Power distribution network anti-error optimization method

An optimization method and technology of distribution network, applied in electrical components, circuit devices, AC network circuits, etc., can solve problems such as large amount of calculation, inability to guarantee convergence reliability, huge solution space, etc., to achieve balanced feeder load, eliminate support The effect of circuit overload, voltage over-limit and small network loss

Active Publication Date: 2013-04-10
南京软核科技有限公司 +1
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Problems solved by technology

Moreover, the solution space is too large, so that the calculation amount is very large in the direct mat...

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  • Power distribution network anti-error optimization method

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Embodiment Construction

[0019] A method for error prevention optimization of a distribution network, comprising the following steps:

[0020] 1. Divide the distribution network topology system into several independent units according to the current operating state, and ensure that each unit has one and only one switch that is disconnected, so that the number of units is equal to the number of switches that are switched off;

[0021] 2. Use the switch state of each unit to encode the real number through the switch exchange algorithm, and then connect all the units into a chromosome;

[0022] 3. By setting the objective function and constraint conditions, the chaos genetic algorithm is used to calculate the network, so as to obtain the optimal solution.

[0023] When implemented

[0024] 1 Mathematical model of error prevention optimization

[0025] 1.1 The objective function of error prevention optimization

[0026] The objective function adopted in the present invention is to reduce the line loss ...

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Abstract

The invention provides a power distribution network anti-error optimization method. The power distribution network anti-error optimization method is characterized by comprising the following steps: 1, dividing a power distribution network topological system into a plurality of independent units according to a current running state, wherein each unit is provided with only one off switch and the number of the units is equal to the number of switches with off states; 2, performing real number encoding on the on-off state of each unit by a switch exchange algorithm, and connecting all the units into a chromosome; and 3, through a set objective function and set constraints, calculating the network by a chaos genetic algorithm so as to obtain an optimal solution. The invention has the advantages as follows: the power distribution network anti-error optimization method has certain theoretical study value and certain practical value; on the premise of meeting security constraints, the running way of a distributing line is changed by a switch operating method and the like, so that branch circuit overload and voltage out-of-limit are eliminated, feeder load is balanced and network loss is minimum; and the power distribution network anti-error optimization method has an obvious advantage in network loss improvement and convergence rate and is more suitable for on-site real-time application.

Description

technical field [0001] The invention proposes an anti-mistake optimization method for a distribution network. This method combines the branch exchange algorithm and the chaotic genetic algorithm. Under the premise of satisfying the voltage and line power flow constraints, the state of the section switch and the tie switch in the error prevention optimization is determined by the genetic algorithm. Then calculate the network loss and the required switching times in different networks, and finally the scheme with the smallest network loss and the least switching times is the optimal scheme. Background technique [0002] The research on anti-error optimization method of distribution network emerged in the late 1980s, and has attracted the attention of many scholars because of its important role in reducing distribution network loss and improving system security. The early distribution network reconfiguration was mainly to study the reconfiguration problem in the distribution n...

Claims

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Application Information

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IPC IPC(8): H02J3/00G06N3/12
CPCY02E40/70Y04S10/50
Inventor 王朝明马春生陈国成徐爱良钱晓俊张照锋朱明柱彭江张联庆张琳
Owner 南京软核科技有限公司
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