Development of Battery Monitoring System in Smart Microgrid Based on Internet of Things (IoT)

Friansa, Koko; Haq, Irsyad Nashirul; Santi, Bening Maria; Kurniadi, Deddy; Leksono, Edi; Yuliarto, Brian

doi:10.1016/j.proeng.2017.03.077

Cited by 84 publications

(25 citation statements)

References 5 publications

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“…Guidelines for measurement data exchange and analysis'. Recent contributions based on this IEC standard can be found in [33], where a battery monitoring system based on the IoT is proposed. This IEC describes the general guidelines for monitoring and analysis of PV power-plant performance.…”

Section: Preliminariesmentioning

confidence: 99%

PV Module Monitoring System Based on Low-Cost Solutions: Wireless Raspberry Application and Assessment

Paredes-Parra¹,

Mateo-Aroca

Silvente-Niñirola

et al. 2018

Energies

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The integration of renewables into power systems has led to multiple studies and analysis in terms of grid-power quality, reliability, and/or feasibility. Among different resources to be considered as alternative energy systems, wind and solar emerge as the most mature technologies. With regard to photovoltaic (PV) installations, monitoring problems requires detailed analysis, since solar-radiation fluctuations, soiling on solar panels, or deficiency of PV-panel performance can involve unexpected power-output oscillations and, subsequently, undesirable power-generation oscillations. Under this framework, this paper describes and assesses a wireless low-cost PV-module monitoring system based on open-source solutions. Our proposal allows us to monitor installations at the PV-module level, giving detailed information regarding PV power-plant performance. The proposed monitoring system is based on the IEC-61724 standard requirements, as a flexible and ad hoc solution with relevant connectivity options. Meteorological and electrical data are collected from the developed nodes and available for subsequent analysis. Detailed information of the solution, as well as extensive results collected in Spanish PV power plants connected to the grid, are also included in the paper. Energies 2018, 11, 3051 2 of 20Best et al. [5] affirms that solar and wind resources are on the upper rungs of the energy ladder, their integration being predominant in higher-income countries. Recent contributions, focused on future electricity systems, also assume that renewable assets can be considered a mix between wind-and solar-power generation [6]. In [7], and apart from wind and PV solar deployment, a slight increase has been estimated during the past few years for other renewable energy sources for electricity. In addition, Ellabban et al. [8] establishes a direct connection between technological maturity and economic barriers, mainly when the cost of a technology is above the cost of other competing alternatives. Therefore, wind and PV solar resources are currently the most integrated renewable energy sources into power systems, excluding hydropower-generation units. Nevertheless, there are no large-area power systems in the world where wind and solar power generate more than 50% of electricity [9].The integration of wind and PV power plants into power systems involves certain technical problems, mainly focused on reliability, power quality, and stability [10]. The intermittent nature of such sources may increase grid stress, mainly due to undesirable oscillations on the supply side [11] that may affect voltage regulation of transmission systems [12]. At a low/medium-voltage level, different reactive power control strategies have also been proposed to facilitate renewables integration [13], including active power curtailment [14]. As an additional solution to guarantee a balance between generation and demand, with reduced capacity and costs of operating reserves [15], short-term forecasting of PV production emerges as a relevant topic of inte...

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Section: Preliminariesmentioning

confidence: 99%

PV Module Monitoring System Based on Low-Cost Solutions: Wireless Raspberry Application and Assessment

Paredes-Parra¹,

Mateo-Aroca

Silvente-Niñirola

et al. 2018

Energies

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“…As another characteristic easy to be measured directly, voltage and current variation can be captured through an integrated microsensor of micro–electro‐mechanical systems, which contributed to the early fault diagnosis prediction . It can be concluded that battery cell parameters of temperature, voltage, and current are all the typical real‐time and direct monitor system . However, such measurement accuracy and reliability are usually highly depended on sensors location and distribution.…”

