IEEE Transactions on Smart Grid · 2019 · 95 citations · 19 references
EngineeringDecision SciencesOptimizationRenewable Energy IntegrationRenewable Energy SystemsDistributed Energy ResourcesDistribution Network PlanningPower Distribution ControlPower Grid AnalysisPower SystemsSmart Grid SystemsActive Distribution NetworksDistribution Network ModelingEnergy Distribution NetworksLoad Flow AnalysisOptimization Of Distribution NetworksScenario OptimizationScenario-based OptimizationScenario-based Robust Optimization
DERs in active distribution networks can supply active and reactive power reserves to higher‑level grids at their connection point. The study proposes a method to determine an ADN’s capability area for providing active and reactive power reserves, accounting for load forecast errors, stochastic generation, and grid and DER constraints. The approach uses a linearized load‑flow model and scenario‑based robust optimization to estimate the RPC area, and its performance is evaluated on a modified IEEE 33‑bus test system. Under certain assumptions, the RPC area is proven to be convex.
Distributed energy resources (DERs) installed in active distribution networks (ADNs) can be exploited to provide both active and reactive power reserves to the upper-layer grid (i.e., sub-transmission and transmission systems) at their connection point. This paper introduces a method to determine the capability area of an ADN for the provision of both active and reactive power reserves while considering the forecast errors of loads and stochastic generation, as well as the operational constraints of the grid and DERs. The method leverages a linearized load flow model and introduces a set of linear scenario-based robust optimization problems to estimate the reserve provision capability (RPC) area of the ADN. It is proved that, under certain assumptions, the RPC area is convex. The performance of the proposed method is tested on a modified version of the IEEE 33-bus distribution test system.
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