optimization-Based Home Energy Management System Under Different Electricity Pricing Schemes

Abstract

This paper represents an optimization-based home energy management system, by taking advantages of renewable resources and energy storage system for optimally managing the energy consumption and generation of the house. The surplus of renewable generation will be stored in energy storage system or will be injected into the main grid. An optimization algorithm is developed for this system in order to minimize the electricity bill of the house considering electricity tariffs. Four home appliances are considered to be controlled by this system for reducing the consumption in critical periods. The outcomes of optimization problem would be the optimal scheduling of the resources including renewable generations, energy storage system, consumption reduction, and power transactions with the grid. In the case studies, the developed model will be employed in three different scenarios, which considers simple electricity prices and time-of-use tariffs in order to test and validate the performance of the developed model.

Economic Impact of an Optimization-Based SCADA Model for an Office Building

“…There are several constraints that should be considered for the presented objective function. Equation (2) guarantees that the sum of power reduction of ACs ( . ) and lighting system ( ) should be equal to the required power reduction (…”

“…Nowadays, Demand Response (DR), and Renewable Energy Resources (RERs) are considered as major concepts in energy research topics [1]. The importance of DR programs and RERs is due to the advantages for all parts of the community including energy producers, consumers, and the environment by reducing the dependency on fossil fuels [2]. There is global concern about increasing of CO2 emissions, melting the glaciers, and the collapse of nature cycle [3], and hence, currently the demand of RERs and DR programs are increased [4].…”

Multicriteria Optimisation of the Structure of a Hybrid Power Supply System for a Single-Family Housing Estate in Poland, Taking into Account Different Electromobility Development Scenarios

“…Additional opportunities for efficient energy use are provided by Smart Grid technology, which involves the possibility of a two-way flow of information between a smart energy meter located in the home and the distribution network operator. This enables more efficient management of the energy demand of a residential building, e.g., by shifting the load to off-peak hours [14][15][16][17]. A home energy management system (HEMS) based on optimisation methods is presented in [14].…”

“…This enables more efficient management of the energy demand of a residential building, e.g., by shifting the load to off-peak hours [14][15][16][17]. A home energy management system (HEMS) based on optimisation methods is presented in [14]. The main task set for the system is to minimise the electricity bill, taking into account different energy tariffs.…”

Residential Demand Response Strategies and Applications in Active Distribution Network Management

“…The objective of these systems is to find the optimal consumption schedule for consumers considering various factors such as their consumption profiles, energy cost and environmental concerns. Comprehensive literature reviews have been conducted in this area where factors such as DR programmes, optimization techniques and smart technologies have been considered [16][17][18][19][20][21][22][23]. In a more advanced approach, Antonopoulos et al [24] have provided a comprehensive systematic review on applying Artificial Intelligence (AI) and Machine Learning (ML) techniques to Home Energy Management Systems (HEMS) and network optimization by predicting the available DR capacity and price adjustment.…”