Section: Randd Of Btm With Enhanced Safetymentioning

confidence: 99%

“…138 It can be concluded that battery cell parameters of temperature, voltage, and current are all the typical real-time and direct monitor system. 139 However, such measurement accuracy and reliability are usually highly depended on sensors location and distribution. With advances on developing technique served to improve the battery safety and performance, the indirect measurement with optical fiber Bragg grating (FBG) sensors identified as the representative has been the researching focus.…”

Section: Thermoelectric Parametermentioning

confidence: 99%

A review on research status and key technologies of battery thermal management and its enhanced safety

et al. 2018

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Summary The reliable protection of personal safety and vehicle service security has aroused the rising attention on battery thermal safety issues. This poses ongoing challenges for battery thermal management (BTM) to improve the safety by constantly learning and adopting advanced technologies from thermal management to thermal safety control. On the basis of electrochemical, mechanical, and thermo‐kinetic characteristics of battery behavior evolution under operational conditions of normal and abnormal, BTM with enhanced safety cannot only guarantee the battery operation performance but also improve thermo‐safety behavior with the heat transfer intensifying method. Additionally, via effective measurements to detect and warn the battery behavior evolution characteristics, the combination of emergency cooling, fire extinguishing, and thermal barrier adopted in BTM with enhanced safety can effectively and sufficiently suppress battery thermal overheating and its propagation. As concluded, the synthesized integration of basic BTM and its safety‐enhanced treatment can ensure the optimal working temperature range and prevent thermal overheating from propagation. Thus, the BTM system with enhanced safety has been a promising research priority. This article provides a comprehensive review on BTM with enhanced safety aiming to promote the battery application with high energy density, security, and cyclic stability served for electrification and intelligentization of automobiles. In addition, the summary of relevant research status and key technology is dedicated to improving BTM thermo‐safe design innovation and collaborative optimization, to fit with the sustainable development needs of the long‐term mechanism of energy conservation and green‐energy vehicles marketization.

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“…In this work, a historical data based BMS was developed to provide information about the operation and performance of the individual batteries in the energy storage system. The historical data based BMS system, shown in Figure 4, is an improvement of the previous work reported in [28], consisting of a communication channel to and from the IED, sensor modules, data acquisition, local or cloud database system, and a human machine interface (HMI).…”

Section: Battery Management Systemmentioning

confidence: 99%

Performance Analysis of Energy Storage in Smart Microgrid Based on Historical Data of Individual Battery Temperature and Voltage Changes

Haq

Kurniadi

Leksono

et al. 2019

J. Eng. Technol. Sci.

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In this work, a historical data based battery management system (BMS) was successfully developed and implemented using an embedded system for condition monitoring of a battery energy storage system in a smart microgrid. The performance was assessed for 28 days of operating time with a one-minute sampling time. The historical data showed that the maximum temperature increment and the maximum temperature difference between the batteries were 4.5 °C and 2.8 °C. One of the batteries had a high voltage rate of change, i.e. above 3.0 V/min, and its temperature rate of change was very sensitive, even at low voltage rate of changes. This phenomenon tends to indicate problems that may deplete the battery energy storage system's total capacity. The primary findings of this study are that the voltage and temperature rates of change of individual batteries in real operating conditions can be used to diagnose and foresee imminent failure, and in the event of a failure occurring the root cause of the problem can be found by using the historical data based BMS. To ensure further safety and reliability of acceptable practical operating conditions, rate of change limits are proposed based on battery characteristics for temperatures below 0.5 °C/min and voltages below 3.0 V/min.

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Development of Battery Monitoring System in Smart Microgrid Based on Internet of Things (IoT)

Cited by 84 publications

References 5 publications

PV Module Monitoring System Based on Low-Cost Solutions: Wireless Raspberry Application and Assessment

PV Module Monitoring System Based on Low-Cost Solutions: Wireless Raspberry Application and Assessment

A review on research status and key technologies of battery thermal management and its enhanced safety

Performance Analysis of Energy Storage in Smart Microgrid Based on Historical Data of Individual Battery Temperature and Voltage Changes

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