Dual tree complex wavelet transform (DTCWT) based approach is proposed in this paper for the detection of different power quality (PQ) disturbances in renewable energy based hybrid power system. Renewable energy resources such as solar photovoltaic (SPV) and wind energy system (WES) are integrated with distributed generations (DGs) like fuel cell FC and diesel engine generator (DEG). They are integrated with the energy storage systems like battery and flywheel which are connected to the utility grid. The detection performance of DTCWT is compared with WT under no-noise and 25-dB noise operating scenarios. The performance indices such as energy content and standard deviation (SD) are calculated to identify the power quality disturbances from normal operating conditions. A comparative analysis for detection of different power quality disturbances are presented as case studies which reflect the superior performance of DTCWT over the conventional wavelet transform.