Intelligent Home Energy Management System for Distributed Renewable Generators, Dispatchable Residential Loads and Distributed Energy Storage Devices

TL;DR

This paper proposes an intelligent energy management system for homes that optimizes costs and emissions by integrating renewable sources, dispatchable loads, and energy storage, validated through case studies and simulations.

Contribution

It introduces a comprehensive model and solution algorithm for optimizing residential energy use with renewable sources, loads, and storage, enhancing cost savings and emission reductions.

Findings

Reduced operating costs and carbon emissions in simulations.

Effective coordination of renewable generation, loads, and storage.

Validated approach through case studies.

Abstract

This paper presents an intelligent home energy management system integrated with dispatchable loads (e.g., clothes washers and dryers), distributed renewable generators (e.g., roof-top solar panels), and distributed energy storage devices (e.g., plug-in electric vehicles). The overall goal is to reduce the total operating costs and the carbon emissions for a future residential house, while satisfying the end-users comfort levels. This paper models a wide variety of home appliances and formulates the economic operation problem using mixed integer linear programming. Case studies are performed to validate and demonstrate the effectiveness of the proposed solution algorithm. Simulation results also show the positive impact of dispatchable loads, distributed renewable generators, and distributed energy storage devices on a future residential house.