Mobile energy storage (MES) systems have demonstrated significant potential in enhancing the reliability and efficiency of microgrid (MG) operations with uncertain routing costs and loads. This article presents a scheduling decision-making formulation that couples MES transportation with an MG network, which encompasses MES optimization operation and MG power management. To address the uncertainty in transportation, a nonsymmetric distributionally robust chance-constrained (NS-DRCC) formulation of routing and scheduling for MES in coupled transportation and MG is proposed, and by leveraging Chernoff’s inequality and function fitting techniques, the NS-DRCC model is transformed into a computable mixed integer second-order cones (MISOCP) form to achieve a robust scheduling scheme for the coupled system. The effectiveness of the proposed tractable approximate MG scheduling NS-DRCC model, which accounts for MES operations, was successfully tested on dynamic systems with 5 and 123 buses. These tests validated the efficacy of MES coupling and the NS-DRCC convex approximation in ensuring the safe and economically efficient operation of the MG system.
Distributionally Robust Chance-Constrained Tractable Approximate Formulation of Microgrids With Mobile Energy Storage
IEEE Transactions on Transportation Electrification ; 10 , 3 ; 6571-6582
01.09.2024
5782974 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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