Effective power quality disturbance (PQD) events recognition is important for electricity network operation. This paper proposes an improved methodology detecting and classifying multiple PQD events, which may simultaneously occur in the network. It employs adaptive dual resolution Stockwell-transform signal processing a short-term Renyi entropy estimation feature extraction. Also, multi-class ...

This paper proposes an Optimal Power Flow (OPF) algorithm by Direct Load Control (DLC) programs to optimize the operational cost of smart grids considering various scenarios based on different constraints. The cost function includes active power production cost of available power sources and a novel flexible load curtailment cost associated with DLC programs. The load curtailment cost is based ...

The purpose of this paper is to review the state of the art techniques in signal processing for automatic classification of power quality events and to give a sign of the next trends. The time when power quality monitoring equipment just takes pictures of raw waveforms has gone. Nowadays, power quality monitoring systems are becoming able to identify and classify events automatically in order t...

Power quality (PQ) issue has attained considerable attention in the last decade due to large penetration of power electronics based loads and/or microprocessor based controlled loads. On one hand these devices introduce power quality problem and on other hand these mal-operate due to the induced power quality problems. PQ disturbances/events cover a broad frequency range with significantly diff...

From last decades the objective of Power quality (PQ) monitoring and analysis has drastically . Generally the power quality problem covers the time scales range from tens of nanoseconds to steady state to describe different events. Well discussed in various international standards (IEEE, IEC, EN etc) and also give various acceptability curves to quantify and classify different Power Quality phe...