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Micro-energy grid comprehensive energy system operation optimization method and system

An integrated energy system and operation optimization technology, applied in the energy field, can solve the problems of reduced operation efficiency of regional integrated energy system, low operation efficiency of regional integrated energy system, inability to consider energy utilization efficiency of integrated energy system, etc.

Active Publication Date: 2021-01-12
CHINA NAT OFFSHORE OIL CORP +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

First of all, the uncertainty and volatility of renewable energy power generation output in the micro-energy grid will affect the operational flexibility of the regional integrated energy system; The overall energy utilization efficiency of the system, resulting in a reduction in the operating efficiency of the regional integrated energy system
Therefore, it is necessary to conduct research on the coordinated decision-making of multiple micro-energy networks to solve the problem of low operating efficiency of the regional integrated energy system caused by the large-scale access of micro-energy networks.

Method used

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  • Micro-energy grid comprehensive energy system operation optimization method and system
  • Micro-energy grid comprehensive energy system operation optimization method and system
  • Micro-energy grid comprehensive energy system operation optimization method and system

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Embodiment 1

[0045] This embodiment discloses a method for optimizing the operation of a micro-energy grid integrated energy system, such as figure 1 shown, including the following steps:

[0046] S1 gets the current state S k , the current state S k Several micro-energy networks are included, and the energy matrix of each micro-energy network is obtained, where k is the number of cycles.

[0047] S2 Substituting the energy matrix into the electric-thermal energy pipeline network model to obtain micro-energy production capacity decisions

[0048] The electric-thermal energy pipeline network model in step S2 includes: thermal subsystem node heat flow balance and pipe section temperature drop model, hydraulic model of heating network, power subsystem node flow balance model and line flow model.

[0049] The thermal subsystem node heat flow balance and pipe temperature drop model are:

[0050]

[0051] in, is the upper augmented incidence matrix; is the lower augmented incidence ...

Embodiment 2

[0087] In order to better illustrate the first embodiment, this embodiment takes a regional integrated energy system as an example for description.

[0088] S1: Get the current state S k , the current state S k Several micro-energy networks are included, and the energy matrix of each micro-energy network is obtained, where k is the number of cycles. The current state includes the topological structure of the regional integrated energy system, integrated energy load forecasting, reinforcement learning algorithm parameter setting, internal operating equipment of the micro energy network, equipment parameters, energy prices in the transmission network and gas distribution network, etc. Among them, the operating parameters of the equipment in the micro energy network are shown in Table 1, and the renewable energy output forecast is as follows figure 2 As shown, the comprehensive energy load forecast is as follows image 3 shown. The electricity price of the transmission grid ...

Embodiment 3

[0118] Based on the same inventive concept, this embodiment discloses an operation optimization system for a micro-energy grid integrated energy system, such as Figure 6 shown, including:

[0119] The state acquisition module is used to obtain the current state S k , the current state S k Including several micro-energy networks, obtaining the energy matrix of each micro-energy network, where k is the number of cycles;

[0120] Electric-thermal energy pipe network module, used to substitute the energy matrix into the electric-thermal energy pipe network model to obtain micro-energy production capacity decisions

[0121] Decision optimization module, used to make micro-energy production capacity decision Substitute into multiple micro-energy network energy supply decision-making optimization models to obtain the updated multi-micro-energy comprehensive production capacity decision, and obtain the updated energy matrix of each micro-energy network according to the multi-mi...

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Abstract

The invention relates to a micro-energy network integrated energy system operation optimization method and system, and the method comprises the steps: obtaining a current state which comprises a plurality of micro-energy networks, and obtaining an energy matrix of each micro-energy network, substituting the energy matrix into an electric-thermal energy pipe network model to obtain a micro-energy productivity decision, substituting the micro-energy productivity decision into a plurality of micro-energy network energy supply decision optimization models to obtain an updated multi-micro-energy comprehensive productivity decision, and obtaining an updated energy matrix of each micro-energy network according to the multi-micro-energy comprehensive productivity decision; and judging whether theupdated energy matrix of each micro-energy network is converged or not, and if not, obtaining a state Sk + 1 corresponding to k + 1 cycles through a single micro-energy network capacity decision modeluntil the energy matrix is converged. The invention gives consideration to the capacity optimization demands of a plurality of micro-energy grids and the operation optimization demands of the regional integrated energy system, and improves the energy utilization efficiency of the regional integrated energy system.

Description

technical field [0001] The invention relates to a method and system for optimizing the operation of a micro-energy network comprehensive energy system, belonging to the field of energy technology. Background technique [0002] Energy is the basis for the progress and development of human society. How to efficiently utilize renewable energy while maintaining the sustainable development of human society is an issue that countries all over the world must pay attention to when promoting national progress. The Energy Internet breaks the previous form of independent operation of multiple energy systems, and uses energy coupling components to realize the interaction and complementarity of multiple energy sources. With the development of distributed production capacity technology, the number of micro-energy grids that are the epitome of the Energy Internet is also gradually increasing. [0003] The access of a large number of micro-energy grids will bring significant pressure on the...

Claims

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Application Information

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IPC IPC(8): G06F30/20G06Q10/06G06Q50/06G06F111/06G06F111/04
CPCG06F30/20G06Q10/06315G06Q50/06G06F2111/06G06F2111/04Y04S10/50
Inventor 王雪纯魏澈吴军李强邱银锋陈红坤丁煜蓉李保林
Owner CHINA NAT OFFSHORE OIL CORP
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