Electric load monitoring and control in the domestic environment

The electric power industry is an essential part of the energy industry as it strengthens the monitoring and control management of household electricity for the construction of an economic power system. In this paper, a non-intrusive affinity propagation (AP) clustering algorithm is improved according to the factor graph model and the belief propagation theory. The energy data of non-intrusive monitoring consists of the actual energy consumption data of each electronic appliance. The experimental results show that this improved algorithm identifies the basic and combined class of home appliances. According to the possibility of conversion between different classes, the combination of classes is broken down into different basic classes. This method provides the basis for power management companies to allocate electricity scientifically and rationally.

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A fuzzy based parametric monitoring and control algorithm for distinctive loads to enhance the stability in rural islanded microgrids

Facta universitatis - series Electronics and Energetics ◽

10.2298/fuee2002227a ◽

2020 ◽

Vol 33 (2) ◽

pp. 227-241

Author(s):

Fawad Azeem ◽

Ghous Narejo

Keyword(s):

Control Algorithm ◽

Fuzzy Controller ◽

Load Control ◽

Prolonged Storage ◽

Monitoring And Control ◽

Skilled Manpower ◽

Parameter Variations ◽

Load Monitoring ◽

The Stability ◽

And Control

Effective monitoring and control of isolated rural microgrid in the developing world is challenging. The modern communication and monitoring is difficult to handle in such communities due to a complicated approach to the area, lack of modern facilities and unavailability of skilled manpower. Implementation of a microgrid in such areas using intermittent renewable sources and limited storage is challenging. Uncontrolled load consumption leads to the system-wide outages due to prolonged storage utilization in peak hours and is referred here as battery storage stress hours (BSSH). This research is focused to study and analyze the behavior of parametric load monitoring and control algorithm that could control the distinctive load of the microgrid during BSSH. In the proposed algorithm, the residential loads are distinctively controlled while utilizing the three locally available parameters that are the state of the charge of storage, solar irradiations and ambient temperature. In other words, the natural parameter variations have been uniquely utilized as a monitoring tool for load control. The fuzzy controller takes a decision for the activation or deactivation of any load based on the three parameters variation ranges. It is observed from the simulation and experimental results that while only utilizing locally available parameters the effective load control is possible.

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Developing of a monitoring and control system of an electric load for domestic applications

2015 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) ◽

10.1109/ropec.2015.7395115 ◽

2015 ◽

Author(s):

Diego P. Chacon-Troya ◽

Maria Fernanda Mena

Keyword(s):

Control System ◽

Electric Load ◽

Monitoring And Control ◽

Monitoring And Control System ◽

And Control

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Evaluation of a LoRa Mesh Network for Smart Metering in Rural Locations

Electronics ◽

10.3390/electronics10060751 ◽

2021 ◽

Vol 10 (6) ◽

pp. 751

Author(s):

Anup Marahatta ◽

Yaju Rajbhandari ◽

Ashish Shrestha ◽

Ajay Singh ◽

Anup Thapa ◽

...

Keyword(s):

Smart Grids ◽

Cost Effective ◽

Energy System ◽

Mesh Network ◽

Smart Metering ◽

Monitoring And Control ◽

Smart Meters ◽

Load Monitoring ◽

Iot Devices ◽

And Control

Accompanying the advancement on the Internet of Things (IoT), the concept of remote monitoring and control using IoT devices is becoming popular. Digital smart meters hold many advantages over traditional analog meters, and smart metering is one of application of IoT technology. It supports the conventional power system in adopting modern concepts like smart grids, block-chains, automation, etc. due to their remote load monitoring and control capabilities. However, in many applications, the traditional analog meters still are preferred over digital smart meters due to the high deployment and operating costs, and the unreliability of the smart meters. The primary reasons behind these issues are a lack of a reliable and affordable communication system, which can be addressed by the deployment of a dedicated network formed with a Low Power Wide Area (LPWA) platform like wireless radio standards (i.e., LoRa devices). This paper discusses LoRa technology and its implementation to solve the problems associated with smart metering, especially considering the rural energy system. A simulation-based study has been done to analyse the LoRa technology’s applicability in different architecture for smart metering purposes and to identify a cost-effective and reliable way to implement smart metering, especially in a rural microgrid (MG).

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Managing peak demand using direct load monitoring and control

2013 Australasian Universities Power Engineering Conference (AUPEC) ◽

10.1109/aupec.2013.6725445 ◽

2013 ◽

Cited By ~ 1

Author(s):

Mike Witherden ◽

Ramesh Rayudu ◽

Chris Tyler ◽

Winston KG Seah

Keyword(s):

Monitoring And Control ◽

Peak Demand ◽

Load Monitoring ◽

And Control

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Computers for data, control and simulation

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100106661 ◽

1988 ◽

Vol 46 ◽

pp. 920-921

Author(s):

David C. Joy

Keyword(s):

Personal Computers ◽

Monitoring And Control ◽

Data Logging ◽

Data Logger ◽

Operational Conditions ◽

Data Control ◽

The Many ◽

And Control

Personal computers (PCs) are a powerful resource in the EM Laboratory, both as a means of automating the monitoring and control of microscopes, and as a tool for quantifying the interpretation of data. Not only is a PC more versatile than a piece of dedicated data logging equipment, but it is also substantially cheaper. In this tutorial the practical principles of using a PC for these types of activities will be discussed.The PC can form the basis of a system to measure, display, record and store the many parameters which characterize the operational conditions of the EM. In this mode it is operating as a data logger. The necessary first step is to find a suitable source from which to measure each of the items of interest. It is usually possible to do this without having to make permanent corrections or modifications to the EM.

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