Distributed intelligent power grid economic dispatching method based on finite time consistency under directed topology

Abstract

The invention discloses a distributed intelligent power grid economic dispatching method based on finite time consistency under directed topology, and the method comprises the following steps: carrying out mathematical modeling which comprises a total cost objective function and a supply and demand balance and generator power limit constraint function of all generators under power grid economic dispatching; calculating the optimal cost increment of the generator set; calculating the final output power of each generator according to the parameters of each generator of the generator set; and re-determining the new optimal cost increment of the generator set. According to the invention, the intelligent power grid system can complete the economic dispatching process within limited time; the economic dispatching time of the intelligent power grid is shortened, the dispatching cost is greatly reduced, the modern intelligent power grid dispatching requirement is met, the proposed algorithm considers the economic dispatching process under directed communication topology according to the characteristic of difference of information obtained between generators in an actual intelligent power grid system, and the applicability is wider.

Description

technical field [0001] The invention belongs to the field of economic dispatching of electric power systems, and in particular relates to a distributed smart grid economic dispatching method based on a finite time consensus algorithm under a directed communication topology. Background technique [0002] The economic dispatch problem is one of the most important problems in the power system. The economic dispatch refers to making all the generators in the entire power system The generation cost of the unit is minimized. In traditional power systems, the solutions to economic dispatch are mainly divided into two types, one is mathematical methods, including λ iteration method, Lagrange multiplier method, and gradient descent method, etc. This type of method is mainly for convex The cost function case. Another method is intelligent algorithm, including particle swarm algorithm, neural network and genetic algorithm, etc. This type of method is mainly aimed at the case of non-c...

AI Technical Summary

Problems solved by technology

[0003] With the development of science and technology and the wide application of new energy generators, the power system has changed from traditional centralized power supply to distributed power generation with extremely complex topology. Smart grids have emerged as the times require. Traditional economic dispatch methods can no longer meet the requirements of future power grids. and challenges, the distributed economic dispatch method emerges from

By modeling multiple generators in the smart grid as multiple agents, the traditional economic scheduling problem is transformed into a multi-agent consensus problem, and the distributed multi-agent consensus algorithm is used to solve the smart grid economic scheduling problem. To meet the characteristics of smart grid plug-and-play and fast response, a finite-time consistent distributed multi-agent economic dispatch algorithm is applied to the power system, which solves the shortcomings of traditional distributed algorithms, such as slow iteration speed and long convergence time , can complete the economic dispatch of the smart grid within a limited time, which greatly improves the dispatch speed and further reduces the dispatch cost

[0004] However, all the scheduling algorithms mentioned above are based on the case of undirected communication topology, that is, it is assumed that generators (agents) exchange exactly the same information with neighboring generators (agents)

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