Dynamic modeling and experimental validation of a standalone hybrid microgrid system in Fukuoka, Japan

Jacob, Etoju; Farzaneh, Hooman

doi:10.1016/j.enconman.2022.116462

Cited by 8 publications

(4 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The other two conditions are based on the operation of the model equation. Finally, optimization techniques are used to solve the obtained equations and estimate the parameters [4], [5]. A PV system encompasses the devices required for solar power generation, including solar cells and inverters.…”

Section: Methods 21 Photovoltaic Systemmentioning

confidence: 99%

Design and development of an Artificial Neural Network-based Maximum Power Point Tracker (ANN_MPPT) for the residential solar photovoltaic

Torikai,

Farzaneh

2023

Proceedings of International Exchange and Innovation Conference on Engineering &Amp; Sciences (IEICES)

View full text Add to dashboard Cite

In recent years, solar power generation systems have been evolving from the perspective of mitigating global warming. The Maximum Power Point Tracking (MPPT) method is a notable method garnering attention. In this study, two MPPT methods were compared using MATLAB/Simulink. One method employed the perturb and observe technique, while the other utilized Artificial Neural Networks (ANN). The comparison results revealed that the power generation system using the ANN-based approach generated more electricity than the perturb and observe method.

show abstract

Section: Methods 21 Photovoltaic Systemmentioning

confidence: 99%

Design and development of an Artificial Neural Network-based Maximum Power Point Tracker (ANN_MPPT) for the residential solar photovoltaic

Torikai,

Farzaneh

2023

Proceedings of International Exchange and Innovation Conference on Engineering &Amp; Sciences (IEICES)

View full text Add to dashboard Cite

show abstract

“…Two main configurations are considered based on the standard definition of hybrid renewable microgrids. The off-grid configuration deals with the HRES that is not connected to the utility grid, and the reliability of the electricity generation is ensured by using an energy storage system like a battery bank [30]. On the other hand, the grid-tied configuration allows for the HRES to be connected to the electricity grid and sell back surplus electricity, using a feed-in-tariff scheme [31].…”

Section: System Configuration and Scenario Definitionmentioning

confidence: 99%

Quantifying the Climate Co-Benefits of Hybrid Renewable Power Generation in Indonesia: A Multi-Regional and Technological Assessment

Suliman,

Farzaneh,

Zusman

et al. 2024

Climate

Self Cite

View full text Add to dashboard Cite

Quantifying the co-benefits of renewable energy investments can aid policymakers in identifying technologies capable of generating significant social, economic, and environmental benefits to effectively offset mitigation costs. Although there has been a growing body of work evaluating co-benefits, few studies have compared the potential co-benefits of several technologies across different regions in key countries. This study fills this gap by formulating a new modeling structure to assess the environmental–health–economic co-benefits of hybrid renewable energy systems (HRESs) in different parts of Indonesia. The proposed model is unique in that it incorporates various techno-economic activities to assess air quality, health, and economic benefits and then presents results as part of a cost–benefit analysis. From the intervention scenario, the modeling results show that installing 0.5 GW grid-connected solar PV, 100 MW of wind turbines, and a 100 MW biomass generator to cover a total of 1.64 million residential load units in the Bali province can avoid GHGs, PM2.5, disability-adjusted life years (DALYs), and provide health savings of 1.73 Mt/y, 289.02 t/y, 1648, and 6.16 million USD/y, respectively. In addition, it shows that the payback period is enhanced by one year, while the net present value is increased by 14.6%. In Jakarta, a 3 GW solar PV plant and a 100 MW biomass generator that supply 5.8 million residential load units can deliver 32,490 averted DALYs and 652.81 million USD/y of health care savings. Nationally, the contribution of renewable energy to the electricity supply mix could grow from the 2020 baseline of 18.85% to 26.93%, reducing dependence on oil and coal contribution by 5.32%.

show abstract

“…Direct current (DC) microgrids are becoming an alternative to the alternating current (AC) grid due to their high efficiency and the easy integration of renewable energy sources and loads. [1][2][3][4] Among the DC microgrids, bi-polar grids are becoming more popular due to the easy integration of many distributed energy resources, more power handling capability, reliability, low bus currents and higher efficiency. [5][6][7] The DC-DC converter topologies proposed for medium and high voltage for microgrids are oversized and control is complex.…”

Section: Introductionmentioning

confidence: 99%

Control of three‐level bidirectional buck‐boost converter for battery energy storage system in bi‐polar DC microgrid

Dodda,

Sandepudi

2024

Energy Storage

View full text Add to dashboard Cite

This paper deals with the model predictive current control of a three‐level bidirectional buck‐boost converter for a battery energy storage system in a bi‐polar direct current (DC) microgrid. It comprises a solar photovoltaic system, a wind energy system, a battery and DC loads. The proposed control scheme provides voltage balance and voltage regulation at the bi‐polar DC link during dynamic operating conditions, such as variations in solar irradiance, wind velocity and load. Predictive current control utilises the converter's discrete behaviour to identify the suitable switching states that minimise the cost function. Furthermore, bidirectional power flow capabilities allow the connection of energy storage devices, such as batteries and ultra‐capacitors, to the bi‐polar DC microgrid. The proposed system is verified through simulations and validated on a lab‐scale prototype. The results have been found satisfactory with respect to steady‐state error, peak overshoot, and settling time.

show abstract

Dynamic modeling and experimental validation of a standalone hybrid microgrid system in Fukuoka, Japan

Cited by 8 publications

References 51 publications

Design and development of an Artificial Neural Network-based Maximum Power Point Tracker (ANN_MPPT) for the residential solar photovoltaic

Design and development of an Artificial Neural Network-based Maximum Power Point Tracker (ANN_MPPT) for the residential solar photovoltaic

Quantifying the Climate Co-Benefits of Hybrid Renewable Power Generation in Indonesia: A Multi-Regional and Technological Assessment

Control of three‐level bidirectional buck‐boost converter for battery energy storage system in bi‐polar DC microgrid

Contact Info

Product

Resources

About