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Reactive power optimization method for power distribution network based on improved NAGA-II algorithm

A NAGA-II, optimization method technology, applied in reactive power compensation, reactive power adjustment/elimination/compensation, genetic law, etc., can solve problems such as slow convergence speed, and achieve the effect of good stability and high calculation accuracy

Pending Publication Date: 2021-03-19
FOSHAN POWER SUPPLY BUREAU GUANGDONG POWER GRID
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  • Application Information

AI Technical Summary

Problems solved by technology

However, the original NAGA-II evolutionary algorithm is prone to fall into the problem of local optimum and slow convergence.

Method used

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  • Reactive power optimization method for power distribution network based on improved NAGA-II algorithm
  • Reactive power optimization method for power distribution network based on improved NAGA-II algorithm
  • Reactive power optimization method for power distribution network based on improved NAGA-II algorithm

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Embodiment 1

[0048] This embodiment provides a reactive power optimization method for a distribution network based on an improved NAGA-II algorithm. Such as figure 1 As shown, the method includes the following steps:

[0049] S1: Determine the optimization objective, and establish the objective function for reactive power optimization of the power system;

[0050] S2: Determine the number of control variables and constraints according to the upper and lower limit requirements of the reactive power compensation device in the power system;

[0051] S3: Initialize the control parameters of the improved NSGA-II algorithm, introduce the concept of qubits in quantum computing for encoding, and generate the initial parent population;

[0052] S4: Perform crossover and mutation operations on the individuals of the parent population, use the quantum revolving door adjustment strategy to update, generate new individuals to generate a test population, and calculate the objective function value and ...

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Abstract

The invention relates to a power distribution network reactive power optimization method based on an improved NAGAII algorithm, and the method comprises the steps: S1, determining an optimization target, and building a target function; S2, determining the number of control variables and constraint conditions; S3, initializing control parameters of the improved NSGAII algorithm, and generating an initial parent population; S4, performing genetic operation on the parent population individuals, performing updating, generating new individuals to generate a test population, and calculating target function values and overall constraint violation degrees of the test population individuals; S5, enabling individuals in the parent population and the test population to compete to generate a temporarypopulation; S6, performing non-dominated solution sorting and congestion distance sorting on individuals in the temporary population, and selecting a new parent population; S7, judging whether the number of iterations is greater than the maximum number of iterations or not, if so, stopping iteration, and outputting a reactive power optimization result; and if not, returning to S4. According to the method, the problems that the original NAGAII algorithm is easy to fall into local optimum and the convergence speed is low are effectively solved.

Description

technical field [0001] The invention relates to the technical field of reactive power optimization control of electric power systems, and more specifically, to a reactive power optimization method for distribution networks based on the improved NAGA-II algorithm. Background technique [0002] Distribution network is an important part of power distribution in power system. The traditional reactive power optimization of distribution network is a multi-constraint, nonlinear and offline complex optimization problem, which involves the adjustment of node voltage, the adjustment of transformer taps, the configuration of reactive power compensation devices, etc., when the variables satisfy the equation constraints and Based on the inequality constraints, the network loss of the system is minimized. With the development of the economy and society, the user's requirements for the power quality of the distribution network are constantly increasing. The objective function of reactive ...

Claims

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Application Information

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IPC IPC(8): H02J3/18G06N3/12
CPCH02J3/18G06N3/126Y02E40/30
Inventor 金尚婷
Owner FOSHAN POWER SUPPLY BUREAU GUANGDONG POWER GRID
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