Investigation on Sizing of Voltage Source for a Battery Energy Storage System in Microgrid With Renewable Energy Sources

Ganesan, Swaminathan; Subramaniam, Umashankar; Ghodke, Ajit A.; Elavarasan, Rajvikram Madurai; Kannadasan, Raju; Bhaskar, Mahajan Sagar

doi:10.1109/access.2020.3030729

Cited by 73 publications

(22 citation statements)

References 26 publications

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“…The basic functions of BESS are charging, discharging, and storage processes, and their characteristics are based on the following conditions [66]: The BESS based power electronic converter is employed for frequency regulation and load changes [67]. To attain a suitable operation, each of these conditions are to be considered, and the behavior of the battery is depending on three factors:…”

Section: Bessmentioning

confidence: 99%

An Evaluation on Wind Energy Potential Using Multi-Objective Optimization Based Non-Dominated Sorting Genetic Algorithm III

et al. 2021

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Wind energy is an abundant renewable energy resource that has been extensively used worldwide in recent years. The present work proposes a new Multi-Objective Optimization (MOO) based genetic algorithm (GA) model for a wind energy system. The proposed algorithm consists of non-dominated sorting which focuses to maximize the power extraction of the wind turbine, minimize the cost of generating energy, and the lifetime of the battery. Additionally, the performance characteristics of the wind turbine and battery energy storage system (BESS) are analyzed specifically torque, current, voltage, state of charge (SOC), and internal resistance. The complete analysis is carried out in the MATLAB/Simulink platform. The simulated results are compared with existing optimization techniques such as single-objective, multi-objective, and non-dominating sorting GA II (Genetic Algorithm-II). From the observed results, the non-dominated sorting genetic algorithm (NSGA III) optimization algorithm offers superior performance notably higher turbine power output with higher torque rate, lower speed variation, reduced energy cost, and lesser degradation rate of the battery. This result attested to the fact that the proposed optimization tool can extract a higher rate of power from a self-excited induction generator (SEIG) when compared with a conventional optimization tool.

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Section: Bessmentioning

confidence: 99%

An Evaluation on Wind Energy Potential Using Multi-Objective Optimization Based Non-Dominated Sorting Genetic Algorithm III

et al. 2021

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“…We are in fact becoming more and more hungry for electric power: on one hand, this is provoked by the constant increase in the world population, and consequently the urban centers are increasing in size with more people living in cities; on the other hand, the hunger for energy, especially in developing countries always in need of new infrastructure such as hospitals, schools, and transport, comes from the middle class. Thus, the increased demand of energy should be addressed by both significantly increasing the use of renewable energy sources and improving the efficiency of energy systems [2]. Currently, the most abundant renewable energy sources are wind and solar [3,4]; for both of them, adequate conversion equipment is needed.…”

Section: Introductionmentioning

confidence: 99%

High-Performance 3-Phase 5-Level E-Type Multilevel–Multicell Converters for Microgrids

et al. 2021

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This paper focuses on the analysis and design of two multilevel–multicell converters (MMCs), named 3-phase 5-Level E-Type Multilevel–Multicell Rectifier (3Φ5L E-Type MMR) and 3-phase 5-Level E-Type Multilevel–Multicell Inverter (3Φ5L E-Type MMI) to be used in microgrid applications. The proposed 3-phase E-Type multilevel rectifier and inverter have each phase being accomplished by the combination of two I-Type topologies connected to the T-Type topology. The two cells of each phase of the rectifier and inverter are connected in interleaving using an intercell transformer (ICT) in order to reduce the volume of the output filter. Such an E-Type topology arrangement is expected to allow both the high efficiency and power density required for microgrid applications, as well as being capable of providing good performance in terms of quality of the voltage and current waveforms. The proposed hardware design and control interface are supported by the simulation results performed in Matlab/Simulink. The analysis has been then validated in terms of an experimental campaign performed on the converter prototype, which presented a power density of 8.4 kW/dm3 and a specific power of 3.24 kW/kg. The experimental results showed that the proposed converter can achieve a peak efficiency of 99% using only silicon power semiconductors.

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“…Recently, the demand for electricity of the power system makes the transition into renewable energy sources an inevitable choice due to the rising prices of energy, fossil fuel depletion, and the increasing concerns about the environment [1][2][3]. Owing to the volatility, intermittency, and uncertainty of renewable energy, they bring great challenges to the security and stability of the power network [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

A Duality Based Quasi-Steady-State Model of Three-Phase Five-Limb Sen Transformer

Zhou

Han

et al. 2021

IEEE Access

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A three-phase five-limb transformer is a potential application form of the Sen Transformer (ST), especially for the scenarios with significantly unbalanced load conditions. This paper proposes a quasi-steady-state model of three-phase five-limb ST (TPFLST) based on duality. Firstly, an equivalent circuit model that takes into account the eddy current effect and the coupling effect involving the magnetic circuit can be derived according to the equivalent magnetic circuit of the TPFLST. The iron-core of the TPFLST may be represented by the parallel combination of the resistances reflecting the power loss of the iron-core and the saturable inductances considering the ferromagnetic hysteresis in virtue of the principle of duality. Subsequently, an electric circuit model of the voltage and current of each winding for the TPFLST is able to be accomplished on the basis of the electrical connection between the TPFLST and the external systems in accordance with Kirchhoff's voltage and current law. Consequently, a quasi-steady-state model of the TPFLST which considers the coupling relationship involving the magnetic and electric circuits can be formed by combining the equivalent circuit model and the electric circuit model. With the help of MATLAB, the effectiveness of the proposed model may be verified by comparing the results about power flow control including power, voltage, and current with the ones from the existing literature. Furthermore, the TPFLST is found to be better-suited for the unbalanced load condition according to a comparison among the unbalanced degrees of output currents for the STs with different core structures under unbalanced load conditions.

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Investigation on Sizing of Voltage Source for a Battery Energy Storage System in Microgrid With Renewable Energy Sources

Cited by 73 publications

References 26 publications

An Evaluation on Wind Energy Potential Using Multi-Objective Optimization Based Non-Dominated Sorting Genetic Algorithm III

An Evaluation on Wind Energy Potential Using Multi-Objective Optimization Based Non-Dominated Sorting Genetic Algorithm III

High-Performance 3-Phase 5-Level E-Type Multilevel–Multicell Converters for Microgrids

A Duality Based Quasi-Steady-State Model of Three-Phase Five-Limb Sen Transformer

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