Multi-region power system completely distributed dynamic and economical dispatching method

Abstract

The invention discloses a multi-region power system completely distributed dynamic and economical dispatching method. The method comprises the steps of establishing a multi-region dynamic and economical dispatching model with minimal total power generation cost for all units in subregions of the whole power grid in a dispatching period, converting the multi-region dynamic and economical dispatching model into a lagrangian solving model and a polynomial approximation model, adopting a cutting plane consistency algorithm for solving the models, generating a cutting plane subset of one subregion through solving lagrangian functions of the subregion, combining the cutting plane subset with cutting plane subsets received externally and transmitting the cutting plane subsets to other subregions through traversing all subregions, and finally establishing exterior approximation problems of the subregions to obtain a global optimal solution of power generation costs. The multi-region power system completely distributed dynamic and economical dispatching method converts the multi-region dynamic and economical dispatching problem into the polynomial exterior approximation problem, approximates the original problem through updating the cutting plane subsets continuously, and can obtain the global optimal solution without adjusting parameters. In the solving process, solving scale of each subregion can be effectively controlled by deleting ineffective cutting planes without affecting the global optimal solution.

Description

technical field [0001] The invention relates to the technical field of dynamic economic dispatching of electric power systems, in particular to a fully decentralized dynamic economic dispatching method for multi-area electric power systems. Background technique [0002] Multi-region grid interconnection plays an important role in improving the economy and security of the entire grid. By exchanging tie line power between different regions, the power resources in each region can be reasonably allocated to achieve the optimal economic efficiency of the entire network. At the same time, when there is a power shortage or equipment failure in a certain area, other areas with surplus power can provide backup. When the traditional centralized optimization algorithm deals with multi-regional dynamic economic dispatch problems of ultra-large-scale power grids, the dispatch center needs to obtain all the data of the entire power grid, and establish a centralized optimization model to ...

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Problems solved by technology

[0003] (1) The amount of information transmitted is very large, and it is not easy to accurately upload the data of each regional power grid;

[0004] (2) Due to the need to protect data privacy, it is not appropriate for each region to upload all information in the region to the dispatch center;

The algorithm convergence of a series of technical solutions based on the Lagrangian relaxation method is very sensitive to the selection of parameters, and the parameters required by different systems are also different. When solving large-scale power systems, the selection of parameters becomes more difficult. Difficult, not conducive to practical application

In addition, the existing technical solutions need to transmit information in two directions between adjacent areas, and the amount of information transmitted is large

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