In this paper, an algorithm that monitors the power system to detect and classify power quality events in real time is presented. The algorithm is able to detect events caused by waveform distortions and variations of the RMS values of the voltage. Detection of the RMS events is done by comparing the RMS values with certain thresholds, while detection of waveform distortions is made using an algorithm based on multiharmonic leasts-squares fitting.
Each electrical appliance has its own pattern of using the electricity. Identifying these patterns can lead to a disaggregation of the entire electricity consumption. This disaggregation, brought to the user, offers a better understanding on how the electricity is consumed inside his home. Also the information obtained from this process brings to the user the power to detect possibilities to reduce its consumption and also its electrical bills, in the context of a world where prices are getting higher each day. This paper presents a new algorithm which detects electrical consumers based on power consumption. The system successfully detects two-state (on-off) and also multi-state devices.
Keywords-load detection; nonintrusive load monitoring; electric load signatureI.
The main resources used in electricity generation are becoming fewer, while the impact of renewable resources is still quite small. To allow the necessary time for the technology of renewable resources to mature, a requirement is to increase the energy efficiency. In this regard the smart grid concept was implemented, but whose efficiency depends on creation of a framework through which the end user can actively participate in the energy marketplace. End users must be able to understand how the energy is used so that they could find possibilities to increase the efficiency of energy. Within this paper the architecture of a smart system (smart meter) capable to disaggregate the whole energy consumption into individual consumers is presented. This way, the user will have a better understanding on how the energy is used, will find major consumers and will be able to reduce his consumption.
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