Demand Side Management for Homes in Smart Grids

TL;DR

This paper presents a comprehensive energy management strategy for smart homes that optimizes appliance scheduling and integrates renewable resources, EVs, and energy storage to reduce bills while maintaining user comfort.

Contribution

It introduces a MILP-based approach that considers consumer comfort, EVs, ESS, and renewable energy, advancing demand response strategies for smart home energy management.

Findings

Significant reduction in electricity bills achieved.

Effective utilization of EVs and energy storage systems.

Maintained consumer comfort during optimization.

Abstract

Electricity usage is a major portion of utility bills and the best place to start lowering them. An effective home energy management approach is introduced to decrease customers' electricity bills by determining the optimal appliance scheduling under hourly pricing based demand response (DR) strategies. The proposed approach specifically addresses consumer comfort through acceptable appliance deferral times, within which their consumption can be shifted from the normal schedules. Electric vehicles (EVs), with vehicle to grid (V2G) and vehicle-to-home (V2H) abilities, Energy storage systems (ESS), and Renewable Energy Resource as a distributed generation are considered at the end-user premises to improve the energy management efficiency. A mixed-integer linear programming (MILP) framework is implemented to solve the proposed problem. Numerical results show that the proposed approach can reduce customers' electricity bill without sacrificing their comfort and fully exploit EVs and ESS capacities.