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Segmented comprehensive energy system operation optimization method based on genetic algorithm

An integrated energy system and genetic algorithm technology, applied in the field of segmented integrated energy system operation optimization, can solve problems such as a large number of constraints, and the model solution is easy to fall into local optimum.

Active Publication Date: 2020-02-07
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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  • Segmented comprehensive energy system operation optimization method based on genetic algorithm
  • Segmented comprehensive energy system operation optimization method based on genetic algorithm
  • Segmented comprehensive energy system operation optimization method based on genetic algorithm

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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 segmented comprehensive energy system operation optimization method based on a genetic algorithm. Firstly, 24 hours are divided into five time periods according to the segmented electricity price of valley-peak-flat section-peak-flat section, an optimal optimization variable matrix of the five time periods is calculated through a genetic algorithm, then an objective function and a constraint condition of each time period are constructed respectively, and finally, an optimization result of each time period is sequentially refined and calculated through the genetic algorithm. According to the method, the number of model constraint conditions can be reduced as much as possible, optimal configuration of operation among various energy sources of the comprehensive energy system is achieved, and the maximum economic benefit is achieved.

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 Applications(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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