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Power-quality (PQ) governance decision support method based on fuzzy expert system

A fuzzy expert system and power quality technology, applied in fuzzy logic-based systems, electrical components, logic circuits, etc., can solve problems such as the failure of PQ governance methods to provide effective auxiliary decision support, and achieve reasonable results in the decision support process

Inactive Publication Date: 2018-08-14
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0004] The present invention overcomes the problem that the existing PQ management method fails to provide effective auxiliary decision-making support, comprehensively considers the economic loss and treatment cost caused by the deviation of the steady-state PQ index, and quantifies the cost-benefit analysis of various PQ alternative treatment schemes Based on the above, a fuzzy expert system-based PQ governance decision-making support method is proposed, which can provide effective PQ governance plan decision-making support for the specific PQ characteristics of the target power grid.

Method used

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  • Power-quality (PQ) governance decision support method based on fuzzy expert system
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  • Power-quality (PQ) governance decision support method based on fuzzy expert system

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Embodiment Construction

[0028] The present invention will be further described in detail below in conjunction with the embodiments and accompanying drawings, but the embodiments of the present invention are not limited thereto. The general flowchart of the PQ governance decision support method based on fuzzy expert system in the embodiment is as attached figure 1 shown, including the following steps:

[0029] 1. Acquisition, calculation, analysis and statistics of PQ index deviation information: arrange PQ monitoring devices at appropriate observation points in the target power grid to complete real-time acquisition of PQ disturbance signals and voltage deviation, frequency deviation, voltage fluctuation, and three-phase unbalance Real-time calculation of the deviation values ​​of the steady-state PQ indicators such as harmonic distortion rate; and then according to national standards and system requirements, divide the steady-state PQ indicators into several quality levels according to the appropria...

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Abstract

The invention discloses a power-quality (PQ) governance decision support method based on a fuzzy expert system. The method includes collection, calculation, analysis and counting of power-quality index deviation information of a target power network, cost-benefit analysis and evaluation of all steady-state power-quality index deviations, input variable definition and fuzzification of the decisionexpert system, output variable definition and fuzzification of the decision expert system, establishment of a fuzzy expert rule library based on production-type rules, construction of a fuzzy reasoning mechanism of the decision expert system and output and interpretation of a decision support result.

Description

technical field [0001] The invention relates to a decision support method for power quality control based on a fuzzy expert system, which belongs to the fields of electrical engineering and power quality. Background technique [0002] In recent years, with the widespread use of various advanced power electronic devices and the high penetration rate of distributed energy (Distributed Generation, DG) access, the power quality (Power Quality, PQ) problem in the grid has become more and more complicated. Due to the great differences in the structure, composition and operation characteristics of various types of power grids, their power quality characteristics are different. For non-expert personnel such as ordinary grid employees, DG or microgrid users, how to make a reasonable choice among many PQ governance schemes, and make the system PQ governance scheme with the best cost performance under the premise of taking into account effectiveness and economy is very challenging. . ...

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06G06N7/02
CPCG06Q10/06395G06N7/02G06Q50/06
Inventor 翁国庆舒俊鹏朱双双龚阳光
Owner ZHEJIANG UNIV OF TECH
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