The requirements of distribution power systems have changed and increased over the years. Especially the growing percentage on the production of electric energy of decentralized power feed-in has an impact on the load flow. Even today the classic top-down load flow is inverted to bottom-up in cases of light load scenarios in combination with high feed-in of wind power. High penetration of new types of loads, like heat pumps or electric vehicles, has apart from the high power consumption an influence on the simultaneity level of the demanded load. The regenerative power feed-in is requested by the government and supported by political sponsorship. In contrast to this development the legal conditions demand a more and more efficient structure and operation of the power systems. The interdependences of the network participants at the network nodes are very complex and require a new way of network planning and design to map them adequately. Today's planning process depends on certain assumptions and variational calculus to determine the impact of the loads and regenerative power feed-in on the distribution power system. It is based on scenarios with high loading or high feed-in to estimate the necessary network upgrades. This way of planning lacks in consideration of the interdependences, e.g. the behaviour of combined heating and power station against varying feed-in tariffs due to the volatile behaviour of the prices at the power exchanges. A multi-agent based approach allows a more specific planning process by using the possibility of more detailed descriptions of the individual network participants. Each type of participant is modelled by a specific agent, which reacts on the important input parameters and generates individual output parameters that will be used by other agents. The individual agents are linked with probabilistic dependencies. All agents combined to one system generate profiles of load and generation with all their interdependencies and find a solution that is based on probabilities. Due to this more accurate way of planning, e.g. with regard to new approaches of storage possibilities with e-mobility and heat pumps, more volatile renewable energies can be integrated in the power system planning process.


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    Titel :

    Agent-based modelling of regenerative energy sources for an efficient distribution power system design


    Beteiligte:
    Kays, J. (Autor:in) / Seack, A. (Autor:in) / Rehtanz, C. (Autor:in)


    Erscheinungsdatum :

    2011


    Format / Umfang :

    9 Seiten, 5 Bilder, 1 Tabelle, 3 Quellen



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Datenträger


    Sprache :

    Englisch




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