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Integration of large-scale wind power is very challenging for cost-effective and secure operations of power systems. The development of bundled wind–thermal generation and transmission system is viewed as a promising means to cope with the challenges. This paper presents a method to optimize the planning of bundled wind–thermal generation and transmission system. A comprehensive optimization planning model is formulated by taking the unit generation cost as the objective function and using the compensating capacity of thermal generating units and the rated capacity of converter station as the constraints. The proposed model takes into account the fuel cost of thermal generating units, the capital costs and maintenance costs of wind turbine generators, thermal generating units, converter stations, transmission lines, and the losses of the system. The simulated annealing algorithm is used as the solver of the model. Case studies are conducted to demonstrate the effectiveness of this proposed method. [ABSTRACT FROM AUTHOR]

The uncertainty in wind power affects the generation scheduling (unit commitment) of coal-dominated power systems. A reasonable spinning reserve is required to handle this uncertainty. In this study, a method that considers the unique local wind regime into the calculation of spinning reserve requirements and makes the unit commitment more local-adaptive is presented. First, a virtual wind power transfer matrix which displays the probabilities of wind power transferring from one value to another by using the historical wind speed data is formulated. Second, the spinning reserve requirements of the wind-thermal power system are calculated according to the virtual wind power transfer matrix. Finally, the day-ahead unit commitment is conducted based on the spinning reserve calculation. The main advantage of using historical virtual wind power data, instead of historical wind speed data, is the acquisition of real wind power transfer probabilities, which avoids the distortion caused by the nonlinear conversion between wind power and wind speed. Application and comparison studies to demonstrate the effectiveness and cost benefits are performed on two systems. Sensitivity analyses of different parameters used in the method are also investigated. [Display omitted] • A modified wind-thermal unit commitment model is proposed. • Wind power transfer matrix is formed to include the local wind characteristics. • Additional spinning reserve is calculated using the wind power transfer matrix. • Comparison study is conducted. • More realistic result with lower operating cost can be obtained. [ABSTRACT FROM AUTHOR]