Multi-state reliability evaluation method for multi-energy coupling and conversion integrated energy system

Abstract

The invention discloses a multi-state reliability evaluation method for a multi-energy coupling and conversion integrated energy system. Establishing a multi-energy conversion element multi-state reliability model considering multi-energy conversion, performing reliability aggregation by adopting a clustering algorithm, and performing mapping to form an aggregation multi-state reliability model; establishing a multi-energy coupling element multi-state reliability model considering multi-energy coupling, and sequentially performing reliability approximation processing by adopting Gaussian approximation and sampling approximation to obtain a multi-state approximation reliability model; and processing the aggregated multi-state reliability model and the multi-state approximate reliability model according to a rapid reliability evaluation method to obtain the reliability of the integrated energy system, thereby realizing reliability evaluation. According to the method, the traditional reliability evaluation method is improved from time and precision, the calculation time is shortened, and the system reliability is quickly and effectively estimated.

Description

technical field [0001] The invention belongs to a system reliability extraction method in the field of comprehensive energy systems, and particularly relates to a fast multi-state reliability evaluation method for a comprehensive energy system considering multi-energy coupling and conversion. Background technique [0002] Integrated energy system refers to the use of advanced physical information technology and innovative management mode in a certain area to integrate coal, oil, natural gas, electric energy, thermal energy and other energy sources in a certain area to achieve coordinated planning, coordination and planning among various heterogeneous energy subsystems. Optimal operation, collaborative management, interactive response and mutual assistance. While meeting the diversified energy demand in the system, it is necessary to effectively improve the efficiency of energy utilization and promote the sustainable development of energy as a new integrated energy system. ...

AI Technical Summary

Problems solved by technology

[0010] Disadvantage 1 of the existing technology: traditional reliability calculation algorithms mainly focus on power system reliability analysis, but with the introduction of multiple coupled energy sources, power system reliability analysis that can only evaluate electric energy is no longer suitable for comprehensive Energy System Reliability Analysis

[0011] Disadvantage 2 of the existing technology: traditional reliability calculation algorithms mainly focus on power system reliability analysis, but with the complexity of the conversion process of multiple coupled energy sources, power system reliability analysis that can only evaluate electric energy is no longer applicable Integrated Energy System Reliability Analysis for Energy Conversion Process

[0012] Disadvantage 3 of the existing technology: the existing technology regards the operation of the integrated energy system as two states, that is, complete failure or perfect operation, and does not consider the intermediate state of the operation of the integrated energy system. Insufficient, so that the obtained reliability model cannot accurately reflect the reliability of the integrated energy system

[0013] Disadvantage 4 of the existing technology: When calculating the reliability of an integrated energy system in the prior art, it is often faced with the problem that the scale of the system is enlarged and the reliability calculation time is also increased sharply, thereby reducing the practicability of the reliability assessment, and accurate reliability assessment is often incompatible with Fast calculations cannot simultaneously satisfy

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