Electric power system dynamic random economic dispatching method and device based on general distribution

Abstract

The invention discloses an electric power system dynamic random economic dispatching method and device based on general distribution. The method comprises the steps that day-ahead system load prediction data, day-ahead wind power prediction data and the like are input, it is assumed that a planned output of a wind power plant is a wind power prediction value, the quadratic programming problem is solved to obtain all thermal power unit outputs based on wind power prediction, the wind power prediction value and all the solved thermal power unit outputs are used as initial iteration points of an interior point method, the interior point method is utilized for iteratively solving a converted convex optimization problem with a constraint condition being linearity until iteration is stopped, and the planned outputs of the thermal power units and the planned output of the wind power plant are output. The method has high popularization value and good application prospects.

Description

technical field [0001] The invention belongs to the field of power system operation and control, and relates to a dynamic random economic scheduling technical scheme of a power system based on general distribution and considering low and overestimated costs of wind power. Background technique [0002] With the large-scale integration of wind power into the grid, the uncertainty of wind power has brought new challenges to the economic dispatch of the power system. With the gradual increase of wind power penetration, how to reasonably describe the uncertainty of wind power and apply it to the economic dispatch and optimal operation of the power system is of great significance. [0003] Stochastic optimization is an effective method to deal with uncertain optimization problems, and has been widely used in uncertain power system economic dispatch problems. How to accurately describe the uncertainty of wind power and effectively solve the corresponding optimization model is a ke...

AI Technical Summary

Problems solved by technology

Usually such methods can avoid errors caused by wind speed-wind power conversion, but there is no very suitable distribution function to describe the distribution of wind power, and the corresponding stochastic optimization solution process is relatively complicated

However, there is no relevant technical solution with practical value

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