A wind-water combined scheduling method considering a meteorological forecast uncertainty accumulation process

Abstract

The invention provides a wind-water combined scheduling method considering a meteorological forecast uncertainty accumulation process. The method comprises the steps of establishing a wind-water medium-and-long-term combined scheduling objective function; Based on a hydropower station reservoir capacity deterministic equivalence class, a hydropower station output constraint expression, a hydropower station power generation flow constraint expression and a hydropower station discharge flow constraint expression, solving a wind-water medium-and-long-term combined dispatching objective function;And performing wind-water combined scheduling based on the solved fluctuation F1 of the wind-water power generation combined output, the converted electric quantity F2 of water and electricity discarding in the wind-water power generation combined output and the output F3 of the hydropower station in the wind-water power generation combined output. Medium and long term wind is considered; whereinon the basis of the runoff forecasting uncertainty accumulation process, the minimum fluctuation of the wind-water power generation combined output is taken as a target I, and on the basis of the angle of the hydropower station, the purpose II is that the water abandoning is reduced as much as possible while the guaranteed output of the hydropower station is met; and 3, under the related operationconstraints, the coordinated operation of wind water resources on the medium-long-term scale is realized.

Description

technical field [0001] The invention relates to the field of wind power control, in particular to a wind-water joint scheduling method considering the accumulation process of weather forecast uncertainty. Background technique [0002] The development and utilization of renewable energy is an important way to deal with global climate change and energy shortages, but at the same time, due to the volatility and uncontrollability of wind energy resources, the problem of wind power consumption has become increasingly prominent. According to statistics, from 2011 to 2015 The annual national average wind abandonment rate reached 13.4%, and in 2016 the national wind abandonment rate reached 17.1%. [0003] Hydropower and wind energy resources have good seasonal complementarity, and the storage capacity adjustment capacity of the reservoir and the rapid response characteristics of the hydropower unit enable the hydropower output to track and compensate the output change of wind power...

AI Technical Summary

Problems solved by technology

However, the significant diurnal fluctuations of wind power output may cause large diurnal differences in equivalent load, thereby increasing the system’s peak-shaving requirements and operating costs; at the same time, the storage capacity of hydropower stations cannot be adjusted in a short time scale. fully use

2) In terms of coordination goals, little attention has been paid to the self-benefits of hydropower

When hydropower compensates for wind power, it usually wastes too much water energy, forming a situation of "abandoned water compensation", making it impossible for hydropower itself to guarantee output

3) In the operation scenario, it is usually based on the hydropower, wind farm station or unit given in advance, and does not consider whether the corresponding hydropower and wind energy resources have a good complementary effect. The optimal power generation plan thus obtained may generate hydropower. "Under compensation" or "abandoned water compensation"

However, most existing studies use constant probability distribution or fuzzy parameters to represent uncertainty, but ignore the relationship between weather forecast uncertainty and forecast period

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