Calculation Method of Probabilistic Energy Flow in Electro-Gas Integrated Energy System Based on Maximum Entropy Principle

A technology for comprehensive energy system and energy flow calculation, applied in the field of power system, which can solve problems such as negative probability density

Inactive Publication Date: 2018-12-21
NORTHEAST DIANLI UNIVERSITY
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0008] The present invention provides a method for calculating the probabilistic energy flow of the electric-gas integrated energy system based on the principle of maximum entropy. The present invention can effectively solve the probabilistic energy flow of the electric-natural gas integrated energy system, and can overcome the time-consuming calculation of the Monte Carlo method and the Gram –The probability density obtained by the Charlier series method may have a negative value, see the following description for details:

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  • Calculation Method of Probabilistic Energy Flow in Electro-Gas Integrated Energy System Based on Maximum Entropy Principle
  • Calculation Method of Probabilistic Energy Flow in Electro-Gas Integrated Energy System Based on Maximum Entropy Principle
  • Calculation Method of Probabilistic Energy Flow in Electro-Gas Integrated Energy System Based on Maximum Entropy Principle

Examples

Experimental program
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Effect test

Embodiment 1

[0035] A probabilistic energy flow calculation method for electric-gas integrated energy systems based on the principle of maximum entropy, see figure 1 , the calculation method includes the following steps:

[0036] 101: Based on the network parameters of the electricity-natural gas integrated energy system, the probability distribution characteristics of wind power, electricity, and natural gas loads (that is, the input uncertainty, which can be random wind power and loads, etc., the embodiment of the present invention does not limit this) , to calculate the central moment of each order of wind power and electric power, and the central moment of each order of natural gas load;

[0037] Among them, according to the above-mentioned parameters and probability distribution characteristics, the steps of calculating the central moment of each order of wind power and electric power, and the central moment of each order of natural gas load (that is, the central moment of uncertainty...

Embodiment 2

[0051] The scheme in embodiment 1 is described in detail below in conjunction with specific calculation formulas and examples, see the following description for details:

[0052] 201: First, take the solution of the steady-state energy flow of the power system as an example. The steady-state energy flow equations of the power system are a set of nonlinear equations. After linearizing the equations, the Newton-Raphson method can be used for iterative solution;

[0053] Among them, the iterative form of Newton's method is:

[0054] ΔW=JΔX (1)

[0055] In the formula, ΔW is the unbalanced quantity of the input quantity, J is the Jacobian matrix, and ΔX is the unbalanced quantity of the state quantity.

[0056] 202: When considering the uncertainty of wind power and different energy loads, the operating state of the power system will fluctuate in a small range near the reference operating point. Under the condition of error tolerance, the linearized energy flow model can be used ...

Embodiment 3

[0086] Combined with the following specific tests, figure 2 with image 3 To verify the feasibility of the scheme in Examples 1 and 2, see the following description for details:

[0087] Taking the comprehensive energy test system composed of the IEEE-118 node power system and the Belgian 20 node natural gas system as an example, the feasibility of the methods in Examples 1 and 2 is verified.

[0088] The Monte Carlo method is used to simulate 10,000 times, and the calculation results obtained are compared with this method. The probability density of certain node state variables and branch energy flows in the power-natural gas integrated energy system obtained by the Monte Carlo method and this method The distribution function comparison results are as follows figure 2 shown.

[0089] The maximum entropy principle method proposed in the embodiment of the present invention and the Monte Carlo method calculate the power system node voltage and branch power flow as follows: ...

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Abstract

The invention discloses an electric power supply system based on the maximum entropy principle. A method for calculating probabilistic energy flow of a gas integrated energy system comprise the stepsof: solving electric power; obtaining steady state energy flow of natural gas integrated energy system, node voltage, branch power, node pressure of natural gas system and pipeline flow correspondingto the reference operating point, and calculating the reference sensitivity matrix of electric power system and natural gas system. The central moments of each order are transformed into semi-invariants of each order, and the electric power is considered simultaneously. Coupling relationship between natural gas; According to the product of the semi-invariant and the sensitivity matrix, it is transformed into the semi-invariant of the node voltage, the branch power, the node pressure of the natural gas system and the disturbance part of the pipeline flow rate, and then transformed into the final central moments of each order. Based on the final order center moments and the maximum entropy model, the probabilistic energy flow results for electricity-natural gas integrated energy systems. Theinvention can effectively solve the problem of electric power. Probabilistic Energy Flow of Natural Gas Integrated Energy System.

Description

technical field [0001] The invention relates to the field of power systems, in particular to a method for calculating the probabilistic energy flow of an electric-gas comprehensive energy system based on the principle of maximum entropy. Background technique [0002] In recent years, the proportion of natural gas power generation in the power system has been increasing due to its good economy, rapid adjustment ability and low pollution emission characteristics. The rapid increase in the number of gas-fired units installed has deepened the coupling between the power system and the natural gas system. It is necessary to carry out research on its operation status, safety and economy from the perspective of the power-natural gas integrated energy system. [0003] At present, relevant research work has been carried out on the power-natural gas interconnected integrated energy system at home and abroad, but it is mainly focused on using its complementary characteristics to coordin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/367
Inventor 张儒峰姜涛李国庆陈厚合李雪李晓辉宁若汐张嵩
Owner NORTHEAST DIANLI UNIVERSITY
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