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Predication control based multi-time-lag intelligent power grid economic scheduling method

A smart grid and economic dispatch technology, applied in forecasting, instrumentation, data processing applications, etc., can solve problems such as the impact of stable operation of the power grid, and achieve the effect of improving robustness and adaptability, simple requirements, and strong applicability

Inactive Publication Date: 2017-12-08
XIAMEN UNIV
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Problems solved by technology

However, the above phenomenon is inevitable in the actual grid operation, and will have an important impact on the stable operation of the grid

Method used

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  • Predication control based multi-time-lag intelligent power grid economic scheduling method
  • Predication control based multi-time-lag intelligent power grid economic scheduling method
  • Predication control based multi-time-lag intelligent power grid economic scheduling method

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Embodiment Construction

[0057] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0058] Such as figure 1 Shown is a flow chart of the predictive control-based multi-time-delay smart grid economic dispatching method of the present invention. The specific steps of the process are as follows:

[0059] Step 1. Determine the number N of power generation equipment in the power grid, construct an undirected connected network topology graph containing N nodes according to the IEEE power distribution system, and obtain the adjacency matrix, incidence matrix and Laplacian matrix of the graph, refer to formula (1) ;

[0060] Step 2, establishing a mathematical model of the smart grid economic dispatching problem, determining model parameters, referring to formulas (2), (3) and (4);

[0061] Step 3, according to the time-delay information, construct a state predictor to compensate for the negative impact of time-delay on system operation, refer...

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Abstract

A predication control based multi-time-lag intelligent power grid economic scheduling method relates to intelligent power grid scheduling. The method includes 1, constructing a network structure typological graph and obtaining an adjacent matrix, a degree matrix and a Laplacian matrix; 2, constructing a mathematic model for intelligent power grid economic scheduling and acquiring system parameters; 3, designing a power generation device output state predicator; 4, giving initial values of the power generation devices; 5, setting a communication mode so as to enable each power generation device to communicate with an adjacent device only, operating a distributive control algorithm and adjusting the state of each node; 6, judging whether the incremental cost state of all the nodes achieves consistence or not, if the consistence is achieved, turning to step 7, and if the consistence is not achieved, returning to step 5; 7, obtaining the optimal solution of the intelligent power grid economic scheduling problem.

Description

technical field [0001] The invention relates to smart grid dispatching, in particular to a predictive control-based multi-time-delay smart grid economic dispatching method. Background technique [0002] In recent years, with the upgrading and adjustment of the energy industry structure and the popularization of network communication technology, the marketization of the power industry has been steadily advancing, and users' requirements for power services have continued to increase. In this context, the concept of smart grid came into being. The construction of smart grid is a huge historical project, which is still in its infancy worldwide, and has become one of the hotspots of future grid research. Power grid companies focus on how to effectively improve the efficiency of energy transmission and use, and enhance the safety, reliability and flexibility of power grid operation; while power users are concerned about whether they can reduce electricity expenditures and improve...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06Y04S10/50
Inventor 陈飞陈晓政
Owner XIAMEN UNIV
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