Abstract

In contemporary heavy-load distribution networks, preceding feasibility assessment is imperative before incorporating additional energy units. However, the feasibility examination for massive combined operational scenarios of relevant units is computationally intensive with repetitive power flow calculations. To this end, this paper proposes a rapid assessment framework, the kernel of which is to learn from formerly examined scenarios, thus forming expansive feasible/infeasible regions to geometrically rule in/out subsequent scenarios. Without running the power flow computation in most scenarios, we accelerate the assessment process. Moreover, enlightened by heuristic hypersurface search, such prechecking efficiency can be further boosted. In a risk-averse manner, this framework can be conceptualized using the exact grid model. Especially, evidenced by testing on a 10.5kV distribution grid, the framework shows a significant assessment efficiency improvement and strict accuracy guarantee, where we observe at least 76.13% assessment time reduction and zero accuracy loss in all testing cases. We anticipate this work to be a starting point for more sophisticated geometry-accelerating feasibility assessment methods.