Optimization calculation method of wind power plant power fluctuation stabilization target value

Abstract

The invention discloses an optimization calculation method of a wind power plant power fluctuation stabilization target value. The optimization calculation method comprises the following steps that: 1) wind power plant output power PT (t) within a time section T is selected; 2) the wind power plant output power PT (t) is divided into k segments, wherein the power offset quantity of the i-th segment can be obtained through the formula mentioned in the description, wherein the PG.i is the target power value of the i-th interval segment, the ti-1, and ti are starting time and finishing time of the i-th interval segment respectively, the t0 is the starting time of the selected time section wind power plant out power PT (t), and in a selected time section of t0 to tk, the equation of t0 <t1 <...tk-1<tk is satisfied; and 3) minimization of the total square deviation of power offset quantity P delta.k.i is adopted as a target, starting time ti-1 corresponding to each branch end and a target power value PG.i of each segment are optimized through the target function formula mentioned in the description. With the optimization calculation method of the wind power plant power fluctuation stabilization target value of the invention adopted, high-degree optimization of related evaluation indexes can be realized, and local search ability in the aspect of solution algorithms is improved, and the validity and accuracy of data calculation can be ensured, and scheduling and decision-making requirements can be satisfied.

Description

technical field [0001] The invention relates to the technical field of wind power control, in particular to an optimal calculation method of a wind farm power fluctuation stabilization target value considering energy storage capacity planning. Background technique [0002] As the penetration rate of renewable energy represented by wind power and photovoltaics increases, its intermittency and uncertainty pose continuous challenges to the safe and reliable operation of the power grid. Due to its characteristics of charging and discharging energy, energy storage has become an important way to smooth the power of renewable energy and overcome its volatility. One of the key problems in configuring energy storage in wind farms is how to coordinate and determine the energy storage capacity in the face of the constraint relationship between smoothing effect and input cost, so that the limited capacity can meet the effectiveness and economy of energy storage system operation at the s...

AI Technical Summary

Problems solved by technology

The long-term stable output puts forward higher requirements for energy storage capacity, and at the same time, the utilization efficiency of high wind power will also decrease; and the subjective fixed window division and target value determination cannot achieve power fluctuation stabilization target value and original wind power. The optimal match between outputs, and the utilization rate of wind power is not the highest

Therefore, the unreasonable and subjective selection of the target power value may greatly increase the energy storage capacity and easily reduce the utilization efficiency of wind farm power. Optimizing the target power value is an important prerequisite and step to ensure the optimal energy storage capacity

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