Abstract:
The invention relates to a data processing device, a method and a computer programme for computer-aided substation tendering. Conventional substation tenders rely on by-hand selection of components representing not-preengineered, not-reusable substation parts. Such tenders are inaccurate and time-consuming. In this disclosure a module (2) represents a reusable preengineered substation part and is indexed according to an intuitive multiple-index categorisation system (12), has a standardized name (14) for designating all its related files and for encoding its function in an intuitively understandable, and has a module-descriptor (3) providing standardised information (4-10) to application routines for cost calculation (1a), technical data accumulation (1d), graphics accumulation (1b) and tender text accumulation (1c). Two module types (2a, 2b) are provided: Core modules (2a) are structured in sub-modules (10) and articles (9) and allow cost calculation (1a) from bottom up; black-box modules (2b) are monolithic, as supplied from a third party, and have a cost attached to them. The modules (2a, 2b) and/or sub-modules (10) may be fixed or parametrisable. A module library (17) and browser (11) assist in storage and retrieval of the modules (2).
Abstract:
A design for a high or medium voltage power transmission network is created automatically. The network comprises a plurality of subsystems that are classifiable as switchgear, transformers, transmission lines, or network controllers such as compensators, where each subsystem comprises a plurality of components, where components exist in different embodiments having different technical and economical characteristics, and where the design comprises, for each subsystem, a selection of components such that the subsystem satisfies given technical and financial criteria. The following steps are performed: a) inputting a set of solution alternatives characterizing the network, b) determining for each solution alternative at least one set of solution constraints for each subsystem, c) automatically determining, for each subsystem and for each of the at least one sets of solution constraints, a cost-optimal subsystem that satisfies the solution constraints, and determining subsystem performance data that characterizes the cost-optimal subsystem, d) combining, for each solution alternative, the performance data of the corresponding cost-optimal subsystems and determining performance data of the solution alternative.