UPFC coordinative control method based on multi-objective particle swarm optimization algorithm

A multi-objective particle swarm and optimization algorithm technology, applied in the field of power system

Inactive Publication Date: 2017-02-01
NANJING INST OF TECH
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Problems solved by technology

However, many complex problems in practice are often difficult to describe with a single objective. Therefore, the multi-objective particle swarm optimization algorithm based on the PSO algorithm to solve multi-objective problems has begun to attract the attention of researchers.

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  • UPFC coordinative control method based on multi-objective particle swarm optimization algorithm
  • UPFC coordinative control method based on multi-objective particle swarm optimization algorithm
  • UPFC coordinative control method based on multi-objective particle swarm optimization algorithm

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Embodiment 1

[0079] right figure 2 As shown in the power system with UPFC, the MOPSO algorithm is used to optimize the 6 control parameters of UPFC, and the population size is 200, the maximum optimization number is 50, the learning factor is 2.0, and the inertia constant is 0.8.

[0080] In order to verify the effectiveness of the MOPSO algorithm, the multi-objective evolutionary algorithm (MOEA) is selected for comparative analysis. The crossover rate and mutation rate of MOEA were chosen to be 0.7 and 0.01, respectively. In the same objective function and grid system, both algorithms are set to solve 200 Pareto solution sets and iterate 50 times.

[0081] Figure 4 Convergence performance curves of MOPSO and MOEA. Comparing the two figures, it can be seen that the MOPSO algorithm has a fast convergence speed, and the progress ratio is closer to 0 after several generations of optimization, indicating that the population can better converge to the boundary of the global optimal Pareto...

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Abstract

The invention discloses a UPFC coordinative control method based on a multi-objective particle swarm optimization algorithm. The UPFC coordinative control method, for eliminating a negative reciprocal effect among multiple controllers of the UPFC, a coordination problem among multiple functional controllers of the UPFC is converted into a multi-objective optimization problem. The UPFC coordinative control method specifically comprises the steps of 1, establishing a circuit model of an electric power system containing the UPFC; 2, establishing a model of the multiple UPFC controllers; 3, performing multi-objective optimization design on the multiple UPFC controllers; and 4, designing a UPFC coordinative controller based on the multi-objective particle swarm optimization algorithm, and controlling the electric power system containing the UPFC by the UPFC coordinative controller. By adoption of the coordinative control method provided by the invention, a Pareto solution set which is rapidly converged and well distributed is obtained, so that the negative reciprocal effect among the controllers is effectively eliminated, and a satisfactory control performance is achieved.

Description

technical field [0001] The invention belongs to the technical field of power systems, and in particular relates to a UPFC coordination control method based on a multi-objective particle swarm optimization algorithm. Background technique [0002] Unified Power Flow Controller (UPFC) is a new generation of flexible AC power transmission device, which integrates various control functions. In addition to the basic power flow control and voltage control functions, the UPFC stability controller can also improve the transient stability of the power system. However, research results have shown that when the UPFC system is designed as a single-input single-output (SISO) system, even if each controller can be successfully designed independently, the stability of the closed-loop system cannot be guaranteed. Therefore, it is very necessary to find a suitable controller design method to coordinate the negative interaction among multiple control functions of UPFC. There are many methods...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00H02J3/06G06F17/50G06Q50/06
CPCG06F30/367G06Q50/06H02J3/00H02J3/06H02J2203/20Y02E60/00
Inventor 王蒙陆文涛马寿虎顾佳易陆文伟
Owner NANJING INST OF TECH
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