Abstract
An important challenge for our society is the transformation of traditional power systems to a decentralized model based on renewable energy sources. In this new scenario, advanced devices are needed for real-time monitoring and control of the energy flow and power quality (PQ). Ideally, the data collected by Internet of Thing (IoT) sensors should be shared to central cloud systems for online and off-line analysis. In this paper openZmeter (oZm) is presented as an advanced low-cost and open-source hardware device for high-precision energy and power quality measurement in low-voltage power systems. An analog front end (AFE) stage is designed and developed for the acquisition, conditioning, and processing of power signals. This AFE can be stacked on available quadcore embedded ARM boards. The proposed hardware is capable of adapting voltage signals up to 800 V AC/DC and currents up to thousands of amperes using different probes. The oZm device is described as a fully autonomous open-source system for the computation and visualization of PQ events and consumed/generated energy, along with full details of its hardware implementation. It also has the ability to send data to central cloud management systems. Given the small size of the hardware design and considering that it allows measurements under a wide range of operating conditions, oZm can be used both as bulk metering or as metering/submetering device for individual appliances. The design is released as open hardware and therefore is presented to the community as a powerful tool for general usage.
Highlights
As electricity distribution grids are being developed, the need for metering has increased
Given its small size and large variety of current probes, it can be installed at any electrical installation, i.e., it can be used both as bulk metering or as metering/submetering for individual units or appliances
The main contribution of this research is the description of the oZm hardware, a low-cost, open-source, Internet-based multipurpose network analyzer and smart meter that has been designed, manufactured, and implemented for power quality and energy metering and submetering of electrical installations
Summary
As electricity distribution grids are being developed, the need for metering has increased. Other researchers have proposed systems for real-time detection and classification of power quality disturbances in smart grids [11] These smart metering systems are often integrated with computing and communication technologies to enhance efficiency and reliability of future power systems with renewable energy resources [12]. Where a sparse method for PQ representation, starting from overcomplete dictionaries, is introduced These techniques are used as input to a classifier such as support vector machine [39] where a new hybrid algorithm is presented for PQ disturbances detection in electrical power systems with SVM; fuzzy logic [40] where a fuzzy logic based online fault detection and classification of transmission line using Programmable Automation and Control technology based National Instrument Compact.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
