To address the problem that uncertainty in distributed energy resource (DER) responses undermines their reliability and thus prevents them from fully realizing their flexibility potential, this paper proposes a reliability‐based control method for DER clusters that explicitly accounts for response uncertainty. First, the statistical moments of each DER’s response deviation are derived from historical response data. Based on the central limit theorem, a reliability quantification index for the cluster’s response is constructed. Under the premise of controllable costs, this index is then used as the optimization objective to establish a model. The initiall non-convex model, which relies on precise probability distributions, is equivalently transformed into a quadratic programming model that does not depend on exact probability distributions. Finally, the effectiveness of the proposed method is validated through case studies, demonstrating its suitability for large-scale DER control scenarios.
Key words
demand response /
distributed energy resources /
power system /
response uncertainty /
reliable control
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