Adaptive distributed demand side management with weighted dimension reduction for energy resource management in smart grid

Demand side management (DSM) consists of planning, executing, and controlling activities to reduce electricity consumption. By using demand response (DR), customers help during peak times. Consumer participation in DSM depends on his behaviour. behaviour is determined by factors such as lifestyle, price, consumption tariff, contract type etc. Thus, affecting the consumer's should be considered order determine more accurately amount programs. This article presents a model for optimal scheduling distributed energy resources taking into account related consumer To volume DR data while maintaining main features, principal component analysis (D_PCA) was used data. Also, integrating this method with accelerated hybrid alternating direction multipliers (AHADMM) algorithm, an adapted achieved realize reliability cyber security system. The case study conducted IEEE 118 bus power system at different levels demand, which verified proposed meta-algorithm improved least between 4 13 iterations resource convergence speed compared similar methods also intended.