Intelligence-Based Battery Management and Economic Analysis of an Optimized Dual-Vanadium Redox Battery (VRB) for a Wind-PV Hybrid System

Fathima, Amjed Hina; Palanisamy, K.; Padmanaban, Sanjeevikumar; Subramaniam, Umashankar

doi:10.3390/en11102785

Cited by 11 publications

(4 citation statements)

References 39 publications

(58 reference statements)

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“…Some works addressed linear models to perform solar irradiation forecasting. Fathima et al [21] employed an intelligent battery management system to provide energy storage for a wind and solar hybrid power system. The optimization of the battery size is performed through the use of a bat optimization algorithm [63] and the forecasts are achieved by the use of statistical and multiple linear regression.…”

Section: Linear Forecasting Modelsmentioning

confidence: 99%

“…However, it is important to highlight the strengths and weaknesses of each method. Some works, such as [21,40], employed the statistical linear models Multiple Linear Regression and ARIMA, respectively. Even though these methods are interpretable and less complex, they assume a linear correlation structure in data.…”

Section: Strengths and Weaknesses Of Forecasting Modelsmentioning

confidence: 99%

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Forecasting Methods for Photovoltaic Energy in the Scenario of Battery Energy Storage Systems: A Comprehensive Review

de Oliveira,

de Mattos Neto,

Siqueira

et al. 2023

Energies

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The worldwide appeal has increased for the development of new technologies that allow the use of green energy. In this category, photovoltaic energy (PV) stands out, especially with regard to the presentation of forecasting methods of solar irradiance or solar power from photovoltaic generators. The development of battery energy storage systems (BESSs) has been investigated to overcome difficulties in electric grid operation, such as using energy in the peaks of load or economic dispatch. These technologies are often applied in the sense that solar irradiance is used to charge the battery. We present a review of solar forecasting methods used together with a PV-BESS. Despite the hundreds of papers investigating solar irradiation forecasting, only a few present discussions on its use on the PV-BESS set. Therefore, we evaluated 49 papers from scientific databases published over the last six years. We performed a quantitative analysis and reported important aspects found in the papers, such as the error metrics addressed, granularity, and where the data are obtained from. We also describe applications of the BESS, present a critical analysis of the current perspectives, and point out promising future research directions on forecasting approaches in conjunction with PV-BESS.

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Section: Linear Forecasting Modelsmentioning

confidence: 99%

Section: Strengths and Weaknesses Of Forecasting Modelsmentioning

confidence: 99%

Forecasting Methods for Photovoltaic Energy in the Scenario of Battery Energy Storage Systems: A Comprehensive Review

de Oliveira,

de Mattos Neto,

Siqueira

et al. 2023

Energies

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show abstract

“…Kalman filter (EKF) for capacity monitoring [36], SOC estimation considering the capacity fading [37], and time flow control for charging using solar cells [38] or wind power [39].…”

Section: Mathematical Modellingmentioning

confidence: 99%

Redox flow batteries for energy storage: their promise, achievements and challenges

Arenas

León

Walsh

2019

Current Opinion in Electrochemistry

144

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Redox flow batteries continue to be developed for utility-scale energy storage applications. Progress on standardisation, safety and recycling regulations as well as financing has helped to improve their commercialisation. The technical progress of redox flow batteries has not considered adequately the significance of electrolyte flow velocity, mass transfer and plug flow reactor modelling, despite steps in the right direction. 3D simulations of fluid flow, pressure drop, current distribution and mechanical resistance using commercial software are becoming more common, but satisfactory validation by experiments is still unusual. The majority of research tends to report short term studies on small electrodes, often in poorly defined flow channels; long term evaluation of electrode and membrane durability on a pilot scale is needed. Digital imaging of electrode structure using X-ray computed tomography is increasingly being used. Much activity is directed to organic and non-aqueous systems. However, scale-up and high, sustained charge capacity using electrolytes of moderate cost which are environmentally acceptable to source, store, transport and handle require considerable attention. Recommendations for future work are discussed.

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“…Similarly, the Society of Automotive Engineers (SAE) requirements-namely, SAEJ1772, SAEJ2293, and SAEJ2836-define the operating voltage levels for charging cords and connectors. The proposed multiport hybrid charging station is developed at an operating power of 12 kW by adapting the DC level 1 charging standard and type 1 SAEJ1772 connector [24]. The power conversion efficiency of the charging station is improved by effectively utilizing the generated power with the proper energy management strategy (EMS) technique.…”

Section: Esu (Battery)mentioning

confidence: 99%

Photovoltaic Integrated Hybrid Microgrid Structured Electric Vehicle Charging Station and Its Energy Management Approach

et al. 2019

Self Cite

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A hybrid microgrid-powered charging station reduces transmission losses with better power flow control in the modern power system. However, the uncoordinated charging of battery electric vehicles (BEVs) with the hybrid microgrid results in ineffective utilization of the renewable energy sources connected to the charging station. Furthermore, planned development of upcoming charging stations includes a multiport charging facility, which will cause overloading of the utility grid. The paper analyzes the following technical issues: (1) the energy management strategy and converter control of multiport BEV charging from a photovoltaic (PV) source and its effective utilization; (2) maintenance of the DC bus voltage irrespective of the utility grid overloading, which is caused by either local load or the meagerness of PV power through its energy storage unit (ESU). In addition, the charge controller provides closed loop charging through constant current and voltage, and this reduces the charging time. The aim of an energy management strategy is to minimize the usage of utility grid power and store PV power when the vehicle is not connected for charging. The proposed energy management strategy (EMS) was modeled and simulated using MATLAB/Simulink, and its different modes of operation were verified. A laboratory-scale experimental prototype was also developed, and the performance of the proposed charging station was investigated.

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Intelligence-Based Battery Management and Economic Analysis of an Optimized Dual-Vanadium Redox Battery (VRB) for a Wind-PV Hybrid System

Cited by 11 publications

References 39 publications

Forecasting Methods for Photovoltaic Energy in the Scenario of Battery Energy Storage Systems: A Comprehensive Review

Forecasting Methods for Photovoltaic Energy in the Scenario of Battery Energy Storage Systems: A Comprehensive Review

Redox flow batteries for energy storage: their promise, achievements and challenges

Photovoltaic Integrated Hybrid Microgrid Structured Electric Vehicle Charging Station and Its Energy Management Approach

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