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An Economic Scheduling Method with Robust Cooperative Consistency

An economical scheduling and consistent technology, applied in the direction of single-network parallel feeding arrangement, etc., can solve the problems of communication topology change, large amount of transmitted data, failure of collaborative consensus algorithm to converge, etc., and achieve the effect of suppressing delay and noise problems.

Active Publication Date: 2018-02-27
SOUTH CHINA UNIV OF TECH
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  • 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 practical multi-intelligence In the agent network, the topology structure is not fixed, and the communication topology will also change due to failures in the operation of the agent or communication transmission.
These problems will cause the proposed consensus algorithm to fail to converge

Method used

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  • An Economic Scheduling Method with Robust Cooperative Consistency
  • An Economic Scheduling Method with Robust Cooperative Consistency
  • An Economic Scheduling Method with Robust Cooperative Consistency

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Embodiment 1

[0044] The Robust Collaborative Consensus Algorithm (RCCA) proposed in this embodiment is firstly an algorithm suitable for decentralized optimal scheduling. It is improved on the basis of the Collaborative Consensus Algorithm: (1) Introduce The consistency gain function is established, which 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.

[0045] as attached figure 1 Shown, described a kind of economic scheduling method with robust collaborative consistency, comprises the following steps:

[0046] Step S1, determining the adjacency matrix A of the multi-agent network topology graph, thereby generating a Laplacian matrix L;

[0047] The adjacency matrix A determined in step S1 and the Laplac...

Embodiment 2

[0081] 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.

[0082] Table 1 Parameters of the decentralized economic dispatch framework model

[0083]

[0084]

[0085] 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:

[0086] S1. Determine the adjacency matrix A, thereby generating a Laplacian matrix L.

[0087] Wherein the adjacency matrix A determined in this embodiment is:

[0088]

[0089] Wherein the Laplacian matrix L determined in the present embodiment is:

[0090]

[0091] S2. The total power of the acquisition system P D...

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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

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/48
CPCH02J3/48
Inventor 徐豪李清余涛张孝顺
Owner SOUTH CHINA UNIV OF TECH
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