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- W3003378312 abstract "Considering the uncertainty from the forecasting power of renewable energy sources and load, an expectation-based stochastic model is proposed for the optimal energy storage (ES) scheduling in the microgrid (MG). The ES power of every interval is flexibly adjusted according to the charge-discharge price spread to minimize the expected total cost of MG operation. The resultant problem is proved to be nonlinear but convex, which ensures the stability and computability of the global optimal solution. Case results illustrate the convexity of the proposed model and the effectiveness of the scheduling decision. In addition, the impacts of different ES configuration parameters on the optimal expected cost are also investigated." @default.
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- W3003378312 date "2019-08-01" @default.
- W3003378312 modified "2023-09-24" @default.
- W3003378312 title "A Novel Stochastic Model for Optimal Scheduling of Energy Storage in Grid-Connected Microgrid" @default.
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- W3003378312 doi "https://doi.org/10.1109/pesgm40551.2019.8973819" @default.
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