Distributed economic dispatch method for ubiquitous power Internet of things based on transition matrix

Abstract

The invention discloses a ubiquitous power Internet of things distributed economic dispatch method based on transition matrix. The method includes: setting a unit output marginal cost function, and extracting key cost parameters in the unit output marginal cost function; Establish an optimization model with the ubiquitous power Internet of Things communication topology, and solve the optimization model to obtain an optimized transition matrix; generate a unit output plan according to the optimized transition matrix and distributed economic dispatch protocol for distributed economic dispatch. The method can improve the operation efficiency of economic dispatch under distributed communication topology, and improve the economy and safety of power system operation.

Description

technical field [0001] The invention relates to the technical field of power system economic dispatching, in particular to a transition matrix-based distributed economic dispatching method of the ubiquitous power Internet of Things. Background technique [0002] With the increasing popularity of distributed energy in the Energy Internet, the traditional centralized economic dispatch is facing new challenges. Massive distributed energy resources require high-bandwidth, high-reliability communication infrastructure, and centralized economic dispatch concentrates communication on the central node, which not only increases the possibility of communication congestion, but also a single point of failure at the central communication node will cause the entire The system is paralyzed. Distributed algorithms can be optimized through local information exchange, eliminating the need to build a centralized communication topology and avoiding the threat of a single point of failure at a...

AI Technical Summary

Problems solved by technology

The information exchange of the former still relies on the central coordination node, but the amount of communication information is slightly less than that of the centralized one; the latter can completely rely on the peer-to-peer decentralized operation mode between nodes of the same status to achieve the goal of economic scheduling, and can better utilize the distributed algorithm. Rod advantage, but low operating efficiency and poor iteration convergence

For this reason, there are relevant literatures that introduce a two-layer consensus agreement between unit output and marginal cost, and use auxiliary parameters to connect the two-layer agreement, but the selection of auxiliary parameters is relatively sensitive and the convergence rate is also poor

There are other related literatures to identify system parameters from iterative history information to speed up convergence, but the termination time is highly random and the effect of early termination is not good

[0005] The existing completely peer-to-peer decentralized distributed economic scheduling algorithm fails to make full use of the global communication topology information, with low operating efficiency and poor iterative convergence, which is not conducive to practical application

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