scholarly journals Reflections on the Future Electric Power Grid Monitoring System

2014 ◽  
Vol 23 (03n04) ◽  
pp. 1450024
Author(s):  
Michael Gouzman ◽  
Serge Luryi
Keyword(s):  
Monitoring System ◽  
Power Distribution ◽  
Smart Grids ◽  
Energy Flow ◽  
Power Grid ◽  
Processing Unit ◽  
Essential Point ◽  
Central Processing ◽  
Grid Monitoring ◽  
The Future

A shortcoming of the contemporary power grid monitoring is that the system does not know its own state. Instead of taking automatic note of energy-flow disruptions, one deals with haphazard telephone reports of “no light in our house”. We propose a novel monitoring system that requires no restructuring of the power distribution network and can be applied both to the existing grids and the future “smart grids”. The proposed system is based on a network of inexpensive sensors, installed on every connecting line and communicating measured data to a central processing unit. Our approach is topological in nature, based on the connectivity aspects of the power grid embodied in Kirchhoff's current law that must be valid at every node of the network. We argue that the state of the network can be adequately characterized by specifying the RMS currents and the direction of energy flow in all connecting lines. It is essential that in this description one does not have to know the magnitude of the energy flow, only its direction. This eliminates the need to measure voltage, which would be prohibitively costly on the massive scale. In contrast, the relative phase between the current and voltage can be measured easily. Another essential point is that the instantaneous RMS currents are impractical to record and communicate, hence local averaging is required. Since Kirchhoff's law should remain valid upon averaging, the latter must be carried out at each sensor synchronously over the entire network with global synchronization provided by the GPS.

scholarly journals Analysis of Output Characteristics of Typical Distributed Wind Power

2019 ◽  
Vol 79 ◽  
pp. 03017
Author(s):  
Mingyu Dong ◽  
Dezhi Li ◽  
Fenkai Chen ◽  
Meiyan Wang ◽  
Rongjun Chen ◽  
...  
Keyword(s):  
Wind Power ◽  
Power Output ◽  
Power Distribution ◽  
Large Scale ◽  
Power Grid ◽  
Stable Operation ◽  
Smart Power ◽  
Power Exchange ◽  
The Future ◽  
Output Characteristics

With the development of smart power distribution technology in the future, a large range of power supply load (such as distributed wind power generation) will appear on the power receiving end. When distributed wind power is connected to the power grid on a large scale, it will have a certain impact on the safe and stable operation of the power grid. However, if the wind power output characteristics can be analyzed and the wind power output is properly regulated, the one-way flow of power from the distribution network to the user side will be broken, so that the future "network-load" has dual interaction characteristics based on response and substantial power exchange.

scholarly journals Implementation of Air-conditioning Control Technology Based on Wireless Sensor

2017 ◽  
Vol 13 (07) ◽  
pp. 91
Author(s):  
Yecong He ◽  
Min Tan
Keyword(s):  
Monitoring System ◽  
Air Conditioning ◽  
Cooling Capacity ◽  
Wireless Sensor ◽  
Processing Unit ◽  
Air Conditioner ◽  
Font Size ◽  
Air Conditioning System ◽  
Central Processing ◽  
Central Air Conditioning

<span style="font-family: 宋体; font-size: 10pt; mso-fareast-language: ZH-CN; mso-bidi-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">U</span><span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">sing wireless sensor networks to collect indoor temperature and humidity data</span><span style="font-family: 宋体; font-size: 10pt; mso-fareast-language: ZH-CN; mso-bidi-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">,</span><span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US"> a monitoring system is built.</span><span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">According to the data of the central processing unit, the state of the current room is analyzed, and the cooling capacity (heat) and air volume of the central air conditioner are calculated. Meanwhile, this system calculates the relevant fees based on the amount of cold (heat) consumed by each user, and provides a more accurate data base for the central air conditioning system for energy efficiency optimization. The</span><span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">results show that this system can accurately reflect the environmental status of the target room.</span><span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">Therefore, </span><span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 宋体; mso-fareast-language: ZH-CN; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">it is concluded that </span><span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">the indoor environment monitoring system based on wireless sensor network and embedded technology proposed in this paper is effective and feasible.</span>

