scholarly journals Optimal Design of a Wide Area Measurement System Using Hybrid Wireless Sensors and Phasor Measurement Units

Electronics ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 1085 ◽  
Author(s):  
Amir Bashian ◽  
Mohsen Assili ◽  
Amjad Anvari-Moghaddam ◽  
João P. S. Catalão
Keyword(s):  
Wireless Sensor Network ◽  
Power System ◽  
Sensor Network ◽  
Measurement System ◽  
Communication System ◽  
Sensor Nodes ◽  
Area Measurement ◽  
Wireless Sensor ◽  
Wide Area Measurement System ◽  
Measurement Units

Real-time monitoring of the power system by phasor measurement units (PMUs) leads to the development of such devices in a wide area measurement system (WAMS). However, the power system observability cannot be obtained by employing only PMUs. The communication infrastructure (CI) is a significant part of the WAMS that has to be optimally designed and implemented to collect data from PMUs and deliver them to control centers. In this paper, a novel hybrid wireless sensor network is proposed for the connection of PMUs throughout the system to enable convenient and low-cost communication media. The problem of observability in the communication system is checked along with the optimal placement of PMUs in the power system to reach full observability. A hybrid wireless sensor network including plug-in powered sensor nodes (PPSNs) and energy harvesting sensor nodes (EHSNs) is utilized for increasing the reliability of the communication system. In the proposed co-optimal PMU-sensor placement problem, the main objective is to minimize the total cost of PMU placement and the related communication system, considering full observability of the power system and CI. To achieve better results, the zero-injection bus (ZIB) effect and system observability redundancy index (SORI) are considered as a constraint in the objective function. A binary-coded genetic algorithm is used for solving the proposed mixed-objective optimization problem subject to different technical operating constraints. The proposed method is examined on IEEE 13-bus and IEEE 37-bus test feeder systems. The results show the applicability and effectiveness of the proposed method compared with the conventional methods in this subject area.

Real-time transient stability assessment using stacked auto-encoders

2020 ◽  
Vol 39 (4) ◽  
pp. 971-990
Author(s):  
Masoud Azarbik ◽  
Mostafa Sarlak
Keyword(s):  
Power System ◽  
Measurement System ◽  
Design Methodology ◽  
Transient Stability ◽  
Area Measurement ◽  
Stability Assessment ◽  
Content Type ◽  
Wide Area Measurement System ◽  
Measurement Units ◽  
System Topology

Purpose This paper aims to report how one can assess the transient stability of a power system by using stacked auto-encoders. Design/methodology/approach The proposed algorithm works in a power system equipped with the wide area measurement system. To be more exact, it needs pre- and post-disturbance values of frequency sent from phasor measurement units. Findings The authors have investigated the performance of the proposed method. Going through details, the authors have simulated many contingencies, and then have predicted the transient stability in each of which by using the proposed algorithm. Originality/value The results demonstrate that the algorithm is fast, and it has acceptable performance under different circumstances including the change of system topology and failures of telecommunication channels.

The Research of the Optimum Design of Wireless Sensor Network

2011 ◽  
Vol 52-54 ◽  
pp. 550-555
Author(s):  
Ban Teng Liu ◽  
Xue Jun Wu ◽  
Zhang Quan Wang ◽  
Yin Zhou
Keyword(s):  
Wireless Sensor Network ◽  
Wireless Communication ◽  
Natural Disasters ◽  
Sensor Network ◽  
Optimum Design ◽  
Communication System ◽  
Research Area ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Optimum Model

Wireless sensor network is currently a hot research area of wireless communication system. In this paper, the optimum model of the wireless sensor network would be discussed; this can control natural disasters effectively and restore the loss of human. In the square area with fixed-side 100, place some sensor nodes whose coverage radius is10 in order to monitor the whole square. After careful calculation and comparison, proposed the reasonable scheme of how to place fewer nodes to cover the area as large as possible. Finally, I do the research of simulation and propose direction of optimization.

Communication Protocol for Wireless Sensor Network, Dedicated for Real Time Biosignal Acquisition, Implemented on Top of Contiki OS

MACRo 2015 ◽  
2017 ◽  
Vol 2 (1) ◽  
pp. 105-111
Author(s):  
Loránd Farkas ◽  
Lajos Losonczi
Keyword(s):  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Measurement System ◽  
Time Synchronization ◽  
Communication Protocol ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Real Time Transmission ◽  
Contiki Os

AbstractThe aim of this paper is to present a communication protocol designed for Wireless Sensor Network based biosignal measurement system. The protocol addressees the issue of time synchronization of the measuring nodes and real time transmission of the acquired measurements. We run the Contiki OS on the sensor nodes and the protocol was implemented as a process. The proposed protocol was tested on custom built hardware, developed by our team for biosignal measurement.

