Performance analysis of centralized, distributed and hybrid demand load control architecture for smart power grid

Abstract

Demand Response (DR) technology of future smart grid makes it possible to have two-way communication between utility service providers and home appliances inside the customer premises. This state-of-art technology is implements various smart devices such as: smart meters, smart load controller, smart thermostats, smart switches and home energy consoles. Furthermore, DR technology can reform the electricity system and provide clients with new information and options to manage their electricity use. Customers can reduce or shift their power usage during peak demand periods in response to real time-based rates or other forms of financial incentives. Besides, demand response policy plays a vital role in modernizing several electric energy domains including: grid reliability, pricing, infrastructure planning and design, emergency response, operations, and usage deferral decisions. In previous studies Demand Load for smart power grid is mostly implemented in a centralized approach. The significance of this study is to propose a hybrid Demand response (HDR) architecture. The study investigates the performance of DR in the context of a centralized, fully Distributed and Hybrid fashion. The research results shows that our proposed HDR scheme performances outperform all other existing demand response policies.