A double-layer multi-target power dispatching method based on power uncertainty and low-carbon appeal

Abstract

The invention relates to a double-layer multi-target power dispatching method based on power uncertainty and low-carbon appeal, which comprises the following steps of: 1, constructing a power dispatching double-layer decision-making system, adopting a standby coefficient as an uncertain factor of an upper-layer decision maker, and adopting a carbon emission coefficient as an uncertain factor of alower-layer decision maker; 2, obtaining fuzzy variables of the two uncertain factors respectively,carrying out fuzzy number conversion, and describing a standby coefficient and a carbon emission coefficient as triangular fuzzy numbers respectively; 3, obtaining upper and lower layer objective functions and upper and lower layer constraint conditions, and performing opportunity processing on the fuzzy number; 4, obtaining a double-layer multi-target power dispatching planning global model based on the power uncertainty and the low-carbon appeal; and 5, converting the double-layer multi-targetpower dispatching planning global model into a single-layer planning function, calculating a satisfactory solution, and carrying out regional power dispatching according to a result under the satisfactory solution. Safe and reliable operation of a power grid is guaranteed, and decision-making efficiency and accuracy in power dispatching are effectively improved.

Description

technical field [0001] The invention relates to power dispatching technology, in particular to a double-layer multi-objective power dispatching method based on power uncertainty and low-carbon demands. Background technique [0002] Two-level decision optimization method is a kind of optimization method for problems with two-level hierarchical structure. It mainly studies planning and management problems with two-level systems; it is divided into upper and lower levels, and the upper and lower levels have their own decision variables. , constraints and objective function. One of the main aspects that this method is different from other optimization methods is that it is no longer a decision-maker for planning and decision-making, but there are two layers of decision-makers. The upper-level decision-makers only guide the lower-level decision-makers through their own decisions, not directly. Interfering with the decision-making of the lower level; while the lower-level decisio...

AI Technical Summary

Problems solved by technology

[0004] In the past few decades, decision-making optimization technology has played a vital role in power dispatching. The main related technologies include multi-objective decision-making optimization, multi-attribute decision-making optimization and multi-stage decision-making optimization. One of the main characteristics of these decisions Decision-making is made by one subject without considering the opinions and feedback of other stakeholders

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