Power flow optimization method for electric power system based on subarea division and class extension variable relaxation

A power system and power grid partitioning technology, applied in the direction of electrical components, circuit devices, AC network circuits, etc., can solve problems such as unsatisfactory solution space, achieve the effects of improving convergence, expanding solution space, and small scale

Inactive Publication Date: 2016-08-10
CHINA ELECTRIC POWER RES INST +2
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Problems solved by technology

[0004] The nonlinear interior point method has good convergence and fast calculation speed, and has become a powerful tool for solving power system optimization problems, but its solution space is not satisfactory

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  • Power flow optimization method for electric power system based on subarea division and class extension variable relaxation
  • Power flow optimization method for electric power system based on subarea division and class extension variable relaxation
  • Power flow optimization method for electric power system based on subarea division and class extension variable relaxation

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Embodiment Construction

[0060] The present invention will be described in detail below in conjunction with the accompanying drawings. The description in this part is only exemplary and explanatory, and should not have any limiting effect on the protection scope of the present invention.

[0061] Such as figure 1 As shown, the present invention provides a power system power flow optimization method based on power grid partitioning and class expansion variable relaxation, including the following steps:

[0062] Step 1. Decompose the power system to obtain multiple independent subsystems;

[0063] Step 2. Coordinating various subsystems to obtain a power system decomposition and coordination model based on grid partitioning;

[0064] Step 3. Using the auxiliary problem principle to perform distributed parallel optimal power flow calculation on the power system decomposition and coordination model;

[0065] Step 4. Use the class-extended variable interior point method to solve each subsystem separately...

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Abstract

The invention discloses a power flow optimization method for an electric power system based on subarea division and class extension variable relaxation. The method comprises the following steps of decomposing the electric power system to obtain a plurality of subsystems which are mutually independent; coordinating the subsystems to obtain a decomposition coordination model of the electric power system based on subarea division; adopting an auxiliary problem principle to carry out distributed parallel optimal power flow computation on the decomposition coordination model of the electric power system; and adopting a class extension variable interior point method to solve the subsystems respectively to obtain an optimal solution of power flow of the electric power system. The method conforms to the characteristics of scattered data and structural distribution of the large-scale interconnected electric power systems; the dimensionality of the subsystems is effectively reduced; the optimal computation of each subarea only needs data and boundary node data of the area and does not need a detailed mathematic model outside the area, so that the bottleneck of data transmission is avoided and the optimization speed is accelerated; through the class extension variable interior point method adopted by a subsystem optimization problem, a solution space of the optimization problem is expanded and the convergence is improved.

Description

technical field [0001] The invention relates to the technical field of power system optimization, in particular to a power system power flow optimization method based on grid partition and class extension variable relaxation. Background technique [0002] The basic idea of ​​the decomposition and coordination parallel optimization algorithm based on power grid partition is to try to effectively decompose the large system optimization problem into a series of sub-problems, and perform distributed solution and coordinated optimization. It was first applied to daily power generation plan optimization and distributed optimal power flow calculation. middle. The solution is mainly based on three considerations: ①Reserve the independence of each area to calculate the overall optimization problem; ②Solve the optimal power flow problem in a distributed or parallel manner to improve the calculation speed; ③Enable regional dispatchers to coordinate scheduling grid without knowing the ...

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Application Information

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IPC IPC(8): H02J3/00H02J3/06
CPCH02J3/00H02J3/06H02J2203/20
Inventor 文晶丁平安宁汤涌王毅李芳陈兴雷黄彦浩杨小煜蔡靖孙璐何蕾李木一李文臣赵敏徐希望
Owner CHINA ELECTRIC POWER RES INST
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