Connection Capability of Distributed Generation Units in a Power System under Active Network Management

In a power system featuring a large share of distributed generations (DGs), the variability of power supply results in various issues in the implementation of more DG units incorporation to the existing distribution networks, particularly, congestion risk. Active Network Management (ANM) could provide (almost) real-time control, by possibly curtailing their production in case of grid congestion so as to allow more DG units integration, while deferring costly and time-consuming network upgrades. This paper provides a methodology for the fast assessment of the connection capability of DG units to a grid in ANM scheme, based on efficient Monte Carlo sampling. Besides, resorting to correlated sampling, it is possible to simultaneously estimate the congestion risk with and without connecting a new DG unit of variable capacity. This significantly reduces the computation burden in assessing the connection capability of a grid. The effectiveness of the proposed method is demonstrated on a test power grid.

Keywords: Active network management, Distributed generation, Curtailment, Efficient Monte Carlo sampling, Congestion risk, Correlated sampling.

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