Clustering Technique for Scenario Reduction in Post-Energy Transition Voltage Dips Assessment
The Dutch transmission system operator makes multiple scenarios to predict the future developments. These scenarios will help to define the risk factors and constraints in the grid, for which reinforcement planning is necessary. The developed grid after these reinforcements should continue to fulfil the power quality assessment criteria specified in the Dutch grid code. The reduction in system strength due to partial phase out of the conventional generation may have an adverse impact on the PQ, especially the voltage dips. Precise assessment criteria for voltage dips have been stipulated by the Dutch grid code that also need to be met after the energy transition. Evaluating all possible grid future scenarios can provide insight in possible future operating conditions. In practice, due to various combinations of network configurations, loading scenarios and dispatch scenarios, it is not possible to analyze all operating scenarios in detail. This paper presents a method to determine the most important scenarios for voltage dip assessments using a clustering technique. The proposed clustering technique reduces the number of scenarios that are needed to be assessed that makes the whole process doable in practice.