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Swarm intelligence optimization method for solving power distribution network sensor node coverage

A technology of sensor nodes and optimization methods, applied in the directions of network topology, energy consumption reduction, electrical components, etc., can solve the problems of endangering the safe operation of the power grid and having a great impact on the operation of transmission towers, and achieve the effect of reducing the number of

Active Publication Date: 2022-06-03
NANJING UNIV OF POSTS & TELECOMM
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  • Application Information

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Problems solved by technology

The transmission tower plays a fundamental and most important role in the distribution network, and the transmission tower may be affected by natural factors such as earthquakes and typhoons, which have a great impact on the operation of the transmission tower. Once the transmission network steel tower has defects (tilting, collapse, etc.) ), it will endanger the safe operation of the power grid
Traditional iron towers mainly rely on regular inspections, human observation and other safety protection methods, but there are certain limitations and subjectivity

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  • Swarm intelligence optimization method for solving power distribution network sensor node coverage
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  • Swarm intelligence optimization method for solving power distribution network sensor node coverage

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Embodiment Construction

[0035] The technical solutions of the present invention will be further described in detail below with reference to the accompanying drawings.

[0036] The invention takes the wireless sensor network as the background, under the premise of meeting the node coverage requirement, and aiming at minimizing the number of sensors in the distribution network, a population optimization method for solving the sensor node coverage in the distribution network is proposed. The method firstly uses random method to generate initial population, then uses special local search algorithm to optimize the solution of initial population, and then uses population crossover operator and population update method to optimize population to obtain better quality solution.

[0037] image 3 It is a schematic diagram of the coverage modeling of sensor nodes in the distribution network in the embodiment of the present invention, and the implementation process is as follows:

[0038] The transmission steel...

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Abstract

A swarm intelligence optimization method for solving power distribution network sensor node coverage is mainly used for solving the problem of power distribution network sensor node coverage. The method mainly comprises three main parts, namely a local search method, a parent crossover operator and a population updating method. The local search method is used for locally optimizing individuals in the population; the parent crossover operator generates a progeny solution in a parent crossover manner, so that the progeny solution inherits genes of two parent solutions in an equal probability manner; the population updating method is used for updating the population in each iteration and ensuring the diversity and the solution quality of the population. On the premise of ensuring the node coverage requirement, the number of the power distribution network sensors is optimized, so that the number of the power distribution network sensors is as small as possible, and the purpose of reducing the construction cost is achieved.

Description

technical field [0001] The invention is suitable for the sensor node coverage problem of the distribution network in the wireless sensor network, and provides a swarm intelligence optimization algorithm for solving the problem of minimizing the number of sensors in the distribution network on the premise of satisfying the node coverage requirement. Background technique [0002] Wireless Sensor Networks (WSN) is a mobile self-organizing network composed of a large number of tiny, low-cost and energy-resource-constrained sensor nodes to achieve effective monitoring of target areas. A key problem in the field of wireless sensor networks is network node coverage optimization. Network node coverage optimization refers to maximizing the effective coverage of WSN monitoring objects by moving the location of sensors, which will directly affect various performance indicators of WSN, such as network connectivity, network coverage and network life cycle. [0003] With the development ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W16/18H04W16/22H04W84/18
CPCH04W16/18H04W84/18H04W16/22Y02D30/70
Inventor 赖向京姚强岳东葛辉
Owner NANJING UNIV OF POSTS & TELECOMM