Scientific Publications

L. Nespoli, & V. Medici (2018). Constrained hierarchical networked optimization for energy markets

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

L. Nespoli, M. Salani, & V. Medici (2018). A rational decentralized generalized Nash equilibrium seeking for energy markets

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.

 

J. Ridenour & J. Lindborg (2018). Optimal Control in a Smart Grid Aggregator:Connecting PV, EV, Energy Storage, and HeatingSystems to Solve the Power Problem

This paper presents some of the findings of the swedish NEMoGrid project partners NGenic and Sustainable Innovation made in the VäxEl project, primarily focusing on two key aspects:the modeling and design of an optimization algorithm forintegrating the resources within the project for the purposeof reducing CPP, and the reduction in CPP achieved during February of 2018 by connected heating systems within theUpplands Energi electric grid. The results serve as important basis for the NEMoGrid developments.

The full paper is available here. The slides presented at the 2nd E-Mobility Power System Integration Symposium in Stockholm are availble here.

S. Döbelt, & M. Kreusslein (2018). Conflicting User Needs "Degrees of Freedom" and "Ease of Use". White Paper

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.

 

B. Matthiss, A. Momenifarahani, K. Ohnmeiss, & M. Felder (2018). Influence of Demand and Generation Uncertainty onthe Operational Efficiency of Smart Grids

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.

S. Döbelt & M. Kreusslein (2019). Imagine 2025: Prosumer and Consumer Requirements for Distributed Energy Resource Systems Business Models.

The user-centered design and the acceptance of smart grid technologies is one key factor for their success. To identify user requirements, barriers and underlying variables of acceptance for future business models (DSO controlled, Voltage-Tariff, Peer-to-Peer) a partly-standardized interview study with N = 21 pro- and consumers was conducted. The results of quantitative and qualitative data demonstrate that the acceptance of each future energy business model is relatively high. The overall usefulness was rated higher for future business models than the current business model. Prosumers had a more positive attitude towards the Peer-to-Peer model, whereas consumers preferred models in which the effort is low (DSO controlled) or an incentive is offered (Voltage-Tariff). The DSO controlled model is not attractive for prosumers, who criticize the increased dependency and external control. From the results it can be concluded that tariffs should be adapted to the user type.

Published in:  International Conference on Applied Human Factors and Ergonomics (pp. 631-643). Springer, Cham.

 

B. Antonioli Mantegazzini (2019). The “New Deal” for energy actors in decentralized digital markets: towards a peer-to-peer market?

"[...] this paper aims to highlight the main key points of a sustainable business model at the basis of a peer-to-peer electricity market based on the blockchain technology, where function, roles and management schemes are clearly defined and accepted and multiple actors’ goal incorporated.".

Find here an authors version of the conference paper.

M. Kreusslein & S. Döbelt (2019). Imagine 2025: Evaluation von zukünftigen Geschäftsmodellen zur Integration von Erneuerbaren Energien in das Verteilnetz. Invited Talk 4th Expert Symposium - Mobility of the Future.

TUC participated in the 4th Expert Symposium - Mobility of the Future at October the 9th in Deggendorf. Maria Kreußlein gave a talk about NEMoGrid user research and the results of the online survey. The talk and the slides were given in German. You can download the presentation here.

Nespoli, L., Medici, V., Lopatschiki, K., Sossan, F. (2020). Hierarchical Demand Forecasting Benchmark for the Distribution Grid.

This is the according paper to a talk held at the Power Systems Computation conference in July 2020.

The paper is available here. You can also download the slides of the talk here on our website.

Döbelt, S., & Kreusslein, M. (2020). Peer-to-Peer Traded Energy: Prosumer and Consumer Focus Groups about a Self-consumption Community Scenario.

Focus group results are publishid in: C. Stephanidis & M. Antona (eds.) at the 22nd International Conference, HCII 2020, Copenhagen, Denmark, July 19-24, 2020, Proceedings, Part I, 130-140, Springer, Cham. https://doi.org/10.1007/978-3-030-50726-8

Project Deliverables

D1.1 Results of literature research on the the evolution of energy demand and solar energy penetration in Europe in 2030

You can download the NEMoGrid deliverable D1.1 here.

