Construction Method of Uncertain Set for Robust Scheduling of Power System

Abstract

The invention discloses a robust dispatching uncertainty set construction method of an electric power system by taking minimum comprehensive cost as target. The construction method comprises the following steps: S1, a Yt definition formula is included: a formula which is as shown in the specification; in the formula, the formula which is as shown in the specification is a wind power total output prediction value at the time frame of t, and u(t) and v(t) are wind power downward fluctuation ratio and upward fluctuation ratio respectively; for definition of Yt, the following control variable X is taken into consideration; X is equal to {u(1), v(1) until u(t), v(t) until u(T), v(T)}; S2, the target function has the minimum comprehensive cost: min.f is equal to f1+ f2; in the formula, f1 is power generation cost in a prediction scene, f2 is a risk cost expected value generated in handling wind power output fluctuations; f1 plus f2 is equal to the total expected cost of a dispatching scheme, namely the comprehensive cost; and S3, according to constraint equations, the wind power total output should satisfy upper and lower limit constrains in an optimization process, as shown in the formula as follows: a formula which is as shown in the specification. By means of performing risk evaluation on wind power abandonment and load shedding, dispatching robust is converted into an economic index, and an uncertainty set optimization model capable of realizing the minimum comprehensive cost is established.

Description

technical field [0001] The invention relates to the field of electric power systems, in particular to a method for constructing an uncertain set of robust scheduling in electric power systems. Background technique [0002] After large-scale new energy is connected to the grid, the traditional dispatching system of the power system based on accurate load forecasting is no longer applicable. Traditional dispatching methods deal with wind power fluctuations by reserving a fixed proportion of reserve capacity, but it is difficult to accurately obtain the reserve capacity sufficient to ensure system security. A better solution is stochastic optimization technology, which randomly simulates the output of wind power according to the probability density distribution function to obtain the optimal expected cost in the statistical sense. However, it still has certain complexity and limitations when applied to large-scale power systems. [0003] Robust scheduling has received extensi...

AI Technical Summary

Problems solved by technology

By analyzing the influence of uncertain set on robust scheduling, an uncertain set selection method satisfying a certain confidence level is proposed, so that the scheduler can control the conservative degree of the robust scheduling strategy according to the risk preference, but subjectively control the conservative degree of scheduling It is difficult to reach the optimal solution

[0006] It can be seen that the conflict between economics and robustness of robust scheduling has not been resolved in the prior art

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