Efficient maximum power real-time tracking method for photovoltaic power generation system

Abstract

The invention provides an efficient maximum power real-time tracking method for a photovoltaic power generation system, and particularly relates to a maximum power point real-time tracking control method based on a new ant colony algorithm and a variable step size type conductance increment method. The method comprises the following steps: 1) tracking near a maximum power point by using a novel ant colony algorithm based on an updating solution; selecting an optimal solution through the movement of ants, and recording a corresponding optimal voltage value and power; 2) determining whether themaximum distance between ant colonies is less than 0.02 Uoc as a threshold of algorithm iteration and determining whether to call a variable step size conductance increment method; and 3) carrying outperiodic test according to the relational expression shown in the description, judging whether the external environment is suddenly changed or not, if not, initializing algorithm parameters and carrying out search again, and otherwise, outputting the voltage Umax and the corresponding maximum power Pmax.

Description

technical field [0001] The invention relates to the technical field of photovoltaic power generation control, in particular to a control method for real-time tracking of the Maximum Power Point (MPP) based on a novel ant colony algorithm and a variable-step conductance incremental method. Background technique [0002] With the rapid consumption of fossil energy and the gradual aggravation of environmental pollution, the concept of sustainable development has gradually gained popularity. Solar energy, as a clean and renewable energy with huge reserves, has been paid more and more attention by people. The photovoltaic system directly converts the light energy radiated by the sun into electrical energy for human use through its internal photovoltaic cells. As an important part of the system, the output voltage and output current curves of photovoltaic cells have obvious nonlinear characteristics. How to absorb as much solar energy as possible in real time in a complex environm...

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Problems solved by technology

[0004] The new ant colony algorithm uses the solution to guide the ants to choose the best path, replaces the pheromone in the traditional ant colony with the solution in the solution, and replaces the update of the pheromone with the update strategy of random search, which saves calculation time , which overcomes the disadvantage of possibly converging to the local optimal value, and has a strong global search ability, but the search accuracy may not be guaranteed; the conventional incremental conductance method generally uses a fixed step size method to track the maximum power point, but this The tracking speed and accuracy of the conductance incremental method are very important to the selection of the step size. If the step size is too small, although the system can have a good steady-state accuracy, the dynamic response of the system will become slower on the contrary; Large, the dynamic response of the system is relatively fast, but the steady-state accuracy of the system may be relatively large

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