Power system planning operation optimization method considering new energy output uncertainty

Abstract

The invention discloses an electric power system planning operation optimization method considering new energy output uncertainty. The method comprises the following steps: acquiring technical economic characteristic data of a power grid, new energy power generation, a load and various controllable equipment; according to the obtained data, by taking the maximum new energy bearing capacity and the minimum system network loss, investment cost and operation as optimization objectives, establishing a power system planning operation optimization model P1 considering the uncertainty of new energy output; according to the established optimization model P1, using a relaxation technology to process nonlinear constraints in the model to obtain a relaxation model P2; according to the relaxed model P2, performing conversion processing on the constraint of the new energy unit about uncertainty to obtain an optimization model P3; solving the model P3, and updating the model P3 according to a solving result; and repeatedly solving and updating the P3 until the iteration termination condition is met, and outputting the optimal bearing capacity of the new energy, the controllable equipment investment and the scheduling operation scheme. The method can be applied to the fields of power grid investment planning, new energy maximum bearing capacity optimization, new energy uncertainty consumption, distributed energy site selection, distributed energy overall configuration operation optimization, efficiency and benefit optimization and the like.

Description

technical field [0001] The invention belongs to the technical field of smart grids, and relates to a power system planning and operation optimization method considering the uncertainty of new energy output. Background technique [0002] With the development of new energy power generation technology and the continuous increase of government support, new energy is showing an explosive growth trend in my country. In 2020, my country's photovoltaic and wind power installed capacity increased by 48.2GW and 71.7GW respectively, and a series of related policies have been introduced to support and encourage the development of new energy. However, due to the inherent randomness and volatility of new energy output, the rapidly growing penetration rate will bring huge challenges to the power system, such as overvoltage, power imbalance, and curtailment of wind and solar. Therefore, the optimization method of power system planning and operation considering the uncertainty of new energy...

AI Technical Summary

Problems solved by technology

[0003] At present, there are some methods that use the regulation and control of controllable equipment such as energy storage, flexible thermal power, static var compensator, etc. to ensure the safe operation of the power grid under the high penetration rate of new energy, but most of these methods use nonlinear optimization models, often Inefficient solution

In addition, the new energy output in most of the power system planning and operation related literature is mostly extracted from historical data or expressed by rated power, without taking into account the challenges brought by the uncertainty of new energy output to the safe operation of the system

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