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http://dx.doi.org/10.5370/JEET.2018.13.4.1494

Probabilistic Load Flow for Power Systems with Wind Power Considering the Multi-time Scale Dispatching Strategy  

Qin, Chao (Key Laboratory of Smart Grid of Ministry of Education, Tianjin University)
Yu, Yixin (Key Laboratory of Smart Grid of Ministry of Education, Tianjin University)
Zeng, Yuan (Key Laboratory of Smart Grid of Ministry of Education, Tianjin University)
Publication Information
Journal of Electrical Engineering and Technology / v.13, no.4, 2018 , pp. 1494-1503 More about this Journal
Abstract
This paper proposes a novel probabilistic load flow model for power systems integrated with large-scale wind power, which considers the multi-time scale dispatching features. The ramp limitations of the units and the steady-state security constraints of the network have been comprehensively considered for the entire duration of the study period; thus, the coupling of the system operation states at different time sections has been taken into account. For each time section, the automatic generation control (AGC) strategy is considered, and all variations associated with the wind power and loads are compensated by all AGC units. Cumulants and the Gram-Charlier expansion are used to solve the proposed model. The effectiveness of the proposed method is validated using the modified IEEE RTS 24-bus system and the modified IEEE 118-bus system.
Keywords
Wind power; Probabilistic load flow; AGC; Multi-time; Cumulants; Gram-Charlier expansion;
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