D1.2 Results of literature research on the the evolution of energy markets, tariff schemes and regulatory aspects in Europe in 2030

You can download the NEMoGrid deliverable D1.2 here.

D2.1 Guidelines for the implementation of new business models

The deliverable D2.1 describes different future market models and the NEMoGrid approach. For download click here.

D2.3 Results regarding consumer / prosumer requirements

This deliverable summarizes the results of the interview study conducted by TUC within WP 2.

You can download the NEMoGrid deliverable 2.3 here.

D3.1 Physical Model of the Grid

The D3.1 describes the network simulation and the probablistic power flow for the test sites Luggagia and Uppsala.

Find the deliverable here.

D3.2 Thermal Building Model

The D3.2 summarizes work done on the thermal model of buildings, its auxiliary components and implementation.

For further information you can download the deliverable here.

D3.3 Survey results regarding energy interaction patterns and behavioural preference

Results for this deliverable are included in the broad online survey we conducted in January 2019. You can download summary of the results here.

 

D3.4 Short Term Prediction Model

The D3.4 focuses on the prediction of 24h power and consumtion for the test sites Rolle and Uppsala.

The deliverable is available here.

 

D3.5 Distributed Artificial Intelligence

The D3.5 briefly describes the algorithms for the automated steering of loads and storage.

You can download the deliverable here.

D4.1 Guidelines for user-centered development of approaches enhancing social acceptance and user collaboration

This deliverables summarizes WP 4, which was managed by the staff of TU Chemnitz. It describes an online study conducted in the beginning of 2019 comparing pro- and consumer perspectives of different energy business models. Furthermore, focus group results on factors fostering and enhancing instrinsic particpation motivation are presented.

The deliverable is available here.

D5.1 Central Database for Analysis

The D5.1 describes the various data sources available to the project.

The deliverable is available here.

D5.3 Control logic API for integrating groups of assets in the swedish testbed

The D5.3 describes main components and operators for the swedish test site in Uppsala.

You can download the deliverable here.

D5.4 Implementation API for integration in Swiss testbed

The D5.4 describes hard- and software components implemented in the energy community of Lugaggia in southern Switzerland, managed by the NEMoGrid partner SUPSI.

Find the full deliverable here.

 

D5.5 Summary of Consumer and Prosumer Field Trial Results

Within WP 5 the focus of the NEMoGrid project partner TUC was to investigate user perspectives on the implemented solutions, more precisely a self-consumption community scenario tested in Lugaggia a small community in the south of Switzerland. Therefore, a user-based field trial was conducted and participants’ evaluations gathered via an online questionnaire. The results summarized by D5.5 should be treated as case study reflecting portions of the user's perspective on a self-consumption community. Nevertheless, the results provide qualitative insights, which can support the development of future energy business models.

Download the deliverable here.

D6.1 First year dissemination report

The deliverable D6.1 summarizes the progress made with regard to project dissemination within the first year of NEMoGrid; including the dissemination program, the project webpage, the participation in the ERA-Net knowledge communities and the scientific communication.

You can download the deliverable here.

D6.2 Second year dissemination report

The deliverable D6.2 summarizes the progress made with regard to project dissemination within the second year of NEMoGrid; including the dissemination program, the project webpage, the participation in the ERA-Net knowledge communities and the scientific communication.

You can download the deliverable here.

D6.3 Third year dissemination report

The deliverable D6.3 summarizes the progress made with regard to project dissemination within the third year of NEMoGrid. D6.3 describes progress are made with the project webpage, the participation in the ERA-Net knowledge communities and the scientific communication.

You can download the deliverable here.

Press Releases

Trustless coordination mechanism for smart grid energy markets, a game theoretic approach

June 2018: Find a blog post on the hive power platform here.

Smart local grids with blockchain - sonnen is participating in the NEMoGrid project

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.

Energiehandel per Blockchain

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.

Blockchainteknik testas för smarta lokala elnät

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.

läs hela pressmeddelandet här

The swedish press release of Sustainable Innovation is also featured here and here.