An environment-economic robust dispatching method for power system based on classified uncertain sets

Abstract

An environment-economic robust dispatching method for power system based on classified uncertain sets is disclosed. The method constructs uncertain sets of wind power, photovoltaic power and load based on classified probability opportunity constraints. Furthermore, the robust multi-objective optimal dispatching model of power system environment economy based on classified uncertain sets is proposed, which takes robustness as the objective of collaborative optimization and considers economy and environmental protection comprehensively, so as to realize multi-objective optimal decision. The invention fully takes into account the randomness distribution characteristics differences of wind power, photovoltaic power and load, and realizes accurate description of robustness of optimized dispatching scheme. For the first time, robustness is taken as the objective of collaborative optimization, which eliminates the subjectivity of preset robustness (or confidence), and leads to more reasonablerobustness and higher overall satisfaction.

Description

technical field [0001] The invention relates to a power system environmental economic robust scheduling method based on classified uncertain sets, and belongs to the technical field of power system optimization scheduling. Background technique [0002] With the continuous expansion of the scale of clean energy represented by wind and rain, coupled with the special supply and demand of various loads, various random factors are intertwined, which brings many new challenges to the optimal dispatch of smart grids. Among the random factors involved in system scheduling operation, randomness such as wind power generation, photovoltaic power generation, and load forecast deviations have a particularly obvious impact on the system. How to deal with the above random factors is the key to solving the optimal scheduling problem of large-scale wind power generation systems. [0003] Robust optimization theory is a powerful tool to solve random and uncertain problems. It describes the un...

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Problems solved by technology

[0006] The purpose of the present invention is to solve the problem that the setting method of uncertainty set in the existing robust optimization scheduling model fails to fully reflect the polymorphism of the random distribution of the difference uncertainty factors, and lacks the problem of robust collaborative optimization. The present invention proposes a robust scheduling method for power system environment and economy based on classified uncertain sets

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