Abstract
This paper proposes a probabilistic optimal power flow (POPF) to evaluate the power system operation with renewable energy generation. Probability density functions (PDFs) are used to stochastically model the wind speed and load. A (2m+1)-point estimation considers the system uncertainties for power flow analysis. The proposed method incorporates energy storage into the POPF model to evaluate its application for wind power integration. The IEEE 24-bus system is used to evaluate the feasibility and practicality of the developed POPF framework. Different scenarios are studied to investigate the economic advantage of wind and storage co-location over the cases where the wind and storage units are installed at different buses.
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