Operation and monitoring method for battery energy storage power station based on power prediction

Abstract

The invention discloses an operation and monitoring method for a battery energy storage power station based on power prediction. The operation and monitoring method comprises the following steps: 1, acquiring operation data of photovoltaic power generation equipment in real time through a photovoltaic power generation equipment monitoring module, and storing data; 2, according to the operation data of the photovoltaic power generation equipment, predicting output power of the photovoltaic power generation equipment within a future reserved moment, and predicting inactive power of an SVG module which can be output; 3, detecting and acquiring SOC of a storage battery module in real time, and acquiring the use situation of load power of a power station in real time; 4, acquiring parameters and scheduling information of a large power grid in real time, and predicting power demands of a connecting point of the energy storage power station and a large power grid in real time; 5, by taking the power demands of the connecting point of the energy storage power station and the large power grid, the SOC of present stored energy of a storage battery, the load power demands of the energy storage power station, the future output power of photovoltaic power generation equipment, and exportable inactive power of the SVG module as constraint conditions, achieving optimal control on a battery energy storage system.

Description

Technical field [0001] The invention relates to an operation and monitoring method of a battery energy storage power station based on power prediction. Background technique [0002] As a supplement to the ultra-high voltage, long-distance, and large-grid power supply mode, the micro-grid represents a new development direction of the power system. When the microgrid with distributed energy sources runs in parallel with the large grid, the load inside the microgrid is jointly provided by the distributed energy sources in the microgrid and the large grid. When the distributed energy output is greater than the load in the microgrid, the microgrid sends power to the large grid, and when the distributed energy output is smaller than the load in the microgrid, the microgrid absorbs power from the large grid. Due to the volatility of the load, as well as the inherent intermittency and volatility of distributed energy sources, the power fluctuation range at the public connection poi...

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Problems solved by technology

[0005] However, the cost of energy storage is relatively high. Considering the economic cost of microgrid operation, the

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