Design and Implementation of Remote Wireless Monitoring and Control of Smart Power System Using Personal Area Network

Chhaya, Lipi; Sharma, Paawan; Bhagwatikar, Govind; Kumar, Adesh

doi:10.17485/ijst/2016/v9i43/104392

Cited by 5 publications

(5 citation statements)

References 10 publications

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“…For current measurements, ACS712 20A is used. This device consists of a series of precision, low offset, linear Hall sensors with copper conduction lines located near the die surface [9]. The applied current that flows through the copper conduction path produces a magnetic field that is sensed by the integrated IC Hall and is converted into proportional voltage.…”

Section: Monitoring System Configurationmentioning

confidence: 99%

“…On the topics of PV monitoring systems, some efforts can be found in the specific literature [3,[5][6][7][8][9][10][11]. Low-cost solutions have been considered as a priority solution during the last decade [3,5], especially for developed country like Indonesia.…”

Section: Introductionmentioning

confidence: 99%

“…Some low-cost data acquisition system is also proposed using a dedicated personal computer (PC) with USB for communication [6,8]. Another solution based on wired/wireless sensor-network technologies for solar-panel monitoring is discussed in [9,12]. The proposed architecture used low-cost open-source tools based on an Arduino or Raspberry Pi platform.…”

Section: Introductionmentioning

confidence: 99%

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Design and Implementation of Real-Time Monitoring System for Solar Power Plant in Surabaya, Indonesia

et al. 2020

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Availability of renewable energy now makes solar energy the right choice because of its advantages and easy application compared to other renewable energy sources. Monitoring of the output parameters of solar power plants needs to be done to assess the performance and efficiency of a solar power plant in real environmental conditions. The aims of research is to provide a direct and real time monitoring. This research has been carried out in solar power plants at Engineering Physics Department, FTI-ITS. The design of an ATmega32 microcontroller-based system that is integrated with Raspberry-pi as a data acquisition system. Data reading solar power plants output parameters stored in memory can be downloaded at any time. The analysis result shows that the efficiency of photovoltaic arrays is 10.78 %. The total efficiency of the solar power plants system is 8.05 %.

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Section: Monitoring System Configurationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Design and Implementation of Real-Time Monitoring System for Solar Power Plant in Surabaya, Indonesia

et al. 2020

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“…It is an intelligent power grid with an integration of various alternative and renewable energy resources using automated monitoring, data acquisition, and control and emerging communication technologies [16][17][18][19][20]. The application of a diverse set of communication standards requires analysis and optimization depending upon requirements [21][22][23][24][25][26][27][28]. These requirements can be decided on the basis of the area of coverage, the application bandwidth requirement, etc.…”

Section: Hierarchy-based Smart Grid Communication Infrastructure For mentioning

confidence: 99%

IoT-Based Implementation of Field Area Network Using Smart Grid Communication Infrastructure

et al. 2018

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A power grid is a network that carries electrical energy from power plants to customer premises. One existing power grid is going through a massive and revolutionary transformation process. It is envisioned to achieve the true meaning of technology as “technology for all.” Smart grid technology is an inventive and futuristic approach for improvement in existing power grids. Amalgamation of existing electrical infrastructure with information and communication network is an inevitable requirement of smart grid deployment and operation. The key characteristics of smart grid technology are full duplex communication, advanced metering infrastructure, integration of renewable and alternative energy resources, distribution automation and absolute monitoring, and control of the entire power grid. Smart grid communication infrastructure consists of heterogeneous and hierarchical communication networks. Various layers of smart grid deployment involve diverse sets of wired and wireless communication standards. Application of smart grids can be realized in the facets of energy utilization. Smart grid communication architecture can be used to explore intelligent agriculture applications for the proficient nurturing of various crops. The utilization, monitoring, and control of various renewable energy resources are the most prominent features of smart grid infrastructure for agriculture applications. This paper describes an implementation of an IoT-based wireless energy management system and the monitoring of weather parameters using a smart grid communication infrastructure. A graphical user interface and dedicated website was developed for real-time execution of the developed prototype. The prototype described in this paper covers a pervasive communication infrastructure for field area networks. The design was validated by testing the developed prototype. For practical implementation of the monitoring of the field area network, multiple sensors units were placed for data collection for better accuracy and the avoidance of estimation error. The developed design uses one sensor and tested it for IoT applications. The prototype was validated for local and wide area networks. Most of the present literature depicts a design of various systems using protocols such as IEEE 802.15.1 and IEEE 802.15.4, which either provide restricted access in terms of area or have lower data rates. The protocols used in developed system such as IEEE 802.11 and IEEE 802.3 provide ubiquitous coverage as well as high data rates. These are well-established and proven protocols for Internet applications and data communication but less explored for smart grid applications. The work depicted in this paper provides a solution for all three smart grid hierarchical networks such as home/field area networks, neighborhood area networks, and wide area networks using prototype development and testing. It lays a foundation for actual network design and implementation. The designed system can be extended for multiple sensor nodes for practical implementation in field area networks for better accuracy and in the case of node failure.

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“…Among wireless protocols in recent years, new technologies are emerging aiming at an energy-efficient communication. A novel research activity has focused on BLE because it is an appealing solution in becoming a key technology for smart homes in low-power, low-cost, and small devices [5,10,11]. However, these applications pose some important research challenges, such as how to connect BLE devices to share information among users, and how to form the desired network configurations for various types of applications.…”

Section: Introductionmentioning

confidence: 99%

Determining the Optimal Configuration of the Multi-Ring Tree for Bluetooth Multi-Hop Networks

Hsu

2017

Energies

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In this work, a multi-ring tree algorithm is proposed for Bluetooth low-energy networks with non-uniform distribution of devices. In a dense area, a leader root is elected during the leader election phase and a min-path algorithm is introduced to determine the optimal number of rings for various numbers of discoverable roots. According to the optimal configuration, the leader root connects to its one-hop neighboring roots to form the first-tier ring; each new root connects with one downstream root, and these roots connect together to form the second-tier ring until the desired outermost ring is reached. In sparse areas, each root constructs its own spanning tree subnet, finally creating a multi-ring tree scatternet. To achieve the least route discovery overhead, a multi-hop self-routing protocol is developed to efficiently deliver packets. Computer simulations show that the optimal multi-ring subnet can be determined; the optimal multi-ring tree outperforms conventional dual ring-tree (DRT) and Bluetooth hybrid ring-tree (BlueHRT) in terms of network performance.

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Design and Implementation of Remote Wireless Monitoring and Control of Smart Power System Using Personal Area Network

Cited by 5 publications

References 10 publications

Design and Implementation of Real-Time Monitoring System for Solar Power Plant in Surabaya, Indonesia

Design and Implementation of Real-Time Monitoring System for Solar Power Plant in Surabaya, Indonesia

IoT-Based Implementation of Field Area Network Using Smart Grid Communication Infrastructure

Determining the Optimal Configuration of the Multi-Ring Tree for Bluetooth Multi-Hop Networks

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