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Ziel und Tempo der Energiewende sind gesetzt. Der Ausstieg aus der Stromproduktion in Kernkraftwerken soll bis 2022 geschafft sein. Eine Elektrizitätserzeugung, die auf erneuerbaren Energien beruht, soll die bisherige Erzeugung auf der Grundlage von Kohle, Kernbrennstoffen und Erdgas bis 2050 stufenweise weitgehend ablösen und damit maßgeblich zu den Klimaschutzzielen der Bundesregierung beitragen. Der Weg zu diesen Zielen ist für die Beteiligten hingegen noch nicht deutlich einsehbar. Viele offene Fragestellungen technischer, ökonomischer, legislativer und gesellschaftlicher Natur verstellen den Blick auf eine klare Strategie zur Erreichung der energiepolitischen Ziele. Vielschichtige Aufgaben und immense Herausforderungen kommen mit der Mammutaufgabe „Energiewende“ auf Politik, Wirtschaft, Wissenschaft und Bevölkerung zu. Ein wichtiger Enabler für die erfolgreiche Integration von Wind- und Sonnenenergie sowie für neue Prozesse, Marktrollen und Technologien ist die Informations- und Kommunikationstechnologie (IKT). An diesem Punkt setzt die hier vorliegende Studie an.
Optimal microgrid scheduling with peak load reduction involving an electrolyzer and flexible loads
(2016)
This work consists of a multi-objective mixed-integer linear programming model for defining optimized schedules of components in a grid-connected microgrid. The microgrid includes a hydrogen energy system consisting of an alkaline electrolyzer, hydrogen cylinder bundles and a fuel cell for energy storage. Local generation is provided from photovoltaic panels, and the load is given by a fixed load profile combined with a flexible electrical load, which is a battery electric vehicle. The electrolyzer has ramp-up constraints which are modeled explicitly. The objective function includes, besides operational costs and an environmental indicator, a representation of peak power costs, thus leading to an overall peak load reduction under optimized operation. The model is used both for controlling a microgrid in a field trial set-up deployed in South-West Germany and for simulating the microgrid operation for defined period, thus allowing for economic system evaluation. Results from defined sample runs show that the energy storage is primarily used for trimming the peak of electricity drawn from the public grid and is not solely operated with excess power. The flexible demand operation also helps keeping the peak at its possible minimum.
Innovative technologies and concepts will emerge as we move towards a more dynamic, service-based, market-driven infrastructure, where energy efficiency and savings can be facilitated by interactive distribution networks. A new generation of fully interactive Information and Communication Technologies (ICT) infrastructure has to be developed to support the optimal exploitation of the changing, complex business processes and to enable the efficient functioning of the deregulated energy market for the benefit of citizens and businesses. The architecture of such distributed system landscapes must be designed and validated, standards need to be created and widely supported, and comprehensive, reliable IT applications will need to be implemented. The collaboration between a smart house and a smart grid is a promising approach which, with the help of ICT can fully unleash the capabilities of the smart electricity network.