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Grant: Discovery Grants Program - Individual

Carleton University

$56,000.00

Grid-Edge Distributed Energy Resource Energy Management System

FY 2023-24

Summary
Renewable energy technologies, together with advances in energy efficiency, are being used globally to reduce greenhouse gas emissions and to relieve the energy crisis brought on by the depletion of fossil fuels. Representing a growing part of the smart grid model for the electric power industry, renewable and distributed energy resource (DER) units such as photovoltaic (PV) panels or electric vehicles, will be connected to the power distribution systems in increasing numbers. They are used as an enhancement of the traditional electric power grid to provide high-quality, reliable electricity at the utility customer sites. Existing power distributions systems, however, impose several constraints on DER interconnection because of safety, economics, and lack of knowledge and tools to support large-scale integration of DER. Significant research is required to mitigate the gap between the characteristics of DER such as variability, uncertainty and distribution, and the restricted grid operation and regulation standards of utilities. Within this context of DER integration challenges, this research program proposes a grid-edge demand response (DR) energy management system (EMS) solution designed for neighborhood homes, to realize the full potential for extracting the latent capacity and performance available in home energy systems with DER on a real-time basis. The solution aims to bridge home energy management systems (HEMS) with the grid to uphold grid integrity i.e., energy supply-demand balance, plus infrastructure dynamic capacity and optimal health aspects. Elements of the proposed DR system include HEMS agent (HA), grid-edge agent (GA), utility back office and the communication system. The intent with this novel project is to explore the optimization of grid capacity management within localized areas through negotiation between devices that use or produce electricity. The outcomes of the to be lab-proven DR-EMS solution will bring value to many more stakeholders like electricity customers, business developers, transmitters, market operators, and especially the utilities.
Program
Discovery Grants Program - Individual
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
RGPIN-2019-06328
Name nom
Wang, Xiaoyu
Department département
Electronics - Electronics
Organization id
23
Institution établissement
Carleton University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2019
Award amount
56000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1510
Committee name en
Electrical and Computer Engineering
Committee name fr
Génie électrique et informatique
Area of application code
300
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Energy resources (including production, exploration, processing, distribution and use)
Area of application fr
Ressources d'énergie (production, exploration, traitement, distribution et utilisation de l'énergie)
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Not available
Research subject en
Non disponible
Research subject fr
Non disponible
Application title
Grid-Edge Distributed Energy Resource Energy Management System
Keyword
distributed energy resources; distributed generation; distribution systems; electric vehicle; energy management system; energy storage; photovoltaic generation; power electronics modeling and control; power system optimization; power system planning and operation
Application summary
Renewable energy technologies, together with advances in energy efficiency, are being used globally to reduce greenhouse gas emissions and to relieve the energy crisis brought on by the depletion of fossil fuels. Representing a growing part of the smart grid model for the electric power industry, renewable and distributed energy resource (DER) units such as photovoltaic (PV) panels or electric vehicles, will be connected to the power distribution systems in increasing numbers. They are used as an enhancement of the traditional electric power grid to provide high-quality, reliable electricity at the utility customer sites. Existing power distributions systems, however, impose several constraints on DER interconnection because of safety, economics, and lack of knowledge and tools to support large-scale integration of DER. Significant research is required to mitigate the gap between the characteristics of DER such as variability, uncertainty and distribution, and the restricted grid operation and regulation standards of utilities. Within this context of DER integration challenges, this research program proposes a grid-edge demand response (DR) energy management system (EMS) solution designed for neighborhood homes, to realize the full potential for extracting the latent capacity and performance available in home energy systems with DER on a real-time basis. The solution aims to bridge home energy management systems (HEMS) with the grid to uphold grid integrity i.e., energy supply-demand balance, plus infrastructure dynamic capacity and optimal health aspects. Elements of the proposed DR system include HEMS agent (HA), grid-edge agent (GA), utility back office and the communication system. The intent with this novel project is to explore the optimization of grid capacity management within localized areas through negotiation between devices that use or produce electricity. The outcomes of the to be lab-proven DR-EMS solution will bring value to many more stakeholders like electricity customers, business developers, transmitters, market operators, and especially the utilities.
Carleton University - $56,000 Grant (2023-24) | Canada Spends