A Smart Power Meter to Monitor Energy Flow in Smart Grids: The Role of Advanced Sensing and IoT in the Electric Grid of the Future

2017 ◽  
Vol 17 (23) ◽  
pp. 7828-7837 ◽  
Author(s):  
Rosario Morello ◽  
Claudio De Capua ◽  
Gaetano Fulco ◽  
Subhas Chandra Mukhopadhyay
Keyword(s):  
Smart Grids ◽  
Energy Flow ◽  
Electric Grid ◽  
Smart Power ◽  
Power Meter ◽  
The Future

scholarly journals IoT Based Air Quality Monitoring System

2021 ◽  
pp. 1106-1114
Author(s):  
Mr. Nitin V. Bansod ◽  
Prof. U.W. Hore
Keyword(s):  
Monitoring System ◽  
Data Center ◽  
Web Gis ◽  
Processing Unit ◽  
Gps Receiver ◽  
Monitoring Equipment ◽  
Web Mapping ◽  
Central Processing ◽  
Sensors Array ◽  
Receiver Module

A remote online carbon dioxide (CO2) concentration monitoring system is developed, based on the technologies of wireless sensor networks, in allusion to the gas leakage monitoring requirement for CO2 capture and storage. The remote online CO2 monitoring system consists of monitoring equipment, a data center server, and the clients. The monitoring equipment is composed of a central processing unit (CPU), air environment sensors array, global positioning system (GPS) receiver module, secure digital memory card (SD) storage module, liquid crystal display (LCD) module, and general packet radio service (GPRS) wireless transmission module. The sensors array of CO2, temperature, humidity, and light intensity are used to collect data and the GPS receiver module is adopted to collect location and time information. The CPU automatically stores the collected data in the server and displays them on the LCD display module in real-time. Afterwards, the GPRS module continuously wirelessly transmits the collected information to the data center server. The online monitoring Web GIS clients are developed using a PHP programming language, which runs on the Apache web server. MySQL is utilized as the database because of its speed and reliability, and the stunning cross browser web maps are created, optimized, and deployed with the Open Layers JavaScript web-mapping library.

scholarly journals Air Quality Monitoring Using Internet of Things

2021 ◽  
pp. 208-214
Author(s):  
Mr. Nitin V. Bansod ◽  
Prof. U. V. Hore
Keyword(s):  
Monitoring System ◽  
Data Center ◽  
Web Gis ◽  
Processing Unit ◽  
Gps Receiver ◽  
Monitoring Equipment ◽  
Display Module ◽  
Central Processing ◽  
Sensors Array ◽  
Receiver Module

A remote online carbon dioxide (CO2) concentration monitoring system is developed, based on the technologies of wireless sensor networks, in allusion to the gas leakage monitoring requirement for CO2 capture and storage. The remote online CO2 monitoring system consists of monitoring equipment, a data center server, and the clients. The monitoring equipment is composed of a central processing unit (CPU), air environment sensors array, global positioning system (GPS) receiver module, secure digital memory card (SD) storage module, liquid crystal display (LCD) module, and general packet radio service (GPRS) wireless transmission module. The sensors array of CO2, temperature, humidity, and light intensity are used to collect data and the GPS receiver module is adopted to collect location and time information. The CPU automatically stores the collected data in the server and displays them on the LCD display module in real-time. Afterwards, the GPRS module continuously wirelessly transmits the collected information to the data center server. The online monitoring Web GIS clients are developed using a PHP programming language, which runs on the Apache web server. MySQL is utilized as the database because of its speed and reliability, and the stunning cross browser web maps are created, optimized, and deployed with the Open Layers JavaScript webmapping library.

