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Stochastic Flexibility Evaluation for Virtual Power Plant by Aggregating Distributed Energy Resources

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Document pages: 10 pages

Abstract: To manage huge amount of flexible distributed energy resources (DERs) in thedistribution networks, the virtual power plant (VPP) is introduced in industry.The VPP can optimally dispatch these resources in a cluster way and provideflexibility for the power system operation as a whole. Most existing worksformulate the equivalent power flexibility of the aggregating DERs asdeterministic optimization models without considering their uncertainties. Inthis paper, we introduce the stochastic power flexibility range (PFR) todescribe the power flexibility of VPP, which is formulated as a chanceconstrained optimization model. In this model, both operational constraints andthe randomness of DERs output are incorporated, and a combined model anddata-driven solution is proposed to obtain the stochastic PFR and cost functionof VPP. Finally, numerical tests are conducted to verify the correctness andefficiency of the proposed method.

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