scholarly journals Energy Flexometer: Transactive Energy-Based Internet of Things Technology

Energies ◽  
2018 ◽  
Vol 11 (3) ◽  
pp. 568 ◽  
Author(s):  
Muhammad Babar ◽  
Jakub Grela ◽  
Andrzej Ożadowicz ◽  
Phuong Nguyen ◽  
Zbigniew Hanzelka ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Energy Management ◽  
Power Distribution ◽  
Distribution System ◽  
Energy System ◽  
Evaluation Study ◽  
New Paradigm ◽  
Power Distribution System ◽  
Transactive Energy ◽  
Internet Of Things Technology

Effective Energy Management with an active Demand Response (DR) is crucial for future smart energy system. Increasing number of Distributed Energy Resources (DER), local microgrids and prosumers have an essential and real influence on present power distribution system and generate new challenges in power, energy and demand management. A relatively new paradigm in this field is transactive energy (TE), with its value and market-based economic and technical mechanisms to control energy flows. Due to a distributed structure of present and future power system, the Internet of Things (IoT) environment is needed to fully explore flexibility potential from the end-users and prosumers, to offer a bid to involved actors of the smart energy system. In this paper, new approach to connect the market-driven (bottom-up) DR program with current demand-driven (top-down) energy management system (EMS) is presented. Authors consider multi-agent system (MAS) to realize the approach and introduce a concept and standardize the design of new Energy Flexometer. It is proposed as a fundamental agent in the method. Three different functional blocks have been designed and presented as an IoT platform logical interface according to the LonWorks technology. An evaluation study has been performed as well. Results presented in the paper prove the proposed concept and design.

scholarly journals An Enhanced K-Means Clustering Algorithm for Pattern Discovery in Big Data Analysis of 3-Phase Electrical Quantities

2018 ◽  
Vol 7 (4.44) ◽  
pp. 8
Author(s):  
Dikpride Despa ◽  
Gigih Forda Nama
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Internet Of Things ◽  
Power Distribution ◽  
Distribution System ◽  
Clustering Algorithm ◽  
Measurement Data ◽  
Power Distribution System ◽  
Multiple Sensors ◽  
Industry Standard

The Unila Internet of Things Research Group (UIRG) was developed online monitoring of power distribution system based on Internet of Things (IoT) technology on Department of Electrical Engineering University of Lampung (Unila), has been running for several months, this system monitored electrical quantities of 3-phase main distribution panel of H-building. The measurement system involve multiple sensors such current sensors and voltage sensors, the measurement data stored in to database server and shown the information in a real-time through a web-based application.Main objective of this research was to capture, analyze, and identified the knowledge pattern of electrical quantities data measurements, using Cross-Industry Standard Process for Data Mining (CRISP-DM) data mining framework, for helping the stake holders to continuous improvement of the quality of electricity services, the initial research limited to total 770847 electrical quantities recorded data that save on database system, since 1 September - 31 October 2018, the dataset consist of 21 attribute electrical quantities such as; voltage, current, power factor values, energy consumption, frequency, on H building 3-Phase main panel control.Rapidminer as leading application on knowledge discovery application was used to analyze the big data, K-Mean cluster algorithm implemented to identify the data pattern, the result indicated that 3-Phase load was unbalanced, and Phase-0 was the most utilized phase, based on from total 5 cluster analysis result. 

scholarly journals Price Efficiency, Green Transition and Channels for Regulating Natural Monopolies: The Case of Power Distribution System Operators (DSOs)

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Frede Hvelplund ◽  
Finn Arler ◽  
Henrik Lund
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Governance System ◽  
Public Authorities ◽  
Power Distribution System ◽  
Strong Focus ◽  
Smart Energy Systems

The subject of this chapter is the governance system of the distribution system operators (DSOs), i.e. the companies that own, operate and develop regional and local electricity networks. These companies are natural monopolies, and subsequently need strong regulation by public authorities and/or by consumers. The role of the DSOs has been changing fundamentally in recent years, together with the rest of the electricity system, due to the transition from stored fossil fuel-based electricity to electricity based on fluctuating renewable energy sources. The paper analyses the changing circumstances for the DSOs in the development of integrated smart energy systems, based on an innovative theoretical framework with a strong focus on ownership in the understanding of governance of natural monopolies. After a comparative analysis of shareholder versus consumer ownership, based on two cases, the paper sets up several conclusive recommendations about ownership, governance and the new role of the DSOs in the developing smart energy system.

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