scholarly journals Simulation-Based Valuation of Transactive Energy Systems

2019 ◽  
Vol 34 (5) ◽  
pp. 4138-4147 ◽  
Author(s):  
Qiuhua Huang ◽  
Thomas E. McDermott ◽  
Yingying Tang ◽  
Atefe Makhmalbaf ◽  
Donald J. Hammerstrom ◽  
...  
Keyword(s):  
Energy Systems ◽  
Simulation Based ◽  
Transactive Energy

scholarly journals Performance Evaluation for Transactive Energy Systems Using Double-Auction Market

2019 ◽  
Vol 34 (5) ◽  
pp. 4128-4137 ◽  
Author(s):  
Jianming Lian ◽  
Huiying Ren ◽  
Yannan Sun ◽  
Donald J. Hammerstrom
Keyword(s):  
Performance Evaluation ◽  
Energy Systems ◽  
Double Auction ◽  
Auction Market ◽  
Transactive Energy

Simulation und Optimierung kombiniert/A simulation-based framework for operational optimization of industrial energy systems

2020 ◽  
Vol 110 (01-02) ◽  
pp. 12-17
Author(s):  
Niklas Panten ◽  
Heiko Ranzau ◽  
Thomas Kohne ◽  
Daniel Moog ◽  
Eberhard Abele ◽  
...  
Keyword(s):  
Synthetic Data ◽  
Cost Savings ◽  
Energy Systems ◽  
Decisive Role ◽  
Optimization Methods ◽  
Energy System ◽  
Significant Cost ◽  
Operational Optimization ◽  
Simulation Based ◽  
Industrial Energy

Die optimierte Betriebsweise von industriellen Energiesystemen ist eine Schlüsseltechnologie, um signifikante Kosteneinsparpotenziale durch Steigerung der Energieeffizienz und -flexibilität zu heben. Weil dabei eine Vielzahl dynamischer und stochastischer Einflüsse berücksichtigt werden müssen, spielt die Simulation des Energiesystems eine entscheidende Rolle. Zur Evaluierung unterschiedlicher Betriebsoptimierungsverfahren wird ein simulationsgestütztes Framework vorgestellt, welches bei KI (Künstliche Intelligenz)-Algorithmen unter anderem für das Anlernen mit synthetischen Daten verwendet werden kann.   The optimized operation of industrial energy systems is a key technology to unlock significant cost savings by increasing energy efficiency and flexibility. Since a variety of dynamic and stochastic influences must be considered, the simulation of the energy system plays a decisive role. A simulation-based framework is presented for evaluating various operational optimization methods, which can also be used for learning based on synthetic data with AI (artificial intelligence) algorithms.

scholarly journals Real-Time Simulation-Based Testing of Modern Energy Systems: A Review and Discussion

2020 ◽  
Vol 14 (2) ◽  
pp. 28-39 ◽  
Author(s):  
Andrea Benigni ◽  
Thomas Strasser ◽  
Giovanni De Carne ◽  
Marco Liserre ◽  
Marco Cupelli ◽  
...  
Keyword(s):  
Real Time ◽  
Energy Systems ◽  
Real Time Simulation ◽  
Time Simulation ◽  
Simulation Based

scholarly journals The Role of Blockchains in Multi-Stakeholder Transactive Energy Systems

2020 ◽  
Vol 3 ◽  
Author(s):  
Scott Eisele ◽  
Aron Laszka ◽  
Douglas C. Schmidt ◽  
Abhishek Dubey
Keyword(s):  
Power Systems ◽  
Market Efficiency ◽  
Energy Systems ◽  
Power Grids ◽  
Embedded Devices ◽  
Blockchain Technology ◽  
Energy Domain ◽  
Transactive Energy ◽  
Battery Technology ◽  
Multi Stakeholder

Power grids are undergoing major changes due to rapid growth in renewable energy and improvements in battery technology. Prompted by the increasing complexity of power systems, decentralized solutions are emerging that arrange local communities into transactive microgrids. This paper addresses the problem of implementing transactive energy mechanisms in a distributed setting, providing both privacy and safety. Specifically, we design and implement an automated auction and matching system that ensures safety (e.g., satisfaction of line capacity constraints), preserves privacy, and promotes local trade and market efficiency for transactive energy systems. This design problem is challenging because safety, market efficiency, and privacy are competing objectives. We implement our solution as a decentralized trading platform built on blockchain technology and smart contracts. To demonstrate the viability of our platform, we analyze the results of experiments with dozens of embedded devices and energy production and consumption profiles using an actual dataset from the transactive energy domain.

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