In this paper, we propose a distributed control strategy for the design of an energy market. The method relies on a hierarchical structure of aggregators for the coordination of prosumers (agents which can produce and consume energy). The hierarchy reflects the voltage level separations of the electrical grid and allows aggregating prosumers in pools, while taking into account the grid operational constraints. To reach optimal coordination, the prosumers communicate their forecasted power profile to the upper level of the hierarchy. Each time the information crosses upwards a level of the hierarchy, it is first aggregated, both to strongly reduce the data flow and to preserve the privacy. In the first part of the paper, the decomposition algorithm, which is based on the alternating direction method of multipliers (ADMM), is presented. In the second part, we explore how the proposed algorithm scales with increasing number of prosumers and hierarchical levels, through extensive simulations based on randomly generated scenarios.
The article is available on https://arxiv.org/abs/1803.03560
We propose a method to design a decentralized energy market which guarantees individual rationality (IR) in expectation, in the presence of system-level grid constraints. We formulate the market as a welfare maximization problem subject to IR constraints, and we make use of Lagrangian duality to model the problem as a n-person non-cooperative game with a unique generalized Nash equilibrium (GNE). We provide a distributed algorithm which converges to the GNE. The convergence and properties of the algorithm are investigated by means of numerical simulations.
The article is available on https://arxiv.org/abs/1806.01072.
Our NEMoGrid project work comprises the participation in the ERA-Net Working Groups. For example we are contributing to the working group "Consumer and Citizen Involvement". Therefore we wrote a summary of our WP 2 interview results and deduce some implications for smart grid application design. Our contribution is added to the "living documents" of the working group. Furthermore, we publish it here as a white paper.
To ensure the smooth and near optimal operation of storage and controllable generation in a grid with a high share of renewable energies, it is important to have accurate forecasts for load and generation. But even with the advanced forecasts available today, the prediction error can have a significant impact on the operation performance of the system. This paper compares and analyzes the impact of the prediction-error on the operational performance in case of a small virtual power plant.
The paper is published in the conference proceedings of the 7th International Conference on Renewable Energy Research and Applications.
You can find the full paper here.
You can download the NEMoGrid deliverable D1.1 here.
You can download the NEMoGrid deliverable D1.2 here.
The deliverable D2.1 describes different future market models and the NEMoGrid approach. For download click here.
This deliverable summarizes the results of the interview study conducted by TUC within work package 2.
You can download the NEMoGrid deliverable 2.3 here.
June 2018: Find a blog post on the hive power platform here.
Wildpoldsried, 14 March 2018 - sonnen is continuing to promote the use of blockchain technology in the energy sector and as part of its efforts is participating in the EU NEMoGrid project. Various companies and research institutes from Germany, Switzerland and Sweden are taking part.
Read the whole article here.
Mit der Teilnahme an dem EU-Projekt NEMoGrid möchte Sonnen den Einsatz der Blockchain-Technologie im Energiesektor weiter vorantreiben. Daran nehmen verschiedene Unternehmen und Forschungseinrichtungen aus Deutschland, der Schweiz und Schweden teil.
Hier gehts zum vollständigen Artikel.
Nu ska blockchainteknik för försäljning av el mellan hushåll testas i Uppsala som en del i ett nytt EU-projekt. I praktiken innebär det att det kommer bli lättare för privata hushåll att sälja egenproducerad el till varandra.
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