scholarly journals A Novel Design of Energy Management and Control for Smart Microgrids in Urban Buildings

2018 ◽  
Vol 7 (4.44) ◽  
pp. 1 ◽  
Author(s):  
Y. V. Pavan Kumar
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Available Energy ◽  
Urban Buildings ◽  
Smart Energy Management ◽  
Import And Export ◽  
Utility Grid ◽  
Power Needs ◽  
Industrial Zones ◽  
And Control

Microgrids are becoming a popular way to cater the sustaining power needs of urban community loads as buildings of financial districts, universities, industrial zones, gated communities etc. Effective utilization of available energy resources and smart management of operating loads will increase level of supply reliability and reduces the utility grid dependency. With this intent, this paper proposes an original philosophy of designing Smart Energy Management and Control (SEMC) algorithm to transform microgrids as smarter grids. Building microgrid system is modeled using MATLAB/Simulink and is interfaced with real time controller via data acquisition system to form Hardware In the Loop (HIL) setup. This real time controller is realized through Programmable Logic Controller (PLC) by using SEMC algorithm. SEMC manages the available energy sources as well as operating loads based on their availability and priority to supply the total instantaneous load on the microgrid. The proposed algorithm can also facilitate utility grid interaction for import and export of power in deficit and excess available power conditions respectively. From the implementation of the proposed algorithm, the obtained results show that the proposed system ensures reliable and stable supply to building loads.  

scholarly journals Evaluation and Selection of Integrated Energy System Construction Scheme Equipped with Smart Energy Management and Control Platform Using Single-Valued Neutrosophic Numbers

2021 ◽  
Vol 13 (5) ◽  
pp. 2615
Author(s):  
Junqing Wang ◽  
Wenhui Zhao ◽  
Lu Qiu ◽  
Puyu Yuan
Keyword(s):  
Energy Management ◽  
Evaluation Criteria ◽  
Energy System ◽  
System Construction ◽  
Interval Numbers ◽  
Construction Scheme ◽  
Smart Energy Management ◽  
Integrated Energy System ◽  
And Control ◽  
Selection Of

Since application of integrated energy systems (IESs) has formed a markedly increasing trend recently, selecting an appropriate integrated energy system construction scheme becomes essential to the energy supplier. This paper aims to develop a multi-criteria decision-making model for the evaluation and selection of an IES construction scheme equipped with smart energy management and control platform. Firstly, a comprehensive evaluation criteria system including economy, energy, environment, technology and service is established. The evaluation criteria system is divided into quantitative criteria denoted by interval numbers and qualitative criteria. Secondly, single-valued neutrosophic numbers are adopted to denote the qualitative criteria in the evaluation criteria system. Thirdly, in order to accommodate mixed data types consisting of both interval numbers and single-valued neutrosophic numbers, the TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method is extended into a three-stage technique by introducing a fusion coefficient μ. Then, a real case in China is evaluated through applying the proposed method. Furthermore, a comprehensive discussion is made to analyze the evaluation result and verify the reliability and stability of the method. In short, this study provides a useful tool for the energy supplier to evaluate and select a preferred IES construction scheme.

scholarly journals Field-Validated Communication Systems for Smart Microgrid Energy Management in a Rural Microgrid Cluster

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6329
Author(s):  
Hiranmay Samanta ◽  
Abhijit Das ◽  
Indrajt Bose ◽  
Joydip Jana ◽  
Ankur Bhattacharjee ◽  
...  
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Communication Systems ◽  
Renewable Energy Sources ◽  
Distribution Networks ◽  
Energy Sources ◽  
Practical Case ◽  
Solar Photovoltaic ◽  
Management Scheme ◽  
Smart Energy Management

