An Adaptive Robust Backup Optimization Method for Large Power Grid Considering Risk Cost

Abstract

The invention discloses a large power grid adaptive robust backup optimization method considering risk costs, which can comprehensively consider the risk costs caused by the cooperative scheduling ofmultiple-type generator sets and the uncertainty of new energy output. The method includes the following steps: firstly, depicting the uncertainty of output by using a new energy polyhedron uncertainty set, establishing a risk model of expected abandoning new energy and expected load shedding taking into account the error probability of new energy output, comprehensively considering the operationcharacteristics of multi-type power-supply sets, taking the power generation benefits and potential expected risks as backup targets, constructing a rotating backup optimization model for the cooperative scheduling of the multi-type power-supply sets considering the risk costs, and proposing a two-layer optimization algorithm combining an adaptive genetic algorithm and a branch cutting algorithm to solve the constructed model. According to the backup method disclosed by the invention, the optimal uncertainty of the new energy can be adaptively searched, the economic benefits and the risk costsof a backup strategy can be reasonably weighed, and the optimal comprehensive benefits can be realized.

Description

technical field [0001] The invention relates to the technical field of large power grid backup optimization, in particular to an adaptive robust backup optimization method for large power grids considering risk costs. Background technique [0002] With the shortage of fossil energy resources, the greenhouse effect, environmental pollution and other problems becoming more and more serious, new energy power generation technology has developed rapidly due to its strong renewable capacity, clean power generation and non-polluting characteristics. At present, my country's new energy installed capacity exceeds 160 million Kilowatt, has been ranked in the forefront of the world. However, due to the uncertainty and randomness of new energy, its large-scale access will have a greater impact on the traditional large power grid backup strategy. [0003] The traditional large power grid backup strategy mainly uses a certain fixed ratio of the maximum unit capacity or the maximum load of...

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Problems solved by technology

[0006] The purpose of the present invention is to overcome the subjectivity of the existing method for determining the backup of a new energy system and the inability to consider the complementary backup of multiple types of generating sets. The expected wind curtailment and expected load shedding models that take into account the error probability of new energy power generation output, and comprehensively consider the operating characteristics of various types of generating units such as new energy, thermal power, and hydropower, and take power generation benefits and potential expected risks as backup goals, propose A robust backup optimization method for collaborative scheduling of new energy-fire-water-gas-nuclear-pumped storage multi-type generating units considering the uncertainty of new energy, and a two-layer optimization algorithm is proposed to solve the constructed model, It can adaptively weigh the economics and robustness of the power generation backup strategy, and improve the intelligence level and overall economic benefits of the large power grid

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