Sebastian Lehnhoff

ORCID: 0000-0003-2340-6807
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Smart Grid Security and Resilience
  • Smart Grid Energy Management
  • Optimal Power Flow Distribution
  • Simulation Techniques and Applications
  • Power System Optimization and Stability
  • Real-time simulation and control systems
  • Electric Power System Optimization
  • Microgrid Control and Optimization
  • Physics and Engineering Research Articles
  • Distributed and Parallel Computing Systems
  • Energy Load and Power Forecasting
  • Flexible and Reconfigurable Manufacturing Systems
  • Integrated Energy Systems Optimization
  • Modeling and Simulation Systems
  • Power System Reliability and Maintenance
  • Auction Theory and Applications
  • Green IT and Sustainability
  • Metaheuristic Optimization Algorithms Research
  • Power Systems and Technologies
  • Software-Defined Networks and 5G
  • Network Security and Intrusion Detection
  • Infrastructure Resilience and Vulnerability Analysis
  • Electric Vehicles and Infrastructure
  • Digital Transformation in Industry
  • Evolutionary Algorithms and Applications

Oldenburger Institut für Informatik
2016-2025

Carl von Ossietzky Universität Oldenburg
2015-2024

Clausthal University of Technology
2014-2023

Karlsruhe Institute of Technology
2023

Delft University of Technology
2022

Google (United States)
2019-2020

Japan Science and Technology Agency
2019-2020

Microsoft (United States)
2019-2020

Walter de Gruyter (Germany)
2020

TU Dortmund University
2006-2011

Abstract. The European Academy of Wind Energy (eawe), representing universities and institutes with a significant wind energy programme in 14 countries, has discussed the long-term research challenges energy. In contrast to agendas addressing short- medium-term activities, this eawe document takes longer-term perspective, scientific knowledge base that is required develop beyond applications today tomorrow. other words, agenda driven by problems curiosity, basic fundamental 11 areas, ranging...

10.5194/wes-1-1-2016 article EN cc-by Wind energy science 2016-02-09

Transforming the existing power generation to renewable, distributed implicates an increase in complexity for control of overall system. We propose a method launch products self-organized coalitions small active units grid at markets trading as well ancillary services. Our concept combines integration restrictions into proactive scheduling with provision services, and additionally provides reactive power, e.g. case service activation.

10.1109/compeng.2012.6242953 article EN 2012-06-01

The complex nature of cyber-physical energy systems (CPES) makes systematic testing new technologies for these setups challenging. Co-simulation has been identified as an efficient and flexible test approach that allows consideration interdisciplinary dynamic interactions. However, basic coupling simulation models alone fails to account many the challenges simulation-based multi-domain such expert collaboration in planning. This paper illustrates extended CPES environment based on...

10.3390/app9050923 article EN cc-by Applied Sciences 2019-03-05

On European level the EU Mandate M/490 including final reports of respective working groups are gaining momentum in community. Two mandate's core results deal with architecture description and use case management. As a response to mandate, among other deliverables, Smart Grid Architecture Model (SGAM) has been developed provide framework for architectures. Additionally, templates as well comprehensive methodology management have specified. The focus this contribution is demonstrate how SGAM,...

10.1109/isgteurope.2013.6695266 article EN 2013-10-01

Simulations become more and crucial in the field of future energy systems. This is caused by increasing complexity systems that consist a variety subsystems such as supply infrastructures, production, consumption, markets, communication, meteorology etc. Co-simulation tools provide possibility to combine models these run them coordinated simulation. However, simulations complex, making it improbable user simulation same person develops system. To facilitate communication between users...

10.1109/sedst.2015.7315262 article EN 2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST) 2015-09-01

Smart Grids rely on the use of ICT for managing large numbers active components and sensors to keep demand generation electricity at equilibrium while operating multiple resources within their operational limits. Due distributed nature these resources, heterogeneity as well sheer number, is a challenging task. Control strategies novel paradigms need be developed thoroughly evaluated through extensive simulations. In order yield scientifically sound reliable results, simulations have valid...

10.1109/isgteurope.2013.6695486 article EN 2013-10-01

Renewable energy sources are key enablers to decrease greenhouse gas emissions and cope with the anthropogenic global warming. Their intermittent behaviour limited storage capabilities present challenges power system operators in maintaining high level of quality reliability. However, increased availability advanced automation communication technologies has provided new intelligent solutions face these challenges. Previous work presented various methods operate highly interconnected grids...

10.1007/s00502-016-0453-3 article EN cc-by e+i Elektrotechnik und Informationstechnik 2016-12-02

10.5220/0013094900003890 article EN Proceedings of the 14th International Conference on Agents and Artificial Intelligence 2025-01-01

The gradual deployment of intelligent and coordinated devices in the electrical power system needs careful investigation interactions between various domains involved. Especially due to coupling ICT systems a holistic approach for testing validating is required. Taking existing (quasi-) standardised smart grid test specification methods as starting point, we are developing validation that allows very flexible way assessing level aspects by types experiments (including virtual, real, mixed...

