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Robust planning methodology for integration of stochastic generators in distribution grids

Robust planning methodology for integration of stochastic generators in distribution grids

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The number of distributed generation (DG) units being connected at the low- and medium-voltage level is evermore increasing. Because of the mostly non-dispatchable generation profile of small-scale renewable power sources, grid performance can be ameliorated as well as deteriorated. A traditional mathematical optimisation of techno-economic objectives is elaborated upon. A conservative approach can, however, easily underestimate performance deviations due to the stochastic output of DG. A robust planning methodology is formulated, based on accuracy improving Monte Carlo simulations nested in an evolutionary algorithm. Multiple objectives are pursued to assess proper trade-offs regarding the technical and economical aspects.

Inspec keywords: Monte Carlo methods; distributed power generation; evolutionary computation; power distribution economics; power distribution planning

Other keywords: distribution grids; Monte Carlo simulation; distributed generation units; techno-economic; nondispatchable generation profile; small-scale renewable power sources; stochastic generators; robust planning methodology; evolutionary algorithm

Subjects: Monte Carlo methods; Power system management, operation and economics; Distribution networks; Power system planning and layout

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