A distribution network reliability assessment method based on trapezoidal fuzzy number system
A trapezoidal fuzzy number and reliability technology, applied to electrical components, circuit devices, AC network circuits, etc., can solve problems such as failure to identify weak links in the system and difficulty in accurately converging, so as to achieve intuitive and clear reasoning relationships, ensure accuracy, The effect of a clear logical structure
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[0052] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:
[0053] Firstly, the Improved Fuzzy Reasoning Spiking Neural P Systems with Trapezoidal Fuzzy Numbers (ITFRSNP) system is introduced. It is based on the fuzzy reasoning trapezoidal fuzzy number SNP (Fuzzy Reasoning Spiking Neural P Systems with Trapezoidal Fuzzy Numbers, TFRSNP) system, making full use of its characteristics of parallel and efficient processing of fuzzy information, changing the definition of neurons to make it applicable In the reliability assessment of distribution network.
[0054] The formal definition of the improved fuzzy reasoning trapezoidal fuzzy number SNP is as follows:
[0055] The formal composition of an ITFRSNP system with degree m is as follows:
[0056] Π=(A,σ 1 ,…,σ m ,syn,I,O);
[0057] in:
[0058] (1) A={a} is a set of single letters, and a represents a pulse.
[0059] (2)σ 1 ,…,σ m is m neurons, the composi...
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