Power system unit combination method based on random robust optimization

Abstract

The invention relates to a power system unit combination method based on random robust optimization, and belongs to the technical field of power system operation control. The method comprises the following steps: firstly, building a power system unit combination model composed of a target function and a constraint condition; converting the constraint condition, and converting an original model into a nonlinear optimization problem; and solving the converted model to obtain a generator starting plan, and conducting a corresponding starting plan decision according to a solving result to achieveunit combination. According to the method, the fluctuation of renewable energy in a power system is considered, the cost of corrective control is reduced, and the safety of the power system is guaranteed; and the method is suitable to be applied to scenes of day-ahead unit combination and the like of the power system.

Description

technical field [0001] The invention relates to a power system unit combination method based on stochastic robust optimization, and belongs to the technical field of power system operation control. Background technique [0002] The unit combination of the power system plays an important guiding role in the operation of the power system. It is responsible for formulating the start-up plan of the generator set, providing reference for the subsequent power generation plan, and realizing economical operation under the premise of meeting the power load and ensuring the safety of the power system. [0003] In recent years, more and more wind power has been connected to the power system, and the output of wind power is random, so it is necessary to introduce an optimization algorithm that considers uncertainty into the unit combination of the power system. [0004] At present, the commonly used unit combination method is mainly based on the unit combination optimization of DC power...

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Problems solved by technology

[0004] At present, the commonly used unit combination method is mainly based on the unit combination optimization of DC power flow. The unit start-up plan is obtained by solving a deterministic mixed integer quadratic programming problem. System security under uncertainty, without considering the uncertainty of new energy sources

For example, Wang Beibei, Tang Nan, Zhao Shengnan, Lin Kaiying, Wang Yan, Xiao Yong published "A Stochastic & Adjustable Robust Hybrid Day-Ahead Scheduling Model for Demand Response Participating in Wind Power Consumption", see Proceedings of the Chinese Society for Electrical Engineering, 2017, 37(21) :6339-6346, in which the unit combination is divided into two time periods, and the stochastic model and the robust model are used for the decision-making of the start-up plan.

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