A photovoltaic power generation system based on improved mppt method and battery self-balancing fast charging coupling control

Abstract

The invention discloses a photovoltaic power generation system for implementing coupled control of an improved MPPT (Maximum Power Point Tracking) method and storage battery self-balancing rapid charging, and belongs to the technical field of solar photovoltaic power generation. The system device comprises a solar photovoltaic array, a controller, an inverter, an energy storage battery pack, an array bracket, an alternating current power distributor, a power transmission cable, an electricity load and the like. The controller is respectively connected with the photovoltaic array, the storage battery pack, a direct current load and the inverter, and the output end of the inverter is connected with an alternating current load. The invention discloses a method for implementing maximum power tracking by adaptive variable-step-size successive approximation disturbance observation and coupled control thereof with storage battery constant-voltage current-limiting self-balancing rapid charging, which is applicable to small and medium sized photovoltaic power generation systems and gives consideration to accuracy, a speed and cost, so that not only is accurate MPPT implemented, but also a transient variation of an average charging current output to storage batteries by the photovoltaic system further accords with a current charging state of the storage batteries, a charge level of the storage battery pack can be improved, the case that the storage batteries work in an under-charged state for long time is improved, the total cycle life of the storage batteries is prolonged, and energy utilization efficiency of the photovoltaic power generation system is improved.

Description

technical field [0001] The invention relates to a solar photovoltaic power generation system, in particular to a photovoltaic power generation system coupled with an improved maximum power point tracking method and battery self-balancing fast charging coupling control, belonging to the technical field of solar photovoltaic power generation. [0002] technical background [0003] As an important distributed power technology, photovoltaic power generation has developed rapidly, and the number and capacity of independent or grid-connected photovoltaic power stations are increasing. A photovoltaic power generation system is generally composed of solar cell modules, batteries, controllers, inverters, and electrical loads. The solar cell absorbs the solar radiation energy, converts the solar energy into electrical energy, and provides power for the system. One path passes through the controller for DC loads; the other path passes through the controller and the inverter to convert t...

AI Technical Summary

Problems solved by technology

Existing photovoltaic system power generation estimation methods usually require a lot of actual operating data of local photovoltaic power plants and data information provided by the weather station nearest to the power station location. Most of the parameter calculations are more complicated. The radiation value or monthly radiation data and the photovoltaic power generation system power generation prediction and evaluation model based on BP neural network and gray theory use solar radiation model, multiple environmental factors and self-variables, equatorial coordinate system and other data, and the cost is relatively high. Calculation is slow

As for the proposed photovoltaic power generation system, its installation sites are mostly located on barren hills and slopes far away from the urban area, and there is generally a lack of local authoritative and effective meteorological data and environmental parameters; at the same time, detailed resources for independent household systems and other small power supply systems Data collection is also not cost-effective

Images