scholarly journals New real‐time demand‐side management approach for energy management systems

2019 ◽  
Vol 2 (2) ◽  
pp. 183-191 ◽  
Author(s):  
Wla E. Elamin ◽  
Mostafa F. Shaaban
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Demand Side Management ◽  
Management Systems ◽  
Management Approach ◽  
Demand Side ◽  
Energy Management Systems

scholarly journals Demand Side Management Techniques for Home Energy Management Systems for Smart Cities

2021 ◽  
Vol 13 (21) ◽  
pp. 11740
Author(s):  
Muhammad Majid Hussain ◽  
Rizwan Akram ◽  
Zulfiqar Ali Memon ◽  
Mian Hammad Nazir ◽  
Waqas Javed ◽  
...  
Keyword(s):  
Energy Management ◽  
Smart Grids ◽  
Management System ◽  
Smart Cities ◽  
Demand Side Management ◽  
Management Systems ◽  
Demand Side ◽  
Pv System ◽  
Energy Management Systems ◽  
Home Energy Management

In this paper, three distinct distributed energy resources (DERs) modules have been built based on demand side management (DSM), and their use in power management of dwelling in future smart cities has been investigated. The investigated modules for DERs system are: incorporation of load shedding, reduction of grid penetration with renewable energy systems (RES), and implementation of home energy management systems (HEMS). The suggested approaches offer new potential for improving demand side efficiency and helping to minimize energy demand during peak hours. The main aim of this work was to investigate and explore how a specific DSM strategy for DER may assist in reducing energy usage while increasing efficiency by utilizing new developing technology. The Electrical Power System Analysis (ETAP) software was used to model and assess the integration of distributed generation, such as RES, in order to use local power storage. An energy management system has been used to evaluate a PV system with an individual household load, which proved beneficial when evaluating its potential to generate about 20–25% of the total domestic load. In this study, we have investigated how smart home appliances’ energy consumption may be minimized and explained why a management system is required to optimally utilize a PV system. Furthermore, the effect of integration of wind turbines to power networks to reduce the load on the main power grid has also been studied. The study revealed that smart grids improve energy efficiency, security, and management whilst creating environmental awareness for consumers with regards to power usage.

scholarly journals AN OPTIMISATION APPROACH TOWARD ONBOARD ENERGY MANAGEMENT SYSTEMS: MODELLING AND SIMULATION OF SUPPLY SIDE

2012 ◽  
Vol 11 (1) ◽  
pp. 1
Author(s):  
HADI SUROSO ◽  
ONTOSENO PENANGSANG
Keyword(s):  
Energy Management ◽  
Economic Dispatch ◽  
Operating Cost ◽  
Electric Power System ◽  
Management Systems ◽  
Supply Side ◽  
Optimization Approach ◽  
Demand Side ◽  
Cost Index ◽  
Energy Management Systems

Optimization in the operation of electric power system is an important task for both inland and onboard. The objective is to minimize operating cost index. Taking advantage of thescheme that onboard operator has the authority not only in the supply side but also in the demandside, an optimization approach toward onboard energy management systems based onintegrated model for supply and demand side is being developed. The model utilizes unit commitmentand economic dispatch in the supply side and load management based on multipleattribute decision-making in the demand side. As a part of the whole concept, this paper focuseson the modeling and simulation of demand side. A user friendly demand side model consistingof Unit Commitment and Economic Dispatch is developed by using LabVIEW, LaboratoryVirtual Instrument Engineering Workbench. Data taken from 3 units of Steam Power Plantare simulated. It is then eventually confirmed that 9% total cost saving can be achieved in theselected load demand range

scholarly journals A real-time evaluation of energy management systems for smart hybrid home Microgrids

2017 ◽  
Vol 143 ◽  
pp. 624-633 ◽  
Author(s):  
Mousa Marzband ◽  
Seyedeh Samaneh Ghazimirsaeid ◽  
Hasan Uppal ◽  
Terrence Fernando
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Management Systems ◽  
Energy Management Systems ◽  
Time Evaluation

Rapid Control Prototyping in the Development of Home Energy Management Systems

2014 ◽  
Vol 659 ◽  
pp. 395-400 ◽  
Author(s):  
Ciprian Lapusan ◽  
Radu Balan ◽  
Olimpiu Hancu ◽  
Ciprian Rad
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Control Strategies ◽  
Management Systems ◽  
Real Time Control ◽  
Energy Management Systems ◽  
Heating And Cooling ◽  
Home Energy Management ◽  
Rapid Control ◽  
Rapid Control Prototyping

The article investigates the development of home energy management systems based on real-time control algorithms and online identification. The proposed system optimizes the energy consumption for heating and cooling of a household using model predictive control strategies. The virtual prototype of the energy management system is developed, simulated and optimized using Matlab/Simulink. The simulated system is then implemented using dSpace platform and rapid control prototyping on real-time hardware and tested on a laboratory surrogate system. The system performance is evaluated by comparing the results with the response of classic systems used for heating and cooling in domestic houses. The obtained results confirmed the viability of the proposed solution in home energy management systems.

A methodology for detection and classification of power quality disturbances using a real‐time operating system in the context of home energy management systems

2020 ◽  
Vol 45 (1) ◽  
pp. 203-219
Author(s):  
Wilson L. Rodrigues Junior ◽  
Fabbio A. S. Borges ◽  
Ricardo de A. L. Rabelo ◽  
Joel J. P. C. Rodrigues ◽  
Ricardo A. S. Fernandes ◽  
...  
Keyword(s):  
Operating System ◽  
Real Time ◽  
Power Quality ◽  
Energy Management ◽  
Management Systems ◽  
Real Time Operating System ◽  
Energy Management Systems ◽  
Home Energy Management ◽  
Power Quality Disturbances

scholarly journals A Forecast-Based Load Management Approach for Commercial Buildings Demonstrated on an Integration of BEV

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3576
Author(s):  
Thomas Steens ◽  
Jan-Simon Telle ◽  
Benedikt Hanke ◽  
Karsten von Maydell ◽  
Carsten Agert ◽  
...  
Keyword(s):  
Deep Learning ◽  
Energy Management ◽  
Short Term Memory ◽  
Load Forecasting ◽  
Management Systems ◽  
Management Approach ◽  
Feed Forward Neural Network ◽  
Learning Methods ◽  
Existing Building ◽  
Energy Management Systems

Load-forecasting problems have already been widely addressed with different approaches, granularities and objectives. Recent studies focused not only on deep learning methods but also on forecasting loads on single building level. This study aims to research problems and possibilities arising by using different load-forecasting techniques to manage loads. For that behavior of two neural networks, Long Short-Term Memory and Feed-Forward Neural Network as well as two statistical methods, standardized load profiles and personalized standardized load profiles are analyzed and assessed by using a sliding-window forecast approach. The results show that personalized standardized load profiles (MAE: 3.99) can perform similar to deep learning methods (for example, LSTM MAE: 4.47). However, because of the simplistic approach, load profiles are not able to adapt to new patterns. As a case study for evaluating the support of load-forecasting for applications in energy management systems, the integration of charging stations into an existing building is simulated by using load-forecasts to schedule the charging procedures. It is shown that forecast- based controlled charging can have a significant impact by lowering overload peaks exceeding the house connection point power limit (controlled charging 20.24 kW; uncontrolled charging: 65.15 kW) while slightly increasing average charging duration. It is concluded that integration of high flexible loads can be supported by using forecast-based energy management systems with regards to their limitations.

Sign in / Sign up

Export Citation Format

Share Document