Scheduling method and device for wind farm energy storage system with integrated forecasting and decision-making

Abstract

The present disclosure provides a wind farm energy storage system dispatching method and device integrating prediction and decision-making. Among them, the wind farm energy storage system scheduling method with integrated forecasting and decision-making includes: sample accumulation step: the wind farm status s t Input to the evaluation network, output the Q value of all actions in the action space A and determine the scheduling instruction a of the energy storage system by the ε‑greedy strategy t , after the energy storage system executes the scheduling instruction, calculate the returned reward r t And observe the state of the wind farm in the next period s t+1 , will (s t ,a t ,r t ,s t+1 ) is stored as a sample in the buffer, and the above process is repeated until the number of samples in the buffer reaches the preset upper limit; the Q value iteration step; the network training step; And fluctuate within the range in the preset book, then the evaluation network has converged at this time, and the current scheduling instruction is optimal; otherwise, repeat the above steps until the evaluation network converges, and output the optimal scheduling instruction.

Description

technical field [0001] The disclosure belongs to the field of wind farm energy storage system optimization, and in particular relates to a wind farm energy storage system dispatching method and device integrating prediction and decision-making. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] The output of wind turbines and the market price of electricity are directly related to the income of wind farms. The output of wind turbines is uncertain and unschedulable, and these characteristics make the income of wind farms fluctuate and uncontrollable. In addition, the electricity price released by the electricity market includes information on the balance of supply and demand in the market, transmission congestion, fuel costs, etc. Adjusting the electricity price is a means for the market to guide and restrict power generators to provide high...

AI Technical Summary

Problems solved by technology

The separation of prediction and decision-making causes the process to lose a lot of effective decision-making basis contained in the original data, and additionally introduces error interference caused by the prediction algorithm

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