Auflistung nach Autor:in "Wedde, Horst F."
1 - 3 von 3
Treffer pro Seite
Sortieroptionen
- KonferenzbeitragA Technical and Distributed Management Basis for an Environmentally Clean and Sustainable Energy Supply(Environmental Informatics and Systems Research, 2007) Wedde, Horst F.; Lehnhoff, Sebastian; Handschin, Edmund; Krause, OlanRising market prices for energy, an apparent future shortage in fossil fuels, and alarming reports on pollution through CO2 are causing a world-wide trend towards renewable and ecologically clean forms of energy. We report about ongoing work in the R&D project DEZENT establishing renewable electric energy supply and eventually replacing fossil energy sources. Producers are at the same time also consumers. Their production and consumption are largely unpredictable. With our combined expertise in Real-Time systems and Electric Power Distribution we developed price negotiations which are pursued by consumer/ producer agents on a P2P basis and are governed by tough end-to-end deadlines (< 0.5 sec) dictated by EE constraints. The strategies used for periods of 0.5 sec are designed for fast convergence while we may at the same time assume a constant demand/ supply situation. Malicious users will not succeed, and customers pay considerable less than under conventional management policies or structures. In this paper we allow the negotiation strategies themselves to be adaptive across periods thus achieving a most flexible bargaining for each individual customer involved. For this purpose we have defined distributed learning algorithms derived from Reinforcement Learning. While maintaining all benefits from the earlier stage of development we demonstrate that we obtain a much better performance across periods than the initial static algorithms. To our knowledge we have presented and investigated the first distributed learning algorithm in the area of Adaptive Real-time Systems. Since the electric distribution management can be equally finalized within each period we have laid the ground for a thorough provision with sustainable and clean electric energy.
- ZeitschriftenartikelDezentrale vernetzte Energiebewirtschaftung (DEZENT) im Netz der Zukunft(Wirtschaftsinformatik: Vol. 49, No. 5, 2007) Wedde, Horst F.; Lehnhoff, Sebastian; Handschin, Edmund; Krause, OlavKernpunkteZiel des Projekts DEZENTist die Entwicklung eines verteilten Energiemanagementsystems, mit dem sich eine Vielzahl dezentraler Energieumwandlungsanlagen (erneuerbarer Energien) zu einem großen regionalen Netz zusammenschließen lassen.Technische, wirtschaftliche und ökologische Randbedingungen werden berücksichtigt.Die Netzleistung steht sowohl der allgemeinen Versorgung wie auch der Reserveregelung zur Verfügung.Das Management des Netzes wird durch ein verteiltes adaptives sicherheitskritisches Realzeit-Multiagentensystem realisiert.Die dezentrale Führung einer Vielzahl kooperierender, heterogener Systeme kann hinsichtlich Preis bzw. bereitgestellter Energie günstiger sein als bei zentral gesteuerter Versorgung.AbstractGiven the sharply rising costs for traditional energy (based on coal, fossil oil or gas etc.) over the past few years renewable energy sources such as wind, sun, water, or seed oil have favorably come into the picture as economically desirable and ecologically clean alternatives. The corresponding power facilities (e.g. wind power stations, solar panels, block heat & power plants) are widely distributed and are quite heterogeneous regarding their productivity (capacity and reliability) yet at the same time transport paths and costs are at a minimal level. (In the near future it will be possible to cover all needs from such sources.) For guaranteeing both the adaptive integration of the diverse facilities and a balanced level of supply under (locally) highly unpredictable energy production we present a bottom-up power grid management architecture. A key novelty of our approach is a completely decentralized management for negotiating the available power supply and needs. This is realized through a safety-critical, real-time multi-agent system where bids and offers are negotiated on the (electrically) shortest time basis of 0.5 sec. While the system is secure against malicious attacks it exhibits a high amount of fault tolerance where the latter corresponds well to the exceptional production safety of the widely distributed facilities. Beyond the high supply reliability under the decentralized management of distributed facilities we demonstrate that both operation costs and consumer prices could be assumed lower than under a centralized management and architecture.
- ZeitschriftenartikelEinbindung von intelligenten Entscheidungsverfahren in die dynamische Simulation von elektrischen Energiesystemen(Informatik-Spektrum: Vol. 36, No. 1, 2013) Müller, Sven C.; Häger, Ulf; Georg, Hanno; Lehnhoff, Sebastian; Rehtanz, Christian; Wietfeld, Christian; Wedde, Horst F.; Zimmermann, ThomasDie Betriebsführung elektrischer Transport- und Verteilnetze wird zunehmend dynamischer. Gründe hierfür sind einerseits die Herausforderungen durch hoch ausgelastete Netze sowie volatile Einspeisung, auf die die Netzbetreiber rechtzeitig reagieren müssen, andererseits der zunehmende Einsatz schnell regelbarer Betriebsmittel und leistungsstarker Kommunikations- und Informationstechnik. Um intelligente Entscheidungsverfahren für dynamische Systemeingriffe zu entwickeln, müssen solche Applikationen zunächst in eine dynamische Simulation des elektrischen Energiesystems eingebunden werden. In diesem Beitrag werden zwei Realisierungsmöglichkeiten zur Einbindung externer Softwaretools in die elektromechanische Simulation des verbreiteten kommerziellen Energiesystemsimulators DIgSILENT PowerFactory vorgestellt. Hierbei wird exemplarisch die Einbindung eines Multiagentensystems zur Koordination von Leistungsflussreglern gezeigt. Neben der Implementierung werden vergleichende Simulationsergebnisse bei Nutzung der beiden Schnittstellen und ermittelte Leistungswerte präsentiert.