发明名称 METHOD FOR OPERATING A SUPPLY NETWORK AND SUPPLY NETWORK
摘要 A method for operating a supply network with network units that provide or consume a resource. Cost functions of the network units are mapped onto local potentials of an undirected graph model. Marginalisation methods or optimisation methods such as belief propagation for stochastic interference minimise an overall cost function for controlling the network units. An accordingly operated supply network with network units is also described. The described method makes it possible, for example, to easily determine a usage plan for power plants as network units in an energy supply network. Condition estimates for networks are also made possible.
申请公布号 US2015185749(A1) 申请公布日期 2015.07.02
申请号 US201314409598 申请日期 2013.06.18
申请人 SIEMENS AKTIENGESELLSCHAFT 发明人 Steinke Florian
分类号 G05F1/66;H02J4/00 主分类号 G05F1/66
代理机构 代理人
主权项 1. A method for operating a supply network for a resource comprising a plurality of network units, which generate or consume the resource, wherein the plurality of network units are coupled to one another for an exchange of the resource, said method comprising: detecting a resource input or a resource consumption of each network unit of the plurality of network units and a resource flow parameter (δi) for each network unit of the plurality of network units; assigning a cost function (ci) to each network unit of the plurality of network units, wherein the cost function (ci) is dependent on the resource input or resource consumption of the network unit, and the resource input or resource consumption is dependent on the resource flow parameters (δi) of the network unit and the further network units coupled directly to the network unit; determining a total cost function (c) of the supply network as a sum of all of the cost functions of the plurality of network units of the supply network; minimizing the total cost function (c) via the resource flow parameters (δi), wherein the cost functions (ci) are mapped onto local potentials (ψi) of a non-directional graphical model; and controlling the plurality of network units depending on the resource flow parameters (δi).
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