcomes of the HDTPS model demonstrated the same results. Finally, a comparison was made between the two optimization techniques (HDTPS and PSO); the results show a better impact when using the HDTPS model for controller optimization.

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An improved model-based interlink converter control design in hybrid AC/DC microgrids

Cited by 5 publications

References 13 publications

Particle Swarm Optimization Based Super Twisting Sliding Mode Controller MPPT Algorithm Design for Solar PV System

Particle Swarm Optimization Based Super Twisting Sliding Mode Controller MPPT Algorithm Design for Solar PV System

Comparative Analysis of a Rectifier Performance in Power Generation Applications

Hybrid Driving Training and Particle Swarm Optimization Algorithm-Based Optimal Control for Performance Improvement of Microgrids

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