A Novel Fuzzy based Intelligent Demand Side Management for Automated Load Scheduling

Karna, Dhairya; Vikram, Aditya; Kumar, Astitva; Rizwan, M.

doi:10.1109/icgea49367.2020.239701

Cited by 4 publications

(3 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The research proposed a threat taxonomy that included: 1) vulnerabilities to system-level security; 2) vulnerabilities to services and/or theft; and 3) challenges to privacy. The paper developed a set of security and privacy standards for SG metering networks based on the dangers presented [51,52,53]. Also, the article reviewed various strategies that have been proposed to manage these concerns, weighing the benefits and drawbacks of each, and finally investigated outstanding research challenges in SG metering networks to shed new light on future studies prospects.…”

Section: Related Workmentioning

confidence: 99%

A Comprehensive Review on Smart Grid Ecosystem

Okafor¹,

Edeagu²,

Chijindu³

et al. 2023

IDOSR JAS

View full text Add to dashboard Cite

A smart grid is an intervention technology for the massive energy demand of the world today. It combines cyber-physical technologies, information communication technology, and electrical power networks from the generating company stations to the end-users while ensuring bidirectional communication among the actors. The smart grid is a complex growing technology that is yet to reach its maturity state. This paper seeks to examine the literature on the state of the art of smart grid technology both from the industry perspective and from academia. To this end, a literature review with a qualitative deductive approach built on the National Institute of Standards and Technology (NIST) guideline and the simplified International Telecommunication Union Telecommunication Standardization Sector (ITU-T) five-domain model were used as a guide to this research. Furthermore, the paper reviewed Smart Grid data centre topologies and identified prospects in spine-leaf architecture as a promising architecture that can be adapted in a smart grid ecosystem data centre design. The literature was searched from the databases: IEEE Xplore Digital Library, Springer Link Digital Library, and Google Scholar, IET Digital Library, Frontiers Library, ACM Digital Library repositories resulting in 151 papers after several exclusions. The work reviewed relevant literatures published from 2002 to 2021 and grouped the reviewed papers according to the key domains of the NIST/ITU-T model. Based on the evaluated literature, the need for more built-in predictive learning curves in smart grid systems and robust Smart grid architecture with enhanced data centre design for Smart grid systems is observed and recommended Keywords: Smart Grid, Smart Metre, Data Centre Computing, Distributed Energy, Protocols

show abstract

Section: Related Workmentioning

confidence: 99%

A Comprehensive Review on Smart Grid Ecosystem

Okafor¹,

Edeagu²,

Chijindu³

et al. 2023

IDOSR JAS

View full text Add to dashboard Cite

show abstract

“…In this respect, relatively new applications for DSM help grid operators to balance intermittent generation of wind and solar units, especially with timing and sizing of energy demand [46]. In many studies, battery systems and active load control have been investigated to optimize load predictability against uncertainties in RES generation and to solve the scheduling problem [47][48][49][50][51][52][53][54][55][56][57][58]. A smart meter and smart DSM system using FL-based algorithms by addressing the uncertainties of RES is implemented and achieved 15% energy savings by providing digital communication [47].…”

Section: Scheduling and Optımızationmentioning

confidence: 99%

“…In many studies, battery systems and active load control have been investigated to optimize load predictability against uncertainties in RES generation and to solve the scheduling problem [47][48][49][50][51][52][53][54][55][56][57][58]. A smart meter and smart DSM system using FL-based algorithms by addressing the uncertainties of RES is implemented and achieved 15% energy savings by providing digital communication [47]. An FL-based smart controller is developed to control charge and discharge status of the battery according to the power generation of PV and consumption status [48].…”

Section: Scheduling and Optımızationmentioning

confidence: 99%

Demand-Side Energy Management in Smart Buildings: A Case Study

HASANOVA¹,

Neşe²

2021

European Journal of Technic

View full text Add to dashboard Cite

Electrical energy is indispensable in our daily life with the developing technology. The most important feature is reliable and sustainable transmission of electrical energy to consumers is to provide the supply-demand balance in real-time. The ever-increasing demand for electrical energy, gradual depletion of traditional resources used to meet demand, and increasing dependence on foreign sources resulted in diverse electricity generation plants. As a result of this diversity, with the increase in the importance of electricity storage systems and awareness of energy-saving, Demand Side Management (DSM) gains great importance in ensuring supply-demand balance. DSM reduces costs by scheduling consumption instead of increasing generation to balance supply and demand. Residences constitute a large part of energy consumption worldwide, so DSM applications in buildings increase efficient usage of energy. Various management strategies can be used to save energy depending on the building type. In this article, an overview of Energy Management System (EMS) strategies to increase energy efficiency is presented. Then a case study is carried out in a residential model in Matlab/Simulink environment. The electrical devices were controlled with a Fuzzy Logic Controller (FLC), taking into account comfort, cost, and Demand Response (DR). In addition, Renewable Energy Resources (RES) to demonstrate their contribution were modelled and integrated into the system. Finally, case studies were conducted, and a comparative analysis of obtained results was carried out.

show abstract