Peak regulation controller and method for large-scale energy storage power station based on ANFIS short-term load forecast

Abstract

The invention discloses a peak regulation controller and method for a large-scale energy storage power station based on ANFIS short-term load forecast, and the controller comprises a peak regulation main station module and an energy storage substation module connected with the peak regulation main station module. The peak regulation main station module comprises a floating-point calculation processor, an FPGA processor, a CAN communication interface, a power module, a display module, an RAM storage unit, a scheduling network port, and a key. The floating-point calculation processor is connected with the FPGA processor, and the CAN communication interface and the key are connected with the floating-point calculation processor. The power module is connected with the floating-point calculation processor and the FPGA processor. The display module, the RAM storage unit and the scheduling network port are connected to the FPGA processor. The controller can estimate the comprehensive charge level of an energy storage power station in real time, achieves the prediction of a regional grid load, achieves the coordinative control of the charging and discharging power of a plurality of groups of energy storage batteries in the power station, gives full play to the quick and flexible power throughput capability of the large-scale energy storage power station, participates in the peak-load shifting of a power grid, and effectively alleviates the peak-load shifting pressure. Meanwhile, the controller optimizes the charge level of the energy storage batteries, avoids the overcharge and overdischarge faults, and prolongs the service life of the batteries.

Description

Technical field: [0001] The invention relates to a peak-shaving controller of a large-scale energy storage power station based on ANFIS short-term load forecasting and a control method thereof. Background technique [0002] Due to environmental pressure, the installed capacity of intermittent and fluctuating new energy generation such as photovoltaics and wind power has continued to expand in recent years, and the power grid is facing unprecedented pressure for peak regulation. In order to ensure the balance of power supply and demand and improve the stability and reliability of power supply, more effective peak regulation measures must be taken. Traditional peak shaving generally adopts thermal power peak shaving and hydropower peak shaving, etc. These supply-side adjustments are costly and difficult to implement. Large-scale battery energy storage systems can achieve fast and flexible power throughput, which can meet the needs of power grid peak shaving and valley filling....

AI Technical Summary

Problems solved by technology

Traditional peak shaving generally adopts thermal power peak shaving and hydropower peak shaving, etc. These supply-side adjustments are costly and difficult to implement. Large-scale battery energy storage systems can achieve fast and flexible power throughput, which can meet the needs of power grid peak shaving and valley filling. Effectively relieve peak pressure

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