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Optimized Operation of Cascade Reservoirs Considering Complementary Characteristics Between Wind and Photovoltaic Based on Variational Auto-Encoder

Author(s): Hongxuan Zhanga; Wei Hua; Rui Yub; Maolin Tangb; Lijie Dingc

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Abstract: The strong variations and uncertainties of high-penetration variable renewable energy sources (RESs) has greatly challenged the operation of power systems. Considering the rapid adjustability of hydropower to complement various RESs, in this paper, a coordinated optimization model is proposed for hydro-wind-solar integrated systems. Based on the variational auto-encoder, a scenarios generation method is proposed to capture the spatial-temporal complementary and fluctuant characteristics of wind and PV power with high model accuracy and low computational complexity. The detailed hydraulic and electrical relationship between cascade reservoirs are established to make full use of the controllable regulation capacity of cascade hydropower stations. With the linearization of the head-sensitive power generation and nonlinear water head, the optimization model is reformulated into a tractable mixed integer linear programming (MILP) formulation. A basin in Northwest China integrated with prolific wind and solar resources is selected for a case study. The computational experiments on actual data demonstrate the applicability of the proposed method.

DOI: https://doi.org/10.1051/matecconf/201824601077

Year: 2018

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