Electricity meter

About: Electricity meter is a research topic. Over the lifetime, 7894 publications have been published within this topic receiving 42430 citations. The topic is also known as: electric meter & electrical meter.

Vertical alternating current charging pile

Abstract: The invention provides a vertical alternating current charging pile. The vertical alternating current charging pile comprises a charging pile body. A charging connector circuit and a main controller are arranged in the inner portion of the charging pile body. One end of the charging connector circuit is connected with an external 220-volt alternating current supply network, and the other end of the charging connector circuit outputs electric energy through a charging socket. An intelligent electricity meter and an alternating current contactor are connected in series on the charging connector circuit through a power source wire from the 220-volt alternating current supply network to the charging socket. Input and output port of the main controller is connected with the alternating current contactor and a signal input and output end of the intelligent electricity meter. An alternating current charging measurement unit and an arithmetic unit are arranged in the inner portion of the intelligent electricity meter. The signal input and output end of the main controller supplies power to three groups of main contacts of the alternating current contactor which are regarded as a charging switch of the alternating current charging and normally open contacts of a relay of the main contact. The vertical alternating current charging electric pile integrates safety, flexibility, intelligence and alarm in one body, meets requirements of the existing intelligent electricity network and is perfect in function, capable of achieving reliable charging of an electric vehicle and wide in development prospect.

A remote intelligent meter writing method and remote intelligent meter writing system

Abstract: The invention belongs to a remote intelligent meter reading system field, is a remote intelligent meter reading system configured being used for remoter meter reading, bidirectional data transmission of an electrical meter, a water meter and an gas meter. Transmission of intelligent bidirectional data between a local end meter reading computer to a user terminal is realized by a new data transmission manner and via a common mobile communication network and low-voltage electric power carrier communication, so as to realize an object of remote controlling and user meter reading. Complementation can be performed between two communications of the common mobile communication network and the low-voltage electric power carrier communication, thereby realizing bidirectional transmission, conversion, transferring of different commnucation mode data. The remote intelligent meter reading system can directly read counting data of user's electric power meter, gas meter and water meter by the local end meter reading computer via a local area network composed of the common mobile communication network, an intelligent data collocting concentrator and the low-voltage electric power carrier communication, and peform remote control on the electric power meter, the gas meter and the water meter.

Detection of False-Reading Attacks in Smart Grid Net-Metering System

Abstract: In the smart grid, malicious customers may compromise their smart meters (SMs) to report false readings to achieve financial gains illegally. This causes hefty financial losses to the utility and may degrade the grid performance because the reported readings are used for energy management. This article is the first work that investigates this problem in the net-metering system, in which one SM is used to report the difference between the power consumed and the power generated. First, we prepare a benign data set for the net-metering system by processing a real power consumption and generation data set. Then, we propose a new set of attacks tailored for the net-metering system to create a malicious data set. After that, we analyzed the data and found time correlations between the net meter readings and correlations between the readings and relevant data obtained from trustworthy sources, such as solar irradiance and temperature. Based on the data analysis, we propose a general multidata-source deep hybrid learning-based detector to identify the false-reading attacks. Our detector is trained on net meter readings of all customers besides data from trustworthy sources to enhance the detector performance by learning the correlations between them. The rationale here is that although an attacker can report false readings, he cannot manipulate the solar irradiance and temperature values because they are beyond his control. Extensive experiments have been conducted, and the results indicate that our detector can identify the false-reading attacks with a high detection rate of 98.59% and a low false alarm of 2.92%.

IoT Based Energy Management for Smart Home

Abstract: In today’s scenario all the technologies are operated in automatic condition from anywhere around the world. Based on our government system first 100 unit of energy is not calculated by energy meter, which is used to calculate the electricity consumed unit in the consumer node. Generally the IoT’s are used for home automation application such as fan and lamp was controlled by mobile phones based on cloud platform. The existing microcontroller is used to control only one data at a time for cloud based process. However to control the data but cannot provide continues energy to the consumer node. This cloud platform is only stores the dates and control to the controller parts with use of ThinkSpeak website. But in this paper deals with monitoring the energy from the solar and energy meter with help of Arduino controller and home automation is done by IoT with Esp8266 Wifi module. This module is used for control both the data’s and monitoring the energy level of the consumer side. The data from solar and energy meter is sent to the cloud through the Wi-fi module and these data’s are dumped into the arudino controller. The controller controls both the data’s parallely with help of IoT and data’s are displayed in LCD. Thus the results of IoT energy from solar and energy meter are provides continues energy to the consumer for home appliances.

HeatProbe: a thermal-based power meter for accounting disaggregated electricity usage

Abstract: To promote energy-saving behavior, disaggregating electricity usage is critical for increasing consumer awareness of energy usage behavior. This study proposes HeatProbe, a thermal-based power meter system that uses thermal imaging to track disaggregated appliance usage. We have designed, prototyped, and tested the HeatProbe system. Results show that HeatProbe successfully senses individual appliance operating durations with an average error of 125.03 seconds, achieving 80.2% appliance power accounting accuracy in different appliance usage scenarios.