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Reliability evaluation and optimization method for multi-source complementary urban heat supply network

An optimization method and reliability technology, applied in resources, instruments, data processing applications, etc.

Active Publication Date: 2020-05-15
ZHEJIANG UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, both maintenance and new components require a certain amount of investment. Therefore, while ensuring the reliability of heating, how to obtain the most beneficial recovery strategy is very important for the operation and scheduling of the heating system.

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  • Reliability evaluation and optimization method for multi-source complementary urban heat supply network
  • Reliability evaluation and optimization method for multi-source complementary urban heat supply network
  • Reliability evaluation and optimization method for multi-source complementary urban heat supply network

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Embodiment Construction

[0058] According to the five-step content of the reliability evaluation and optimization method of a multi-source complementary urban heating network, the technical solution of the present invention will be further described in detail with reference to the accompanying drawings, and the specific process of flexible scheduling of the heating system will be given.

[0059] Step S1: Define and calculate the reliability index according to the network topology and the reliability information of each heating network element.

[0060] Consider a standard heating network, including M components: valves, tee, and steam traps, and N heating stations / heat users. Construct the topological structure of the heating network based on graph theory.

[0061] The components of the heating network structure diagram are abstracted into two types of elements, one is valves, tee and steam traps and heating stations / heat users, which are abstracted as "nodes", and the other is to connect two "nodes" Pipeli...

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Abstract

The invention discloses a reliability evaluation and optimization method for a multi-source complementary urban heat supply network, which is used for evaluating and optimizing a recovery strategy after a failure of a heat supply network element. To quantify the reliability, it is understood as an attribute of the heat supply network that allows it to recover from an underheat state (component failure) to a normal operating condition at a standard level, a set of evaluation metrics is defined. Multi-dimensional reliability metrics are considered, including response time elements, element failure rates, recovery elasticity, and the like. Firstly, a heat supply network model is established according to structure parameters of a heat supply network; thermal hydraulic calculation is carried out on the urban heat supply network; a reliability index is provided according to the topological structure of the network and the reliability information of each element; a weight function under a given time scale is calculated on the basis of time sequence Monte Carlo, a recovery elasticity index of the multi-heat-source urban heat supply network is defined, and finally a heat supply network multi-target reliability optimization algorithm is established according to reliability, recovery elasticity and recovery cost for guiding and realizing heat supply network optimization scheduling under amulti-energy complementary background.

Description

Technical field [0001] The invention relates to a reliability evaluation and optimization method in the case of multi-source complementary urban heating network element failure, and belongs to the field of heating network optimization scheduling. Background technique [0002] With the energy transition and the development of new urban energy networks, more and more emphasis has been placed on "multiple source complementation and multi-energy synergy", and is committed to maximizing the overall benefits of urban energy supply. Heating network is an important part of the urban energy network. When faced with major disturbances, its ability to quickly respond to large fluctuations in supply and load is directly related to people's normal life and production activities. Among them, the reliability of the heating network is a comprehensive manifestation of the technical equipment level and management level of the heating enterprise. With the rapid economic development and the continu...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/06393G06Q50/06
Inventor 钟崴陈嘉映林小杰周懿俞自涛
Owner ZHEJIANG UNIV
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