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A credible collaborative optimization method and simulation platform for an integrated energy system

An integrated energy system and collaborative optimization technology, applied in the field of trusted collaborative optimization methods and simulation platforms for integrated energy systems, can solve problems such as inability to establish trust, and achieve the effects of high reliability, strong consistency, and high fault tolerance

Active Publication Date: 2022-07-08
SHANGHAI JIAOTONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The invention solves the problem that trust cannot be established among the subjects participating in the collaborative optimization of the integrated energy system under the leaderless center, and proposes a set of trusted collaborative optimization technology with high security, high fault tolerance and strong consistency characteristics. The simulation platform based on the python language can be used to demonstrate the detailed process of the technology in practical application

Method used

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  • A credible collaborative optimization method and simulation platform for an integrated energy system
  • A credible collaborative optimization method and simulation platform for an integrated energy system
  • A credible collaborative optimization method and simulation platform for an integrated energy system

Examples

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no. 1 example

[0040] like figure 1 As shown, this embodiment provides a credible collaborative optimization method for an integrated energy system, which is characterized in that it includes the following steps:

[0041] S1: Based on the decomposition coordination algorithm, the optimization problem of the integrated energy system is decomposed into the lower-level sub-optimization problem of several microgrids and the upper-level coordination problem of the representatives, and all the microgrids and the representatives are initialized.

[0042] The optimization problem of the integrated energy system is specifically as follows: the goal is to minimize the total operating cost of the integrated energy system, and the constraints include the system energy supply balance equation constraint considering external energy input, the equipment operating characteristic equation constraint in the system, and the system. Internal device input and output upper and lower bound inequality constraints; ...

no. 2 example

[0053] like Figure 4 As shown, this embodiment provides a simulation platform for executing the trusted collaborative optimization method for an integrated energy system in the first embodiment, including:

[0054] The simulation platform adopts the network system of the multi-node Internet as the infrastructure;

[0055] Among them, each node includes modules including configuration file, scene layer, asynchronous / synchronous adapter, pipeline management layer, node authentication layer, node management layer, communication access and decoding layer, and the modules are called each other according to the node workflow. Jointly realize operations including message signature, signature verification, calculation, and blackout in the trusted collaborative optimization method.

[0056] The configuration file is specifically: provided to each node to store parameters for participating in the collaborative optimization, wherein the parameters for participating in the collaborative...

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Abstract

The invention relates to the technical field of integrated energy system scheduling, and provides a credible collaborative optimization method and a simulation platform for an integrated energy system. Based on the decomposition coordination algorithm, the integrated energy system optimization problem can be decomposed into the lower-level sub-optimization problem of several microgrids and the representative upper-level coordination problem. After initialization, the microgrid calculates its own optimal energy supply and demand according to the Lagrangian multiplier in the current system and broadcasts it to the representatives. The representative reaches a consensus on the supply and demand of each microgrid and calculates the new Lagrangian multiplier and then broadcasts it to the representatives. Broadcast to the micro-grid, and iterate as above until the energy price converges, and then the optimal solution of the original optimization problem is obtained. The invention can solve the problem that trust cannot be established among the subjects participating in the collaborative optimization of the integrated energy system without a leadership center. The proposed trusted collaborative optimization technology has the characteristics of high security, high fault tolerance and strong consistency. The platform has the advantages of testability, high reliability, and high scalability with pluggable modules.

Description

technical field [0001] The invention relates to the technical field of integrated energy system scheduling, and in particular to the technical field of trusted collaborative optimization of integrated energy systems based on blockchain in the scenario of no leadership center. Specifically, it is a credible collaborative optimization method and a simulation platform for an integrated energy system. Background technique [0002] In the absence of a leadership center, the system optimization of the integrated energy system needs to be based on distributed optimization algorithms. However, existing researches focus on finding the optimal solution from a mathematical point of view, ignoring the possibility that some participants do not follow the distributed optimization algorithm process. The malicious participants in the above can publish false data, so that the final result is not the overall optimal solution of the system, and then gain excess economic benefits for themselve...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/18G06F30/20G06Q10/04G06Q10/06G06F21/64G06F111/04G06F113/14
CPCG06F30/18G06F30/20G06Q10/04G06Q10/0631G06F21/64G06F2111/04G06F2113/14Y04S10/50
Inventor 陈思捷沈泽宇张玲严正胡经纬
Owner SHANGHAI JIAOTONG UNIV
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