scholarly journals Integration of future maintenance actions in the prediction parameters of the ATLAS COPCO ZR 200 compressor

2021 ◽  
Vol 12 (2) ◽  
Author(s):  
AGNES VIRGINIE TJAHE ◽  
Blaise MTOPI FOTSO ◽  
Médard FOGUE ◽  
Noureddine Zerhouni
Keyword(s):  
Fuzzy Systems ◽  
Failure Modes ◽  
Processing Unit ◽  
Proportional Integral Derivative ◽  
Know How ◽  
Central Processing ◽  
Neuro Fuzzy ◽  
The Future ◽  
Maintenance Decision ◽  
Prediction Systems

The prediction of several failure modes of an industrial equipment requires the development of prediction systems with several interdependent parameters. The integration of future maintenance actions with this type of prediction system is a major asset for maintenance decision making. This is even more relevant in the event that after having predicted the future occurrence of several failure modes, the maintenance department does not have the necessary resources to correct all the predicted failure modes at once. In this case it becomes necessary to know how much longer the equipment will work if future partial maintenance actions that do not correct all failure modes are implemented. It is to contribute to the resolution of this problem that we propose an architecture integrating the future maintenance actions to the prediction of several interdependent parameters. This architecture is based on the association of Proportional Integral Derivative regulators to Neuro-Fuzzy systems taking into account the four previous instants to predict the next instant. An application is made with accuracies of the order of 70% for the prediction of the phenomena of fouling of the coolers and of the order of 90% for the prediction of the phenomena of clogging of the filters of the ATLAS COPCO compressor, this with Central Processing Unit values not exceeding one minute.

General Information about the Design of Smart Grids in Universities

2016 ◽  
Vol 2 (9) ◽  
pp. 46
Author(s):  
Guillermo Antonio Loor Castillo ◽  
Yolanda Eugenia Llosas Albuerne ◽  
Miguel Castro Fernández ◽  
Lenin Agustin Cuenca Alava
Keyword(s):  
Energy Efficiency ◽  
Power Distribution ◽  
Smart Grids ◽  
Power Grid ◽  
General Information ◽  
Power Grids ◽  
Power Distribution Network ◽  
Service Companies ◽  
Processing Information ◽  
Actual Operation

Until recently, the dominant paradigm in the electrification consisted of universal service and its centralization, and for loor modern times think of the power grid of the future where a qualitative and radical leap is required because of the need to manage better energy resources, promote environmental protection and meet the increasingly demanding requirements of quality of service. A power distribution network becomes intelligent acquiring data, communicating, processing information and exercising control through a feedback that allows you to adjust to changes that may arise in actual operation. Ecuador aimed at energy efficiency through smart grids, which allow the dealer to maintain absolute monitoring of energy flow and the elements of the power grid. Thus, it is possible that service companies can efficiently manage their assets and the end user to manage consumption rationally, requiring to enhance the energy efficiency of power grids, one management timely and efficient energy.

The Design of Indoor Monitoring System Based on Atmega128L

2014 ◽  
Vol 926-930 ◽  
pp. 474-477
Author(s):  
Ling Zhang ◽  
Mu Qin Tian
Keyword(s):  
Monitoring System ◽  
Field Data ◽  
Processing Unit ◽  
Control Room ◽  
Single Chip ◽  
Danger Signals ◽  
Central Processing ◽  
Wireless Transceiver ◽  
Indoor Monitoring ◽  
Carbon Monoxide Sensor

This paper describes an indoor monitoring system based on Atmega128L, which uses the temperature, smoke and carbon monoxide sensor to collect indoor danger signals, analyzes the field data collected wireless transceiver device and a central processing unit composed by Atmega128L and NRF24L01 single chip, and meanwhile transmits the information to a small control room, making abnormal indoor information processed timely.

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