Automatic Meter Reading System Research Articles

Knowledge-based system for distribution system outage locating using comprehensive information

This paper presents a knowledge-based system (KBS) designed to locate distribution system outages using comprehensive data from customer trouble calls, a wireless automated meter reading (AMR) system, and distribution supervisory control and data acquisition (SCADA). The algorithm uses the on-demand read capability of a wireless AMR system, which allows the utility to communicate directly with the meter controllers. The algorithm of the developed KBS has two major parts: an outage escalation procedure and meter-polling procedure. The escalation procedure involves searching for the outage region according to the comprehensive outage information. The meter-polling procedure includes designing the meter-polling schema and confirming the outage locations based on the meter polling results. The algorithm was designed to handle both single outage and multiple outage situations. The expert system shell G2 was used as the development tool.

Outage Management through AMR Systems Using an Intelligent Data Filter

Automatic meter reading (AMR) is the remote collection of consumption data from customers' utility meters over telecommunication, radio, power line, and other links. Electric utilities are exploring the usage of AMR data for outage management for distribution systems. Signals from automated meters can provide additional information in the outage detection and determination processes as well as restoration phases of outage management. Due to its low quality, however, AMR outage data cannot be fed directly into outage management systems. This paper details the development of an intelligent information filter for automated metering systems. The filter prevents false outage notifications in addition to improving the quality of outage data. The nature of wireless communication in the AMR system introduces uncertainty issues in the query process. This uncertainty has been modeled using probabilistic and fuzzy engineering techniques. The filter has also been tested using historical outage data.

A general polling algorithm using a wireless AMR system for restoration confirmation

Restoration of distribution systems is a complicated process, especially after storms, when a large number of outages can occur. Many utilities are implementing automated meter reading (AMR) systems that can aid in the restoration process. This paper presents work done to utilize the capabilities and information provided by a wireless AMR system, including the on-demand read feature, to develop a polling procedure to identify system conditions. It takes advantage of the connection information provided by a utility and the performance of the wireless meter communication systems.

A General Polling Algorithm Using a Wireless AMR System for Restoration Confirmation

Restoration of distribution systems is a complicated process, especially after storms, when a large number of outages can occur. Many utilities are implementing automated meter reading (AMR) systems that can aid in the restoration process. This paper presents work done to utilize the capabilities and information provided by a wireless AMR system, including the on-demand read feature, to develop a polling procedure to identify system conditions. It takes advantage of the connection information provided by a utility and the performance of the wireless meter communication systems.

Outage management through AMR systems using an intelligent data filter

Automatic meter reading (AMR) is the remote collection of consumption data from customers' utility meters over telecommunication, radio, power-line and other links. Electric utilities are exploring the usage of AMR data for outage management for distribution systems. Signals from automated meters can provide additional information in the outage detection and determination processes as well as restoration phases of outage management. However due to its low quality, AMR outage data cannot be fed directly into outage management systems. This paper details the development of an intelligent information filter for automated metering systems. The filter prevents false outage notifications in addition to improving the quality of outage data. The nature of wireless communication in the AMR system introduces uncertainty issues in the query process. This uncertainty has been modeled using probabilistic and fuzzy engineering techniques. The filter has also been tested using historical outage data.

Automatic meter-reading system by power line carrier communications

The authors are developing the technology of total distribution automation for performing load control, line switch control and automatic meter-reading by using ripple control (outbound signal in middle-tension voltage), current answer-back signal (inbound signal in middle-tension voltage) and phase pulse signal (two-way communication signal in low-tension voltage distribution line). This paper covers the waveform-detecting method which has been developed as the sending and receiving technology by phase pulse signal. It also shows that, by application of the waveform detecting method, more than 99.9% of total communication performance is secured.