scholarly journals Power Scheduling Scheme for DSM in Smart Homes with Photovoltaic and Energy Storage

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8571
Author(s):  
Sławomir Zator
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Management System ◽  
Energy Demand ◽  
Government Support ◽  
Photovoltaic System ◽  
Energy Management System ◽  
Home Energy Management ◽  
Home Energy Management System ◽  
The Impact

This article presents a case study of a single-family house with several photovoltaic micro-installations oriented in different directions, in which the energy electricity storage systems have been operating for several months. In the house, the heat source is the air–water heat pump cooperating with heat buffers. The first photovoltaic installation was installed in 2016 and, in the subsequent five years, was expanded using microinverters. The final amount of energy from photovoltaics covers 50% of the energy demand of the building. The procedure for dealing with technical and economic aspects was presented, allowing us to determine whether it is profitable to install energy storage in the given conditions of energy prices, equipment efficiency, and prices, as well as government support. This paper presents the effects of the designed and built home energy management system that supervises energy storage in heat and batteries, mainly through its impact on the self-consumption of energy from the photovoltaic system and on final costs. Comparative calculations were performed with the demand-side management, which dictated the instantaneous energy costs. Attention was paid to the possibility of obtaining a high self-consumption, but the economic calculations showed that it was not always beneficial. An annual self-consumption increased by approximately one-sixth upon installation of the electrical energy storage system and by one-third from the start of use of the home energy management system. Concurrently, by utilising energy storage in heat and batteries, almost 95% of energy was consumed in the cheapest multi-zone tariff. The impact of inverters and battery charging systems on the power grid is also presented. Often, when the active energy was nearing zero, the capacitive reactive energy was significant.

scholarly journals Integration of Electric Vehicles and Energy Storage System in Home Energy Management System with Home to Grid Capability

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8557
Author(s):  
Arshad Mohammad ◽  
Mohd Zuhaib ◽  
Imtiaz Ashraf ◽  
Marwan Alsultan ◽  
Shafiq Ahmad ◽  
...  
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Energy Cost ◽  
Management System ◽  
Economic Benefits ◽  
Binary Particle Swarm Optimization ◽  
Energy Management System ◽  
Multi Objective ◽  
Home Energy Management ◽  
Home Energy Management System

In this paper, we proposed a home energy management system (HEMS) that includes photovoltaic (PV), electric vehicle (EV), and energy storage systems (ESS). The proposed HEMS fully utilizes the PV power in operating domestic appliances and charging EV/ESS. The surplus power is fed back to the grid to achieve economic benefits. A novel charging and discharging scheme of EV/ESS is presented to minimize the energy cost, control the maximum load demand, increase the battery life, and satisfy the user’s-traveling needs. The EV/ESS charges during low pricing periods and discharges in high pricing periods. In the proposed method, a multi-objective problem is formulated, which simultaneously minimizes the energy cost, peak to average ratio (PAR), and customer dissatisfaction. The multi-objective optimization is solved using binary particle swarm optimization (BPSO). The results clearly show that it minimizes the operating cost from 402.89 cents to 191.46 cents, so that a reduction of 52.47% is obtained. Moreover, it reduces the PAR and discomfort index by 15.11% and 16.67%, respectively, in a 24 h time span. Furthermore, the home has home to grid (H2G) capability as it sells the surplus energy, and the total cost is further reduced by 29.41%.

scholarly journals Economically Effective and Intelligently Responsive Home Energy Management System

2019 ◽  
Vol 38 (3) ◽  
pp. 581-598
Author(s):  
Muhammad Irfan Mushtaq ◽  
Asif Siddiq ◽  
Muhammad Owais Tariq ◽  
Akbar Ali ◽  
Anum Zahra
Keyword(s):  
Energy Management ◽  
Management System ◽  
Energy Demand ◽  
Peak Time ◽  
Energy Management System ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Home Energy Management ◽  
Diesel Generators ◽  
Home Energy Management System

Energy management in home is one of the major issue now-a-days. There are different types of load like shiftable, non-shiftable, seasonal loads and auxiliary loads. In this research article, an energy management system is proposed for home which helps to schedule different loads on the basis of their types and price. It will help to minimize the cost of electricity by shifting load from peak time to off peak time. Emission will be minimized by charging penalty by adopting multi-objective optimization. Each source of energy has its own price of penalty with respect to time. Penalty is charged to minimize the use of sources like commercial supply and diesel generators which emits hazardous gases. In proposed model, user will get electricity from commercial supply, diesel generators and solar panels to provide continuous supply of electricity to fulfill the energy demand. The shiftable loads will be shifted from peak time to off peak time and higher price source to lower price source to minimize the overall price. In this research, we have proposed an EEIR (Economically Effective and Intelligently Responsive) HEMS (Home Energy Management System) by solving multi-objective optimization problem from BILP (Binary Integer Linear Programming) using branch and bound algorithm.

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