Random optimal trend calculation method based on random response surface method

Abstract

The invention discloses a random optimal trend calculation method based on a random response surface method. The influences of randomness of input variables are taken into consideration in an optimization process, and finally, a group of optimal solutions satisfying certain opportunity constraints are obtained. The method comprises the following steps: first of all, power system information is input, random input variables (disturbance variables) in a system are determined, the input variables are substituted as expected values, and an optimal scheduling scheme is obtained by performing deterministic optimal trend calculation by use of a primal-dual interior-point method; then, a probability trend is calculated by use of the random response surface method, a probability distribution of system state variables under the scheduling scheme is obtained, and random variables with correlation are processed by use of Nataf transformation; and finally, by use of a probability distribution function, whether the state variables satisfy restrictions of the opportunity constraints is determined, if not, upper and lower limits of the opportunity constraints are adjusted, and the steps of the deterministic optimal trend calculation and opportunity constraint examination are restarted until a scheduling scheme satisfying the opportunity constraints is obtained.

Description

technical field [0001] The invention relates to a stochastic optimal power flow (SOPF) calculation method based on a stochastic response surface method, which is used for calculating the optimal power flow of a power system considering load and randomness of new energy grid connection. It is suitable for solving the influence of load and distributed energy access randomness in the optimization process, and finally obtains a set of optimal solutions satisfying certain chance constraints, which belongs to the stochastic programming problem. Background technique [0002] With the rapid development of the global economy, the environment of countries around the world is deteriorating and energy is becoming increasingly scarce. These two problems have become global problems. These make it necessary to change the traditional energy development structure and continuously develop and utilize new energy to better promote the coordinated and sustainable development of economy, environm...

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Problems solved by technology

[0004] The accuracy of SOPF calculation results largely depends on whether the calculation results of the probability density function of state variables are accurate enough. Among the existing probability power flow calculation methods, the Monte Carlo method is accurate but the calculation efficiency is low, and the semi-invariant method , point estimation method and other methods are fast but not accurate enough

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