Flexibility Requirement when Tracking Renewable Power Fluctuation with Peer-to-Peer Energy Sharing
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AbstractFlexible load at the demand-side has been regarded as an effective measure to cope with volatile distributed renewable generations. To unlock the demand-side flexibility, this paper proposes a peer-to-peer energy sharing mechanism that facilitates energy exchange among users while preserving privacy. We prove the existence and partial uniqueness of the energy sharing market equilibrium and provide a centralized optimization to compute the equilibrium. The centralized optimization is further linearized by a convex combination approach, turning into a multi-parametric linear program (MP-LP) with renewable power output deviations being the parameters. The flexibility requirement of individual users is calculated based on this MP-LP. To be specific, an adaptive vertex generation algorithm is proposed to construct a piecewise linear estimator of the optimal total cost subject to a given error tolerance. Critical regions and optimal strategies are retrieved from the obtained approximate cost function to evaluate the flexibility requirement. The proposed algorithm does not rely on exact characterization of optimal basis invariant sets and thus is not influenced by model degeneracy, a common difficulty faced by existing approaches. Case studies validate the theoretical results and show that the proposed method is scalable.
All Author(s) ListYue Chen, Wei Wei, Mingxuan Li, Laijun Chen, João P. S. Catalão
Journal nameIEEE Transactions on Smart Grid
Year2022
Month3
Volume Number13
Issue Number2
Pages1113 - 1125
ISSN1949-3053
eISSN1949-3061
LanguagesEnglish-United States
