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MPPT method based on combination of improved particle swarm optimization algorithm and fuzzy algorithm

A technology for improving particle swarm and fuzzy algorithm, applied in the field of MPPT, it can solve problems such as high-power oscillation, and achieve the effect of improving stability

Active Publication Date: 2019-07-26
XIAN TECHNOLOGICAL UNIV
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Problems solved by technology

The standard particle swarm optimization algorithm has better performance in the global optimization problem, but there is a large power oscillation near the maximum power point

Method used

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  • MPPT method based on combination of improved particle swarm optimization algorithm and fuzzy algorithm
  • MPPT method based on combination of improved particle swarm optimization algorithm and fuzzy algorithm
  • MPPT method based on combination of improved particle swarm optimization algorithm and fuzzy algorithm

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specific Embodiment approach

[0048] The specific process of improving the particle swarm optimization algorithm to realize MPPT is as follows:

[0049] Step (1), before the algorithm starts, first initialize all N particles, including the initial voltage of all particles and initial velocity

[0050] Step (2), calculate the voltage of particle i at time k The output power under;

[0051] Step (3), the output power of particle i at time k Compare with the fitness at all previous moments If the position of the particle is better, update the individual extremum value, denoted as

[0052] Step (4), compare the fitness of particle i and particle j with the highest output power at this time; if the output power of particle i is lower than that of particle j at this time, according to the formula with Update the position at the next moment; if the fitness of the particle is the best among all the particles at the current moment, update the position at the next moment according to the fuzzy algori...

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Abstract

The invention discloses a maximum power point tracking (MPPT) method based on combination of an improved particle swarm optimization algorithm and a fuzzy algorithm. The method comprises the specificsteps that first, a standard particle swarm optimization algorithm is improved; on the basis of the standard particle swarm optimization algorithm, an extreme value tracking mode is changed, so that particles no longer track a global extreme value, and instead the position of the optimal particle at the current moment is tracked; and the optimal particle is made to find a maximum power point according to the fuzzy algorithm, so that the improved particle swarm optimization algorithm and the fuzzy algorithm are combined. Through the method, search of the global maximum power point is realized,oscillation of the particle at the maximum power point is effectively reduced, and the tracking precision of the maximum power point is improved.

Description

technical field [0001] The invention belongs to the technical field of photovoltaic power generation, and in particular relates to an MPPT method based on the combination of an improved particle swarm algorithm and a fuzzy algorithm. Background technique [0002] The output characteristics of photovoltaic arrays have nonlinear characteristics, and their output characteristics are greatly affected by environmental conditions such as light, temperature and load. Under certain lighting and temperature conditions, there is a unique voltage. When the system works at this voltage, its output power is the largest, and this voltage is called the maximum power point voltage under this condition. In order to improve the output power and efficiency of the system, it is necessary to track the maximum power point voltage under different environmental conditions. Traditional maximum power point voltage tracking techniques include perturbation and observation (P&O), incremental conductanc...

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Application Information

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IPC IPC(8): G05F1/67H02J3/38G06N3/00G06N7/02
CPCG05F1/67G06N3/006G06N7/02H02J3/385Y02E10/56Y02E40/70Y04S10/50
Inventor 陈超波李皓高嵩李进马媛冯秋阳景卓李继超
Owner XIAN TECHNOLOGICAL UNIV
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