A kind of active distribution network distributed generation resource maximum capacity appraisal procedure of data-driven
Patent
Overview
Overview
abstract
The present invention relates to a kind of active distribution network distributed generation resource maximum capacity appraisal procedures of data-driven, belong to electric system assessment and planning field.This method includesGo out the probability distribution collection of a uncertain amount based on known statistical moment information architectureEstablish the distributed generation resource Capacity Evaluation Model of a data-driven, the object function of total distributed generation resource installed capacity in active distribution network is maximized including structure, and structure meets every technological constraint of power grid and the distribution robust joint chance constraint of description safe operationIt converts above-mentioned constraint to a Bilinear Inequalities by equivalent variations and dualization processingModel after the conversion is solved using sequence convex optimized algorithm, finally obtaining the active distribution network allows the maximum distribution formula power supply capacity and distributed generation resource addressing constant volume scheme of access.Inventive process avoids the probability distribution requirements to uncertainty amount, and take full advantage of statistical moment information, have very strong practicability.
