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A dynamic probabilistic energy flow analysis method considering the uncertainty of integrated demand response

A technology with uncertainty and system dynamics, applied in computing, data processing applications, instruments, etc., can solve problems such as difficulty in obtaining accurate information on user preferences and substitution intentions

Active Publication Date: 2019-01-25
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, in actual engineering, because IES operators are limited by measurement methods, it is often difficult to obtain accurate information on users’ preferences for different types of energy use and substitution willingness in many cases. Analysis of the operating status of the

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  • A dynamic probabilistic energy flow analysis method considering the uncertainty of integrated demand response
  • A dynamic probabilistic energy flow analysis method considering the uncertainty of integrated demand response
  • A dynamic probabilistic energy flow analysis method considering the uncertainty of integrated demand response

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Embodiment Construction

[0047] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0048] figure 1 is a block diagram of an example computing device 100 . In a basic configuration 102 , computing device 100 typically includes system memory 106 and one or more processors 104 . A memory bus 108 may be used for communication between the processor 104 and the system memory 106 .

[0049] Depending on the desired configuration, processor 104 may be any type of processing including, but not limited to, a microprocess...

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Abstract

The invention discloses a dynamic probabilistic energy flow analysis method considering the uncertainty of integrated demand response and a computing device. The method includes: based on the characteristics of a power-air interconnected system, establishing a source-side model for dynamic probabilistic energy flow analysis, based on the source network side model and combined with the characteristics of the terminal energy load, constructing an integrated demand side response model, the integrated demand side response model including a plurality of traditional probabilistic variables and uncertain variables, performing consistent processing on each uncertain variable in the integrated demand side response model to update the integrated demand side response model, determining an optimal dynamic electricity price, and updating the updated comprehensive demand side response model again according to the actual response quantity distribution of various loads under the optimal dynamic electricity price; solving the re-updated comprehensive demand side response model to calculate the dynamic probabilistic energy flow in the power-gas interconnected system.

Description

technical field [0001] The invention relates to the field of energy and electric power, in particular to a system dynamic probabilistic energy flow analysis method and computing equipment taking into account the uncertainty of comprehensive demand response. Background technique [0002] Improving the efficiency of terminal energy consumption and promoting the large-scale utilization of clean energy are important goals for the development of future energy and power systems. The integrated energy system (IES) provides an effective solution for the realization of the above goals by coupling different energy forms with the help of new conversion equipment (such as power-to-gas, etc.), and using a unified operation scheduling platform to coordinate and manage them. Among the IES, the interconnected electricity-gas energy system (IEGES) is the most widely used. [0003] However, unlike the traditional power system, the interconnection and integration of multiple energy carriers u...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06Q50/06
CPCG06Q30/0283G06Q50/06
Inventor 曾博胡强刘裕卫璇刘文霞
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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