10.1109/mscpes.2017.8064528 preprint EN 2017-04-01

Although, a variety of established tools for analysis power systems already exists, it is in the medium term very unlikely that one these alone will provide all functionalities and models are required to simulate future Smart Grids its facets. This mainly due high number Grid use cases, actors, technologies be integrated not known from other industries so far. Accordingly, mixture various different required. These, again, have composed cases specific complex system-wide scenarios. Therefore,...

10.1109/smartgridcomm.2014.7007645 article EN 2014-11-01

A steadily growing pervasion of the energy distribution grid with communication technology is widely seen as an enabler for new computational coordination techniques renewable, distributed generation well bundling controllable consumers. Smart markets will foster a decentralized management. One important task prerequisite to management ability group together in order jointly gain enough suitable flexibility and capacity assume responsibility specific control grid. In self-organized smart...

10.14201/adcaij2017632944 article EN cc-by-nc-nd ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL 2017-09-06

Co-simulation is commonly used for the analysis of complex cyber-physical energy systems (CPES). Different domain-specific simulation tools and modeling approaches are to simulate all or parts system. The co-simulation framework mosaik a powerful tool couple these models. This paper identifies limitations 2 simulating that combine continuous discrete behavior, introduces new version 3.0 with improved event capabilities efficiently time-stepped simulation. Here it explained how extensions...

10.1109/osmses54027.2022.9769116 preprint EN 2022-04-04

The increasing integration of renewable energy resources requires so-called smart grid services for monitoring, control and automation tasks. Simulation environments are vital evaluating developing innovative solutions algorithms. Especially in systems, we face a variety heterogeneous simulators representing, e.g., power grids, analysis or components markets. co-simulation framework mosaik can be used to orchestrate the data exchange time synchronization between individual simulators. So...

10.1145/3607120.3607123 article EN ACM SIGEnergy Energy Informatics Review 2023-03-01

Establishing clean or renewable energy sources involves the problem of adequate management for networked power sources, in particular since producers are at same time also consumers, and vice versa. We describe first phases joint R&D project DEZENT between School Computer Science College Electrical Engineering University Dortmund, devoted to decentralized adaptive electric through a distributed real-time multi-agent architecture. Unpredictable consumer requests producer problems, under...

10.1109/ecrts.2006.22 article EN 2006-08-03

The ongoing substitution of conventional power plants by renewable energy resources (RES) in Europe leads to new challenges for the operation future systems. Grid auxiliary services like frequency control which are traditionally provided a few dedicated large may be realized smaller generation units or loads. This paper discusses applicability small loads and participate system stabilization, introducing novel distributed coordination algorithm, that uses concept direct enable provide...

10.1109/isgteurope.2012.6465756 article EN 2012-10-01

Automation technologies are a key enabler to realize the vision of so called Smart Grids. They interface between power system infrastructure that is used reliably deliver electric and information- communication utilized exchange digital information. Thus, analyzing if how existing automation can be adopted for energy domain importance. Furthermore, Grids will highly heterogeneous systems having address various interoperability issues thus have deal with standardization. Therefore, this paper...

10.1109/iwies.2013.6698587 article EN 2013-11-01

Power flow simulators are indispensible when simulating and assessing future energy system scenarios potentially comprising vast numbers of actors, devices, markets, environmental phenomena etc. While open source power an appealing choice – as they come free charge commercially available simulation optimization suites have the clear benefit being well established trusted by industry. Open implementations often lack validation against these "trusted" outputs. In this paper we will demonstrate...

10.1109/mscpes.2015.7115410 article EN 2015-04-01

Power system operation is gaining complexity due to the changes imposed by energy transition. Especially, increased share of intermittent and decentralized renewable generation units in mix, an uncertainty regarding supply energy, predominantly market-driven cross-region cross-border transport electricity impose new challenges on power systems Europe. In particular, operators must facilitate higher utilization grid capacity coordinate more with neighboring transmission (TSOs) distribution...

10.1109/mpe.2023.3330120 article EN IEEE Power and Energy Magazine 2024-01-01

Whenever multiple stakeholders try to optimize a common objective function in distributed way, an adroit coordination mechanism is necessary. This contribution presents formal model of combinatorial optimization problems. Subsequently, heuristic introduced, that uses self-organizing mechanisms global as well individual local objectives fully decentralized manner. heuristic, COHDA2, implemented asynchronous multi-agent system, and being extensively evaluated by means real-world problem from...

10.5220/0004227000250034 article EN cc-by-nc-nd Proceedings of the 14th International Conference on Agents and Artificial Intelligence 2013-01-01
Coming Soon ...