This paper demonstrates a smart energy management scheme for solar photovoltaic-biomass integrated grid-interactive microgrid cluster system. Three interconnected microgrids were chosen as a cluster of microgrids for validation of the proposed community energy management scheme. In this work, a Global System for Mobile (GSM)-based bidirectional communication technique was adopted for real-time coordination among the renewable energy sources and loads. To realize the common phenomenon of local grid outage in rural distribution networks, a practical case study is designed in this work. The optimized scheduling of the energy sources and loadsof different microgrids and the distribution grid were implemented to ensure zero loss of power supply probability (LPSP) for dynamic load profiles. The laboratory-scale prototype of the proposed microgrid clustering was first developed in this work by establishing real-time communication among multiple energy sources and loads through different energymeters located at different places inside the academic campus. The field validation was performed with a microgrid cluster consisting of 45 kWP solar photovoltaic, 50 kVA biogas plant, community loads in a village. The developed smart energy management solution is a generalized one and applicable to satisfy scalable community energy demands as well.

scholarly journals A Novel Robust Smart Energy Management and Demand Reduction for Smart Homes Based on Internet of Energy

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4756
Author(s):  
Bilal Naji Alhasnawi ◽  
Basil H. Jasim ◽  
Zain-Aldeen S. A. Rahman ◽  
Pierluigi Siano
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Optimization Algorithm ◽  
Artificial Bee Colony ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Bee Colony ◽  
Home Energy Management ◽  
Grid Topology ◽  
Smart Energy Management

In residential energy management (REM), Time of Use (ToU) of devices scheduling based on user-defined preferences is an essential task performed by the home energy management controller. This paper devised a robust REM technique capable of monitoring and controlling residential loads within a smart home. In this paper, a new distributed multi-agent framework based on the cloud layer computing architecture is developed for real-time microgrid economic dispatch and monitoring. In this paper the grey wolf optimizer (GWO), artificial bee colony (ABC) optimization algorithm-based Time of Use (ToU) pricing model is proposed to define the rates for shoulder-peak and on-peak hours. The results illustrate the effectiveness of the proposed the grey wolf optimizer (GWO), artificial bee colony (ABC) optimization algorithm based ToU pricing scheme. A Raspberry Pi3 based model of a well-known test grid topology is modified to support real-time communication with open-source IoE platform Node-Red used for cloud computing. Two levels communication system connects microgrid system, implemented in Raspberry Pi3, to cloud server. The local communication level utilizes IP/TCP and MQTT is used as a protocol for global communication level. The results demonstrate and validate the effectiveness of the proposed technique, as well as the capability to track the changes of load with the interactions in real-time and the fast convergence rate.

scholarly journals The Potential of Harnessing Real-Time Occupancy Data for Improving Energy Performance of Activity-Based Workplaces

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 230
Author(s):  
Arianna Brambilla ◽  
Christhina Candido ◽  
Isuru Hettiarachchi ◽  
Leena Thomas ◽  
Ozgur Gocer ◽  
...  
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Management Strategies ◽  
Energy Performance ◽  
Fine Grid ◽  
Energy Management Systems ◽  
Occupancy Patterns ◽  
Smart Energy Management ◽  
One Year ◽  
Definition Of

Currently, the available studies on the prediction of building energy performance and real occupancy data are typically characterized by aggregated and averaged occupancy patterns or large thermal zones of reference. Despite the increasing diffusion of smart energy management systems and the growing availability of longitudinal data regarding occupancy, these two domains rarely inform each other. This research aims at understanding the potential of employing real-time occupancy data to identify better cooling strategies for activity-based-working (ABW)-supportive offices and reduce the overall energy consumption. It presents a case study comparing the energy performance of the office when different resolutions of occupancy and thermal zoning are applied, ranging from the standard energy certification approach to real-time occupancy patterns. For the first time, one year of real-time occupancy data at the desk resolution, captured through computer logs and Bluetooth devices, is used to investigate this issue. Results show that the actual cooling demand is 9% lower than predicted, unveiling the energy-saving potential to be achieved from HVAC systems for non-assigned seating environments. This research demonstrates that harnessing real-time occupancy data for demand-supply cooling management at a fine-grid resolution is an efficient strategy to reduce cooling consumption and increase workers’ comfort. It also emphasizes the need for more data and monitoring campaigns for the definition of more accurate and robust energy management strategies.

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