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Reactive power interval optimization method based on genetic algorithm

A genetic algorithm and optimization method technology, applied in reactive power compensation, reactive power adjustment/elimination/compensation, AC network circuits, etc., can solve the problems that convergence cannot be guaranteed, calculation time is long, and engineering practicality cannot be realized.

Active Publication Date: 2017-07-21
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

However, if affine arithmetic is not used, its convergence cannot be guaranteed, and the calculation time is too long to achieve real engineering practicality.

Method used

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  • Reactive power interval optimization method based on genetic algorithm
  • Reactive power interval optimization method based on genetic algorithm
  • Reactive power interval optimization method based on genetic algorithm

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Experimental program
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Embodiment

[0060] The modified IEEE14 node system is used for testing. The system has 17 transmission lines, 3 transformers, 1 reactive power compensation point, 5 generator sets (No. 1 is the balance unit), and 9 load nodes. Assuming that the active output and load of all generators have a fluctuation range of ±20%, the calculation of the parameters adopts the standard unit system, and the reference power is 100M V·A. For the convenience of drawing, we renumbered the nodes of the system. Among them, No. 1 is the balance node, No. 2-5 is the ordinary generator node, and No. 6-30 load nodes. The original order of the nodes of the same type remains unchanged .

[0061] The algorithm steps of the power flow calculation in the Cartesian coordinate interval are described in detail below:

[0062] The first step is to read the system node data (here, IEEE14 node data), including generator, load, line, transformer and ground capacitance parameters. The admittance matrix is ​​formed by branch ...

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Abstract

The invention discloses a reactive power interval optimization method based on a genetic algorithm. The method comprises steps that step 1, a reactive power interval optimization model is established; step 2, variables of the reactive power interval optimization model are classified into control variables and state variables; step 3, the reactive power interval optimization model is solved through employing the genetic algorithm, an interval of the state variables is acquired through utilizing an interval power flow algorithm based on affine arithmetic in a solution process to determine whether the present state variable satisfies constraint conditions, the interval power flow algorithm is employed to calculate a center point value of a network loss interval, and the center point value is used for ordering and screening control strategies with relatively good economic performance; and step 4, a result is outputted. The method is advantaged in that good convergence property is realized, and the acquired reactive power voltage control strategies can be guaranteed to completely satisfy power grid operation safety constraints.

Description

technical field [0001] The present invention relates to a technology for solving uncertain reactive power optimization problems in power systems, and in particular to an interval reactive power optimization method based on genetic algorithms. When the method involves solving reactive power optimization problems with uncertain parameters, uncertain The characteristic parameters are expressed as intervals, and the optimal solution that truly satisfies the constraints of the uncertain reactive power optimization problem is sought through the genetic algorithm and the interval power flow algorithm based on affine arithmetic. Background technique [0002] There are many uncertain factors in the power system, including frequently fluctuating loads, output of new energy units, and measurement errors of network parameters. These uncertain factors cannot be avoided in the actual power grid, and deterministic reactive power optimization generally only considers a certain scenario in t...

Claims

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Application Information

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IPC IPC(8): H02J3/18
CPCH02J3/18H02J2203/20Y02E40/30
Inventor 张聪陈皓勇
Owner SOUTH CHINA UNIV OF TECH
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