Economic dispatching method with robust collaborative consistency

An economic scheduling and consistency technology, applied in the direction of single-network parallel feed arrangement, etc., can solve problems such as communication topology changes, large amount of transmitted data, and failure of the collaborative consensus algorithm to converge

Active Publication Date: 2016-03-23
SOUTH CHINA UNIV OF TECH
View PDF1 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when communicating between agents, due to factors such as a large amount of transmitted data, measurement errors, and external interference, communication delays and channel noise problems will inevitably occur in the communication network; at the same time, in most practic

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Economic dispatching method with robust collaborative consistency
  • Economic dispatching method with robust collaborative consistency
  • Economic dispatching method with robust collaborative consistency

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0045]The Robust Collaborative Consensus Algorithm (RCCA) proposed in this embodiment is firstly an algorithm suitable for decentralized optimal scheduling. It has been improved on the basis of the collaborative consensus algorithm: (1) Introduced consensus The linear gain function effectively suppresses the delay and noise problems of information transmission between agents. (2) At the same time, in order to prevent the time-varying information topology problem caused by the capacity limitation, topology failure and plug-and-play of the intelligent unit, the concept of virtual consistency variable is proposed.

[0046] as attached figure 1 Shown, described a kind of economic scheduling method with robust collaborative consistency, comprises the following steps:

[0047] Step S1, determining the adjacency matrix A of the multi-agent network topology graph, thereby generating a Laplacian matrix L;

[0048] The adjacency matrix A determined in step S1 and the Laplacian matrix ...

Embodiment 2

[0082] In the second embodiment, the decentralized economic dispatch framework model is taken as the research object, and the model includes three power generation intelligent body units. The specific model parameters are shown in Table 1.

[0083] Table 1 Parameters of the decentralized economic dispatch framework model

[0084] In the second embodiment, there are two targets to be optimized, which are the economic target and the emission target. In this embodiment, the method for assigning the power economy / emission target of the intelligent unit in the model to the robust collaborative consistency includes the following steps:

[0085] S1. Determine the adjacency matrix A, thereby generating a Laplacian matrix L.

[0086] Wherein the adjacency matrix A determined in this embodiment is:

[0087] A = 0 1 1 ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an economic dispatching method with robust collaborative consistency. The method comprises the following specific steps: determining a laplacian matrix L; obtaining a total power P<D>, and initializing power generating powers of various units and calculating power deviations; correcting the laplacian matrix L in real time; calculating a consistency gain function c(k); updating a virtual consistency variable of a leader and a follower; calculating real consistency variables of various units; solving the power generating powers P<Gi> of the units; determining power deviations [delta]P and judging whether a power error margin P<error> is met or not; and if so, ending iteration and outputting an optimization result. According to the economic dispatching method, the problem that a traditional CCA algorithm excessively depends on an ideal communication network is solved; the economic dispatching method has robustness on transmission delay and noise interference; the vulnerability that a traditional CCA algorithm cuts off the units from a key position of a communication topology is solved; and plug and play characteristics of the units are considered.

Description

technical field [0001] The invention relates to the technical field of power system economic dispatching, in particular to a method for multi-objective optimal distribution of economic dispatching power based on a non-ideal communication network, and the method is suitable for dynamic multi-objective optimal distribution of decentralized economic dispatching. Background technique [0002] Economic dispatch is an active power optimization problem in power systems. Traditional economic dispatching problems are often solved by centralized control. After the dispatching center has mastered the load of the entire network and the operating conditions of the units, it distributes the load to each unit according to a certain optimization algorithm. Under this centralized optimization method, many scholars at home and abroad have proposed effective solutions. [0003] In recent years, with the miniaturization of computing, communication, and perception devices, it has become reasona...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): H02J3/48
CPCH02J3/48
Inventor 徐豪李清余涛张孝顺
Owner SOUTH CHINA UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap