Graph-theory-based intelligent optimization method for failure recovery of smart distribution grid

An intelligent distribution network and fault recovery technology, applied in the energy industry, instruments, sustainable manufacturing/processing, etc., can solve the problem that the algorithm falls into the local optimal solution, violates the distribution network radial constraints, power balance constraints, and algorithm efficiency lowering etc.

Inactive Publication Date: 2015-08-05
中科(深圳)智慧信息科技有限公司
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Problems solved by technology

However, the intelligent algorithm adopts the method of random optimization, and it is easy to generate a large number of infeasible solutions that violate the radial constraints and power balance constr

Method used

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  • Graph-theory-based intelligent optimization method for failure recovery of smart distribution grid
  • Graph-theory-based intelligent optimization method for failure recovery of smart distribution grid
  • Graph-theory-based intelligent optimization method for failure recovery of smart distribution grid

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example 2

[0149] In example 2, a permanent fault occurs at the PCC point of the smart distribution network, that is, the circuit breaker switch (1) is turned off, and the entire distribution network system forms an isolated island, and load shedding operations are required to ensure the power supply of a class of loads. That is, the problem of island division (currently more heuristic fault recovery algorithms cannot handle such PCC point faults and distribution network power supply recovery problems including tie switches, and the project algorithm of the present invention can handle them). The fault recovery scheme of the distribution network containing DG when the PCC point fails is shown in Table 4 and Figure 10 shown. It can be seen from the analysis that when a fault occurs at the PCC point, the entire island system will not be able to support the power supply of all loads, the system collapses, DG withdraws from the distribution network, and all loads lose power; therefore, with...

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Abstract

The invention discloses a graph-theory-based intelligent optimization method for failure recovery of a smart distribution grid. The method comprises the following steps of 1) inputting network parameters including an original structure of a distribution network, line parameters of each branch, load of each node, DG (Distributed Generation) data and other parameters; 2) inputting a number of the current faulty line and zeroing the corresponding switching state thereof; 3) setting dimensionality, iterations and corresponding parameter values of a quantum particle swarm optimization algorithm; 4) initializing a position value xk, a quantum bit, a rotation angle, a local optimal vector xp and a global optimal vector xg of each particle; 5) correcting the position value of each particle based on a graph theory; 6) updating a rotation angle guiding value, a quantum rotation angle and a bit of each quantum particle in sequence; 7) updating the position value xk of each quantum particle; 8) updating the local optimal vector and the global optimal vector of each particle; 9) carrying out convergence test; and 10) outputting an optimal particle position value x to obtain a corresponding failure recovery strategy.

Description

technical field [0001] The invention relates to an intelligent optimization method for fault restoration of an intelligent distribution network based on graph theory, and is especially aimed at a large number of infeasible solutions generated by correcting intelligent optimization algorithms in fault restoration problems. Background technique [0002] With the strengthening of distribution network construction and the maturity of micro-grid technology, distributed generation (distributed generation, DG) plays an increasingly important role in the power grid. The connection of DG to the distribution network makes the structure of the distribution network more and more complicated. Once the distribution network fails, if the corresponding failure recovery strategy cannot be formulated quickly, it may lead to the expansion of the power outage area, and it is difficult to give full play to the greatest advantage of DG. , causing huge economic losses. Therefore, the fault recove...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCY02P80/14
Inventor 王晶陈骏宇冯杰
Owner 中科(深圳)智慧信息科技有限公司
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