An Effective Congestion Control Algorithm based on Traffic Assignment and Reassignment in Wireless Sensor Network

2020 ◽  
Vol 13 (8) ◽  
pp. 1166-1174
Author(s):  
Chao Wang
Keyword(s):  
Wireless Sensor Network ◽  
Congestion Control ◽  
Sensor Network ◽  
Traffic Assignment ◽  
Transmission Rate ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Congestion Detection ◽  
Detection Technology ◽  
Average Transmission

Background: It is important to improve the quality of service by using congestion detection technology to find the potential congestion as early as possible in wireless sensor network. Methods: So an improved congestion control scheme based on traffic assignment and reassignment algorithm is proposed for congestion avoidance, detection and mitigation. The congestion area of the network is detected by predicting and setting threshold. When the congestion occurs, sensor nodes can be recovery quickly from congestion by adopting reasonable method of traffic reassignment. And the method can ensure the data in the congestion areas can be transferred to noncongestion areas as soon as possible. Results: The simulation results indicate that the proposed scheme can reduce the number of loss packets, improve the throughput, stabilize the average transmission rate of source node and reduce the end-to-end delay. Conclusion: : So the proposed scheme can enhance the overall performance of the network. Keywords: wireless sensor network; congestion control; congestion detection; congestion mitigation; traffic assignment; traffic reassignment.

scholarly journals A Remote Monitoring System of Logistics Carrier Based on Wireless Sensor Network

2018 ◽  
Vol 14 (01) ◽  
pp. 4
Author(s):  
Wang Weidong
Keyword(s):  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Monitoring Network ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Remote Monitoring System ◽  
Monitoring Center

To improve the efficiency of the remote monitoring system for logistics transportation, we proposed a remote monitoring system based on wireless sensor network and GPRS communication. The system can collect information from the wireless sensor network and transmit the information to the ZigBee interpreter. The monitoring system mainly includes the following parts: Car terminal, GPRS transmission network and monitoring center. Car terminal mainly consists by the Zigbee microcontroller and peripherals, wireless sensor nodes, RFID reader, GPRS wireless communication module composed of a micro-wireless monitoring network. The information collected by the sensor communicates through the GPRS and the monitoring center on the network coordinator, sends the collected information to the monitoring center, and the monitoring center realizes the information of the logistics vehicle in real time. The system has high applicability, meets the design requirements in the real-time acquisition and information transmission of the information of the logistics transport vehicles and goods, and realizes the function of remote monitoring.

Handling Failures of Static Sensor Nodes in Wireless Sensor Network by Use of Mobile Sensors

2011 ◽  
Author(s):  
Edison Pignaton de Freitas ◽  
Tales Heimfarth ◽  
Ivayr Farah Netto ◽  
Carlos Eduardo Pereira ◽  
Armando Morado Ferreira ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Sensor Nodes ◽  
Mobile Sensors ◽  
Wireless Sensor

SE: A Simple and Efficient Strategy for Clustering and Routing in WSN

2014 ◽  
Vol 701-702 ◽  
pp. 1025-1028
Author(s):  
Yu Zhu Liang ◽  
Meng Jiao Wang ◽  
Yong Zhen Li
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocols ◽  
Information Needs ◽  
Network Performance ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Clustering Method ◽  
Position Information ◽  
Two Parameters

Clustering the sensor nodes and choosing the way for routing the data are two key elements that would affect the performance of a wireless sensor network (WSN). In this paper, a novel clustering method is proposed and a simple two-hop routing model is adopted for optimizing the network layer of the WSN. New protocol is characterized by simplicity and efficiency (SE). During the clustering stage, no information needs to be shared among the nodes and the position information is not required. Through adjustment of two parameters in SE, the network on any scale (varies from the area and the number of nodes) could obtain decent performance. This work also puts forward a new standard for the evaluation of the network performance—the uniformity of the nodes' death—which is a complement to merely taking the system lifetime into consideration. The combination of these two aspects provides a more comprehensive guideline for designing the clustering or routing protocols in WSN.

scholarly journals Overcoming Localization Errors due to Node Power Drooping in a Wireless Sensor Network

2011 ◽  
Vol 57 (3) ◽  
pp. 341-346 ◽  
Author(s):  
Safdar Khan ◽  
Boubaker Daachi ◽  
Karim Djouani
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Vital Role ◽  
Position Estimation ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Battery Voltage ◽  
Localization Errors ◽  
Anchor Nodes ◽  
Received Signal Strength Indication

Overcoming Localization Errors due to Node Power Drooping in a Wireless Sensor NetworkReceived Signal Strength Indication (RSSI) plays a vital role in the range-free localization of sensor nodes in a wireless sensor network and a good amount of research has been made in this regard. One important factor is the battery voltage of the nodes (i.e., the MICAz sensors) which is not taken into account in the existing literature. As battery voltage level performs an indispensable role for the position estimation of sensor nodes through anchor nodes therefore, in this paper, we take into a account this crucial factor and propose an algorithm that overcomes the problem of decaying battery. We show the results, in terms of more precise localization of sensor nodes through simulation. This work is an extension to [1] and now we also use neural network to overcome the localization errors generated due to gradual battery voltage drooping.

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