Demand-Side Management in Micro-Grids and Distribution Systems: Handling System Uncertainties and Scalabilities

2018 ◽  
pp. 361-387
Author(s):  
Yubo Wang ◽  
Hamidreza Nazaripouya
Keyword(s):  
Distribution Systems ◽  
Demand Side Management ◽  
Demand Side ◽  
Handling System ◽  
System Uncertainties ◽  
Micro Grids

scholarly journals Effect of Demand Side Management on the Operation of PV-Integrated Distribution Systems

2020 ◽  
Vol 10 (21) ◽  
pp. 7551
Author(s):  
Jaser A. Sa’ed ◽  
Zakariya Wari ◽  
Fadi Abughazaleh ◽  
Jafar Dawud ◽  
Salvatore Favuzza ◽  
...  
Keyword(s):  
Distributed Generation ◽  
Smart Grids ◽  
Distribution Systems ◽  
Electrical Energy ◽  
Demand Side Management ◽  
Test System ◽  
Demand Side ◽  
Direct Load Control ◽  
Wide Range ◽  
Load Shape

In this new era of high electrical energy dependency, electrical energy must be abundant and reliable, thus smart grids are conducted to deliver load demands. Hence, smart grids are implemented alongside distributed generation of renewable energies to increase the reliability and controllability of the grid, but, with the very volatile nature of the Distributed Generation (DG), Demand Side Management (DSM) helps monitor and control the load shape of the consumed power. The interaction of DSM with the grid provides a wide range of mutual benefits to the user, the utility and the market. DSM methodologies such as Conservation Voltage Reduction (CVR) and Direct Load Control (DLC) collaborate in the reduction of plant generation and reciprocally to the comprehensive cost. The aim of this paper is to investigate the effects caused by the implementation of DSM on the operation of PV-integrated distribution systems. The algorithms of CVR, DLC and the combination of CVR and DLC were implemented using OpenDSS and MATLAB. The effectiveness of the aforementioned schemes was verified on IEEE 30-Bus test system. Various possible integration scenarios between Photovoltaic (PV) and DSM schemes are illustrated. The optimal integration of such schemes constraining the reduction of energy consumed by the user and utility is presented. The results show that the implemented DSM algorithms provide a noticeable reduction in energy losses and reduction in consumed energy.

scholarly journals A Heuristic to Create Prosumer Community Groups in the Social Internet of Energy

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3704 ◽  
Author(s):  
Víctor Caballero ◽  
David Vernet ◽  
Agustín Zaballos
Keyword(s):  
Information And Communication Technologies ◽  
Power Distribution ◽  
Energy Production ◽  
Distribution Systems ◽  
Rapid Evolution ◽  
Demand Side Management ◽  
Demand Side ◽  
Community Groups ◽  
Production And Consumption ◽  
Management Services

Contrary to the rapid evolution experienced in the last decade of Information and Communication Technologies and particularly the Internet of Things, electric power distribution systems have remained exceptionally steady for a long time. Energy users are no longer passive actors; the prosumer is expected to be the primary agent in the Future Grid. Demand Side Management refers to the management of energy production and consumption at the demand side, and there seems to be an increasing concern about the scalability of Demand Side Management services. The creation of prosumer communities leveraging the Smart Grid to improve energy production and consumption patterns has been proposed in the literature, and several works concerned with scalability of Demand Side Management services group prosumers to improve Demand Side Management services scalability. In our previous work, we coin the term Social Internet of Energy to refer to the integration between devices, prosumers and groups of prosumers via social relationships. In this work, we develop an algorithm to coordinate the different clusters we create using the clustering method by load profile compatibility (instead of similarity). Our objective is to explore the possibilities of the cluster-by-compatibility heuristic we proposed in our previous work. We perform experiments using synthetic and real datasets. Results show that we can obtain a global reduction in Peak-to-Average Ratio with datasets containing up to 200 rosumers and creating up to 6 Prosumer Community Groups, and imply that those Prosumer Community Groups can perform load rescheduling semi-autonomously and in parallel with each other.

scholarly journals Demand-Side Management for Improvement of the Power Quality in Smart Homes Using Non-Intrusive Identification of Appliance Usage Patterns with the True Power Factor

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4837
Author(s):  
Hari Prasad Devarapalli ◽  
Venkata Samba Sesha Siva Sarma Dhanikonda ◽  
Sitarama Brahmam Gunturi
Keyword(s):  
Power Quality ◽  
Power Factor ◽  
Distribution Systems ◽  
Low Voltage ◽  
Harmonic Distortion ◽  
Smart Homes ◽  
Demand Side Management ◽  
Usage Pattern ◽  
Demand Side ◽  
Current Harmonics

The proliferation of low-power consumer electronic appliances (LPCEAs) is on the rise in smart homes in order to save energy. On the flip side, the current harmonics induced due to these LPCEAs pollute low-voltage distribution systems’ (LVDSs’) supplies, leading to a poor power factor (PF). Further, the energy meters in an LVDS do not measure both the total harmonic distortion (THD) of the current and the PF, resulting in inaccurate billing for energy consumption. In addition, this impacts the useful lifetime of LPCEAs. A PF that takes the harmonic distortion into account is called the true power factor (TPF). It is imperative to measure it accurately. This article measures the TPF using a four-term minimal sidelobe cosine-windowed enhanced dual-spectrum line interpolated Fast Fourier Transform (FFT). The proposed method was used to measure the TPF with a National Instruments cRIO-9082 real-time (RT) system, and four different LPCEAs in a smart home were considered. The RT results exhibited that the TPF uniquely identified each usage pattern of the LPCEAs and could use them to improve the TPF by suggesting an alternative usage pattern to the consumer. A positive response behavior on the part of the consumer that is in their interest can improve the power quality in a demand-side management application.

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