Hybridized Intelligent Home Renewable Energy Management System for Smart Grids

Abstract

The incorporation of renewable energies and power storage at distribution facilities are one of the important features in the smart grid. In this paper, a hybridized intelligent home renewable energy management system (HIHREM) that combines solar energy and energy storage services with the smart home is planned based on the demand response and time of consumption pricing is applied to programs that offer discounts to consumers that reduce their energy consumption during high demand periods. The system is designed and handled with minimal energy requirements at home through installation of renewable energy, preparation, and arrangement of power stream during peak and off-peak periods. The best energy utilization of residential buildings with various overlapping purposes is one of the most difficult issues correlated with the implementation of intelligent micro-network systems. A major component of the smart grid, the domestic energy control system (HIHREM) provides many benefits, such as power bill reductions, reduction in wind generation, and demand compliance. This showed that the proposed energy scheduling method minimizes the energy consumption by 48% and maximizes the renewable energy consumed at the rate 65% of the total energy generated. A new model for smart homes with renewable energies is introduced in this report. The proposed HIHREM method achieves high performance and reduces cost-utility.

Autonomous Fuzzy Controller Design for the Utilization of Hybrid PV-Wind Energy Resources in Demand Side Management Environment

“…Proposed a hybridized intelligent home renewable energy management system (HIHREM) that integrates solar energy and energy storage services and a smart home is designed based on the demand response. The energy consumption rate is reduced significantly, specifically during high-demand periods [21].…”

A generalized economic model for optimally selecting forecasted load profiles for measuring demand response in residential energy management system

“…According to Reference 25 the residential energy management system functioned according to two sets of objectives 1,27 ; objectives that minimize the cost incurred from having these devices, 28 and those that maximize customer benefits 29 . These objectives are shown in Table 1.…”

Internet of things and cloud computing‐based energy management system for demand side management in smart grid

“…Recently some hybrid intelligent renewable EMSs have been proposed, which employ two-way communication and artificial intelligence (AI) or big data analytics approaches for lowering consumer' bills. [13][14][15][16] Lin presented an IoT-oriented EMS based on neuro-fuzzy classification for distinguishing electrical appliances operated under similar electrical features. 17 Lin and Tsai proposed an advanced HEMS for implementing residential DR for demand-side load management by autonomously and meta-heuristically scheduling household appliances without user intervention, however, costbenefit analysis, which is an important consideration for such a system has been suggested as future work.…”

“…Their work is closely related to ours but there are some differences; our system does not employ fog nodes and we use message queuing telemetry transport (MQTT) protocol, which is a light‐weight data‐centric IoT protocol specifically developed for real‐time telemetry data. Recently some hybrid intelligent renewable EMSs have been proposed, which employ two‐way communication and artificial intelligence (AI) or big data analytics approaches for lowering consumer' bills 13‐16 . Lin presented an IoT‐oriented EMS based on neuro‐fuzzy classification for distinguishing electrical appliances operated under similar electrical features 17 .…”