IoT energy management platform for microgrid

Ku, Tai-Yeon; Park, Wan-Ki; Choi, Hoon

doi:10.1109/icpesys.2017.8215930

Cited by 41 publications

(17 citation statements)

References 2 publications

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“…The two‐way information flow provides decision support to DER, consumers, PEV owners, aggregators, and agents, especially for programs like DR and DSM, which enables consumers to actively participate thereby providing services for the flexible and efficient operation of the grid. Big data analysis, IoT, and IoE (use of IoT with DER) enable to analyze, share, and utilize information gathered from different levels of an EMS. Implementation of such technologies has been possible with the help of ICT infrastructure and communication protocols.…”

Section: Stakeholders and Participants Of Emsmentioning

confidence: 99%

Energy management system for smart grid: An overview and key issues

2020

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Summary Energy crisis and the global impetus to “go green” have encouraged the integration of renewable energy resources, plug‐in electric vehicles, and energy storage systems to the grid. The presence of more than one energy source in the grid necessitates the need for an efficient energy management system to guide the flow of energy. Moreover, the variability and volatile nature of renewable energy sources, uncertainties associated with plug‐in electric vehicles, the electricity price, and the time‐varying load bring new challenges to the power engineers to achieve demand‐supply balance for stable operation of the power system. The energy management system can effectively coordinate the energy sharing/trading among all available energy resources, and supply loads economically in all the conditions for the reliable, secure, and efficient operation of the power system. This paper reviews the framework, objectives, architecture, benefits, and challenges of the energy management system with a comprehensive analysis of different stakeholders and participants involved in it. The review paper gives a critical analysis of the distributed energy resources behavior and different programs such as demand response, demand‐side management, and power quality management implemented in the energy management system. Different uncertainty quantification methods are also summarized. This review paper also presents a comparative and critical analysis of the main optimization techniques used to achieve different energy management system objectives while satisfying multiple constraints. Thus, the review offers numerous recommendations for research and development of the cutting‐edge optimized energy management system applicable for homes, buildings, industries, electric vehicles, and the whole community.

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Section: Stakeholders and Participants Of Emsmentioning

confidence: 99%

Energy management system for smart grid: An overview and key issues

2020

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“…This service is based on energy information gathering. The primary weak point in this service is neglecting the fault tolerance issue in addition to the weak experiments that consider the IoT infrastructure [18]. Choi et al proposed an energy monitoring system.…”

Section: Related Workmentioning

confidence: 99%

EMS: An Energy Management Scheme for Green IoT Environments

2020

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The Internet of Things (IoT) has important applications in all aspects of our lives in areas such as business, military, security, and health. It is known that most IoT node designs are energy constrained. Therefore, maintaining an ideal energy consumption rate has become one of the most important challenges in the IoT research field. In this paper, an IoT Energy Management Scheme (EMS) is proposed. In this system, heterogeneous types of energy-constrained nodes are considered. The proposed EMS comprises three strategies. The first strategy minimizes the volume of data that may be transmitted through the IoT environment. The second strategy schedules the work of the critical energy IoT nodes. The third strategy provides a fault tolerance scenario that can be applied to address inevitable energy problems faced by IoT nodes. Finally, to test the proposed EMS, the NS2 network simulator is used to construct an intensive simulation of the IoT environment. The simulation results proved that the proposed EMS outperformed the traditional IoT system with respect to the following performance metrics: energy consumption rate, number of failed nodes due to energy loss, throughput, and network lifetime.

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“…Various communication protocols such as GSM, WIFI, and Zigbee have been developed in the past years and engineers are using them in IoT applications [4]. For instance, IoT is being used for power management, control, and monitoring of the appliances and devices in the houses using a web application or mobile apps [5]. Figure 1-1 shows how an IoT infrastructure can be implemented in a house.…”

Section: Introductionmentioning

confidence: 99%

Novel Current Sensor-less MPPT Algorithm for Solar Applications

Ranjbar

Eren

2020

2020 IEEE Applied Power Electronics Conference and Exposition (APEC)

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This thesis presents a novel Maximum Power Point Tracking (MPPT) technique for photovoltaic (PV) solar panels. The proposed method eliminates the need for current sensing by injecting high-frequency perturbations and monitoring the behavior of the system. The method takes advantage of the increase in the non-linearity of the I-V curve of the solar panel in order to find the maximum power point (MPP). Current sensors are a costly component in the design of a power converter. They also require a signal conditioning circuitry to reduce the noise and prepare the signal to be sampled and used by the controller. This elimination can reduce the cost of MPPT circuitry. The proposed method also shows a very fast tracking response due to the use of high-frequency signals instead of relying on low frequency and DC signals which are used in the traditional methods. Numerical analysis, simulation results, and experimental results verify the feasibility of the proposed technique.An FPGA controlled converter is designed for the experimental implementation of this technique.The board is designed to be expandable and versatile in order to be used as a development board for power electronics applications.

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IoT energy management platform for microgrid

Cited by 41 publications

References 2 publications

Energy management system for smart grid: An overview and key issues

Energy management system for smart grid: An overview and key issues

EMS: An Energy Management Scheme for Green IoT Environments

Novel Current Sensor-less MPPT Algorithm for Solar Applications

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