Værbak et al., 2024 - Google Patents
A Digital Twin Framework for Simulating Distributed Energy Resources in Distribution GridsVærbak et al., 2024
View HTML- Document ID
- 8388004567683820196
- Author
- Værbak M
- Billanes J
- Jørgensen B
- Ma Z
- Publication year
- Publication venue
- Energies
External Links
Snippet
As the adoption of distributed energy resources (DERs) grows, the future of electricity distribution systems is confronted with significant challenges. These challenges arise from the transformation of consumers into prosumers and the resulting increased system …
- 238000009826 distribution 0 title abstract description 85
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
- G06Q10/0631—Resource planning, allocation or scheduling for a business operation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
- G06Q10/0639—Performance analysis
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/01—Social networking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
- G06Q30/0202—Market predictions or demand forecasting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Houbbadi et al. | Optimal scheduling to manage an electric bus fleet overnight charging | |
Ghotge et al. | Optimized scheduling of EV charging in solar parking lots for local peak reduction under EV demand uncertainty | |
Muqeet et al. | Sustainable solutions for advanced energy management system of campus microgrids: Model opportunities and future challenges | |
Lee et al. | Design and implementation of a microgrid energy management system | |
Hesse et al. | Ageing and efficiency aware battery dispatch for arbitrage markets using mixed integer linear programming | |
Aluisio et al. | DC-microgrid operation planning for an electric vehicle supply infrastructure | |
Ji et al. | Accelerated model predictive control for electric vehicle integrated microgrid energy management: A hybrid robust and stochastic approach | |
Abronzini et al. | Cost minimization energy control including battery aging for multi-source EV charging station | |
Iqbal et al. | The impact of V2G charging/discharging strategy on the microgrid environment considering stochastic methods | |
Das et al. | A risk curtailment strategy for solar PV-battery integrated competitive power system | |
Ullah et al. | Demand side management strategy for multi-objective day-ahead scheduling considering wind energy in smart grid | |
Bai et al. | Reliability evaluation of a distribution network with microgrid based on a combined power generation system | |
Bhattarai et al. | Multi-time scale control of demand flexibility in smart distribution networks | |
Davydenko et al. | Smart Sustainable Freight Transport for a City Multi-Floor Manufacturing Cluster: A Framework of the Energy Efficiency Monitoring of Electric Vehicle Fleet Charging | |
Hussain et al. | Goal-programming-based multi-objective optimization in off-grid microgrids | |
Moya et al. | Optimal model for energy management strategy in smart building with energy storage systems and electric vehicles | |
Jacqué et al. | The influence of frequency containment reserve on the operational data and the state of health of the hybrid stationary large-scale storage system | |
You et al. | An overview of modeling approaches applied to aggregation-based fleet management and integration of plug-in electric vehicles | |
Han et al. | Study on EV charging peak reduction with V2G utilizing idle charging stations: The Jeju Island case | |
Guerrero et al. | Distributed charging prioritization methodology based on evolutionary computation and virtual power plants to integrate electric vehicle fleets on smart grids | |
Akil et al. | The SOC based dynamic charging coordination of EVs in the PV-penetrated distribution network using real-world data | |
Tightiz et al. | An interoperable communication framework for grid frequency regulation support from microgrids | |
Almughram et al. | Model for Managing the Integration of a Vehicle-to-Home Unit into an Intelligent Home Energy Management System | |
Thirumalai et al. | Optimizing distribution system resilience in extreme weather using prosumer-centric microgrids with integrated distributed energy resources and battery electric vehicles | |
Almutairi | Impact assessment of diverse EV charging infrastructures on overall service reliability |