Abstract
The integration of large-scale wind and solar power into the power grid brings new challenges to the security and stability of power systems because of the uncertainty and intermittence of wind and solar power. This sensitive expected output has real implications for short-term hydro scheduling (STHS), which provides reserve services to alleviate electrical perturbations from wind and solar power. This paper places an emphasis on the sensitive expected output characteristics of hydro plants and their effect on reserve services. The multi-step progressive optimality algorithm (MSPOA) is used for the STHS problem. An iterative approximation method is proposed to determine the forebay level and output under the condition of the sensitive expected output. Cascaded hydro plants in the Wujiang River are selected as an example. The results illustrate that the method can achieve good performance for peak shaving and reserve services. The proposed approach is both accurate and computationally acceptable so that the obtained hydropower schedules are in accordance with practical circumstances and the reserve can cope with renewable power fluctuations effectively.
Highlights
By the end of 2018, the total installed hydropower capacity in China was 352 GW, and the annual hydropower generation was 1.2 trillion kWh, both of which continue to rank first in the world [1]
The uncertainty and intermittence of wind and solar power can be compensated by reserve services that are supplied by cascaded hydro plants
The model developed in this study takes into consideration the sensitive expected output of hydro plants in the short-term hydro scheduling (STHS), which provides reserve services to cope with renewable power fluctuations
Summary
By the end of 2018, the total installed hydropower capacity in China was 352 GW, and the annual hydropower generation was 1.2 trillion kWh, both of which continue to rank first in the world [1]. There are bulk hydropower plants with a large installed capacity and high head in Southwest China. Large-sized hydro plants perform the important task of peak regulation and reserve services in Southwest China. The relationship between the maximum output and the net head becomes ambiguous when the unit performance curves are converted into the performance of a hydro plant. Expected output is considered to be a function of the head in [8], but there is no further analysis of the impact on reserve services in the case of large-scale grid integration of wind and solar power into the power grid. The sensitive expected output characteristic makes the reserve supplied by hydro plants volatile. This paper places an emphasis on the sensitive expected output characteristic of hydro plants and its effect to the reserve services.
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