Consumer Energy Management in Residential Distribution Power System Considering Consumer’s Privacy

In this research, we offer a consumer energy management (CEM) model followed by a privacy model. This paper proposes a unique arrangement that includes the following highlights: (a) It conceals consumers’ utility usage patterns by masking their utility usage data; (b) it provides scheduling that results in a fetched reduction in the utility charge; and (c) it estimates the difference between the customers’ "Average Daily Load" and their "Current Load Curve" on a regular basis allowing the battery to release only enough to satisfy the difference, avoiding excessive releasing and battery charging, and accordingly raises charging-releasing rates and temperature guidelines; (d) it protects privacy while also conserving energy, thereby balancing the cost of a dedicated battery bank. A house-hold appliance scheduling algorithm based on communication mechanisms, a dedicated battery bank and an EV-battery bank is used in this paper. Although we use this concept in the residential community, it can also be used in the industrial and commercial sectors. The simulation findings also reveal that the suggested model achieves its purpose of designing a system that conceals consumers’ energy use habits, ensuring consumer privacy at a low cost.