Adaptive Load Identification Considering Effects of Harmonics and Voltage Variations

It is essential to face the problem of ever-increasing electrical load demand and to find advanced means for load management. Demand side management, as a promising solution, necessitates full monitoring of loads based on intrusive or non-intrusive techniques, to track the daily usage of energy. The V-I trajectory is an effective manner for identifying different types of loads. However, this technique is affected by the variations of voltage and harmonic. This paper investigates a new technique that is developed to overcome the variations of voltage and harmonic issues that arise, respectively, from the diversity of demand during day periods and the increased use of power electronic-based appliances. The proposed algorithm involves more than one phase. These phases aim, firstly, to get the trajectory of each appliance and extract its signatures. Checking the domains of the operating voltage and THDv and making the necessary modifications represent the second phase. Finally, the load data are compared with a DATABASE, which is constructed under reference voltage and THD.