An intelligent system architecture in home energy management systems (HEMS) for efficient demand response in smart grid

Shakeri, Mohammad Taghi; Shayestegan, Mohsen; Abunima, Hamza; Reza, Shamim; Akhtaruzzaman, Md.; Alamoud, Abdulrahman M.; Sopian, Kamaruzzaman; Amin, Nowshad

doi:10.1016/j.enbuild.2016.12.026

Cited by 223 publications

(92 citation statements)

References 13 publications

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“…With the electric grid gradually evolving, the modern day power system integrating smart technologies have reached smart buildings and smart cities . Smart grids assisted with automated metering infrastructure (AMI) communications and software platforms are attracting residential consumers to adopt home energy management system (HEMS) . EVs, another sustainable initiative in transportation industry, are proving to be a promising technology to mitigate GHG emission .…”

Section: Introductionmentioning

confidence: 99%

A price-regulated electric vehicle charge-discharge strategy for G2V, V2H, and V2G

et al. 2018

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Summary Electric vehicles (EVs) and smart grids are gradually revolutionising the transportation sector and electricity sector respectively. In contrast to unplanned charging/discharging, smart use of EV in home energy management system (HEMS) can ensure economic benefit to the EV owner. Therefore, this paper has proposed a new energy pricing controlled EV charging/discharging strategy in HEMS to acquire maximum financial benefit. EV is scheduled to be charged/discharged according to the price of electricity during peak and off‐peak hours. In addition, two different types of EV operation modes, ie, grid‐to‐vehicle (G2V) in off‐peak time and vehicle‐to‐home (V2H) in on‐peak time are considered to determine comparative economic benefit of planned EV charging/discharging. The real load profile of a house in Melbourne and associated electricity pricing is selected for the case study to determine the economic gain. The simulation results illustrate that EV participating in V2H contributes approximately 11.6% reduction in monthly electricity costs compared with G2V operation mode. Although the facility of selling EV energy to the grid is not available currently, the pricing controlled EV charging/discharging presented in the paper can be used if such facility becomes available in the future.

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Section: Introductionmentioning

confidence: 99%

A price-regulated electric vehicle charge-discharge strategy for G2V, V2H, and V2G

et al. 2018

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“…Paper [23] develops a gray-box model for a refrigerator, identified by means of experimental data, to be used in model predictive controls aimed at shifting the refrigerator load for DR purposes. This kind of modelling approach is also useful for Home Energy Management System (HEMS), as proposed in the work [24] that develops a system for executing DR autonomously.…”

Section: Demand Responsementioning

confidence: 99%

Demand side management in refrigeration applications

Arteconi¹,

Polonra²

2017

IJHT

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The refrigeration sector represents an important field of application for demand side management (DSM) strategies. For DSM are intended all those actions addressed to modify the final user's electricity consumption. Considering that refrigeration and air conditioning electricity consumption represent about 17% of the total electricity demand and taking into account the growing market of heat pumps, it is clear the central role of this sector for the implementation of management strategies on demand side. There are already several examples of feasible DSM technologies referred to refrigeration, including thermal energy storage systems, energy efficient devices or control systems by means of which the utility communicates with the final users. Purpose of this paper is to analyze the present state of the art in this field in order to categorize the applications (in terms of technology and range of temperature), list the existing implementation and provide a way to assess the potential flexibility provided to the power system. The results of this work are considered relevant to highlight the importance of refrigeration sector in such context and, thus, to boost the penetration of DSM strategies.

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“…In [24], the rules are used in the context of a microgrid for assuring that the power consumption of the electrical appliances is always lower than the threshold, also exploiting the internal microgeneration. In [25], a rule-based EMS was proposed, which takes advantage of the "Rete" algorithm, a typical pattern-matching algorithm for "if-then" rules.…”

Section: Related Workmentioning

confidence: 99%

Economic Model Predictive and Feedback Control of a Smart Grid Prosumer Node

Liberati¹,

Giorgio

2017

Energies

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This paper presents a two-level control scheme for the energy management of an electricity prosumer node equipped with controllable loads, local generation, and storage devices. The main control objective is to optimize the prosumer's energy bill by means of intelligent load shifting and storage control. A generalized tariff model including both volumetric and capacity components is considered, and user preferences as well as all technical constraints are respected. Simulations based on real household consumption data acquired with a sampling period of 1 s are discussed. The proposed control scheme bestows the prosumer node with the flexibility needed to support smart grid use cases such as bill optimization (i.e., local energy trading), control of the profile at the point of connection with the grid, demand response, and reaction to main supply faults (e.g., islanding operation), etc.

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An intelligent system architecture in home energy management systems (HEMS) for efficient demand response in smart grid

Cited by 223 publications

References 13 publications

A price-regulated electric vehicle charge-discharge strategy for G2V, V2H, and V2G

A price-regulated electric vehicle charge-discharge strategy for G2V, V2H, and V2G

Demand side management in refrigeration applications

Economic Model Predictive and Feedback Control of a Smart Grid Prosumer Node

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