Smart Grids Technology and Its Applications

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Industrial Electronics".

Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 1915

Special Issue Editors


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Guest Editor
Electrical and Computer Engineering Department, University of New Brunswick, Fredericton, NB E3B 5A3, Canada
Interests: smart grid communications; vehicular ad hoc networks; data privacy; load forecasting

E-Mail Website
Guest Editor
Department of Electrical & Computer Engineering, University of New Brunswick (UNB), Fredericton, NB E3B 5A3, Canada
Interests: energy forecasting; smart grid automation; renewable energy integration; energy storage and management; smart grid communication and networking; data analytics and machine learning
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Special Issue Information

Dear Colleagues,

The Smart Grid (SG) concept has attracted the research community all over the world over the past decade for transforming the electric power grid using information technologies (i.e., advanced automatic control and communications techniques, among others). These technologies play a crucial role in the realization of the SG concept from generation, transmission and distribution all the way to consumer appliances and equipment. Examples of these technologies are as follows: smart meters, energy storage devices, including electric vehicles, communication systems, IoT and artificial intelligence applications, etc.

The SG concept allows energy to be generated, distributed and consumed more effectively and efficiently. You are welcome to submit an unpublished original research work related to the topic of “Smart Grid Technology and Its Applications”. 

Dr. Ahmad Mohamad Mezher
Prof. Dr. Julian Cardenas Barrera
Guest Editors

Manuscript Submission Information

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Keywords

  • communications and networking
  • control and optimization in smart grids
  • security and privacy
  • machine learning
  • distributed energy resources
  • energy storage
  • distribution automation system
  • electric vehicles
  • IoT
  • optimal/predictive control

Published Papers (1 paper)

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Research

18 pages, 1259 KiB  
Article
Maximizing the Electricity Cost-Savings for Local Distribution System Using a New Peak-Shaving Approach Based on Mixed Integer Linear Programming
by Hossam Mosbah, Eduardo Castillo Guerra and Julian L. Cardenas Barrera
Electronics 2022, 11(21), 3610; https://doi.org/10.3390/electronics11213610 - 4 Nov 2022
Cited by 1 | Viewed by 1335
Abstract
The objective of this study is to perform peak load shaving at a virtual power plant (VPP) to maximize the electricity cost-saving for local distribution companies (LDCs) while satisfying the necessary operational constraints. It can be achieved by implementing an efficient algorithm to [...] Read more.
The objective of this study is to perform peak load shaving at a virtual power plant (VPP) to maximize the electricity cost-saving for local distribution companies (LDCs) while satisfying the necessary operational constraints. It can be achieved by implementing an efficient algorithm to control the conservation voltage reduction technique (CVR) with embedded energy resources (EERs) to optimize electricity costs during peak hours. EERs consist of distributed energy resources (DERs) such as solar and diesel generators and energy storage systems (ESSs) such as utility-scale and residential batteries. An objective function of mixed integer linear programming is formulated as the electricity cost function. Different operational constraints of EERs are formulated to solve the peak shaving optimization problem. The proposed algorithm is tested using data from a real Australian power distribution network. This paper discusses four cases to demonstrate the performance and economic benefits of the control algorithm. Each of these cases illustrates how EERs contribute differently each year, month, and day. Results showed that the proposed algorithm offers significant cost savings and can shave up to three daily peaks. Full article
(This article belongs to the Special Issue Smart Grids Technology and Its Applications)
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