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A Genetic Algorithm-Based Operation Optimization Method for Segmented Integrated Energy System

A technology of integrated energy system and genetic algorithm, which is applied in the field of segmented integrated energy system operation optimization, can solve the problems of a large number of constraint conditions, and the model solution is easy to fall into local optimum, so as to improve the stability of convergence and the ability of global optimization , the effect of great economic benefits

Active Publication Date: 2022-04-01
NARI TECH CO LTD
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Problems solved by technology

For the optimization of comprehensive energy operation, due to the need to consider multiple types of power sources, main grid interaction, energy storage and other factors at the same time, the direct use of global modeling requires a large number of constraints to be dealt with, and the model is prone to fall into local optimum when solving

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  • A Genetic Algorithm-Based Operation Optimization Method for Segmented Integrated Energy System
  • A Genetic Algorithm-Based Operation Optimization Method for Segmented Integrated Energy System
  • A Genetic Algorithm-Based Operation Optimization Method for Segmented Integrated Energy System

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Embodiment Construction

[0096]In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application will be described in detail below in conjunction with the accompanying drawings;

[0097] refer to figure 1 , a flow chart of the operation optimization method for the segmented integrated energy system, figure 2 , Genetic algorithm flow chart:

[0098] Step 1: Divide 24 hours into five time periods according to the segmented electricity price of "trough-peak-flat period-peak-flat period", including: period one (from moment 1 to moment T 1 ), period two (from time (T 1 +1) to time T 2 ), period three (from time (T 2 +1) to time T 3 ), period four (from time (T 3 +1) to time T 4 ), period five (from moment (T 4 +1) to time 24);

[0099] Step 2: Construct a five-period running optimization objective function f 1 ,as follows:

[0100]

[0101] Among them, c gas In...

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Abstract

The invention discloses a method for optimizing the operation of a segmented comprehensive energy system based on a genetic algorithm. First, divide 24 hours into five time periods according to the segmented electricity price of "low valley-peak-flat period-peak-flat period", calculate the optimal optimization variable matrix for the five periods by genetic algorithm, and then construct the optimal variable matrix for each period respectively The objective function and constraints, and finally, the genetic algorithm is used to refine and calculate the optimization results of each period in turn. This method can reduce the number of model constraints as much as possible, realize the optimal allocation of multiple energy sources in the integrated energy system, and achieve the greatest economic benefits.

Description

technical field [0001] The invention relates to a method for optimizing the operation of a segmented comprehensive energy system based on a genetic algorithm. Background technique [0002] In order to better cope with a series of challenges such as the gradual depletion of fossil energy and the increasingly prominent environmental pollution problems, it is necessary to integrate multiple energy resources to achieve optimal operation among multiple energy sources, thereby improving energy utilization efficiency. However, compared with the power system, the integrated energy system has the characteristics of high system coupling and rich energy supply methods, which makes it face greater technical challenges in terms of operation optimization. [0003] At present, although there are many related studies on system operation optimization theory, the research on the construction of comprehensive energy operation optimization solution model is still in the exploratory stage. Usual...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/06G06N3/12G06F30/20G06F111/04
CPCG06Q10/04G06Q50/06G06N3/126
Inventor 张筱辰杨志宏杨冬梅陈永华杜炜刘刚傅金洲何国鑫陈卉
Owner NARI TECH CO LTD
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