Method and system for calculating power loss of abnormal string of equipment and computer equipment
A technology of power loss and string, applied in the direction of calculation, neural learning method, design optimization/simulation, etc., can solve the problem that the power loss of abnormal strings cannot be quantified, and achieve the quantification of power loss, fine management, and grid security and stability. Effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0027] figure 1 A flow chart of a method for calculating the power loss of an abnormal string of equipment provided by an embodiment of the present disclosure, as shown in figure 1 As shown, the method includes:
[0028] Step 1: Obtain the current and voltage data of each string in the photovoltaic equipment at each moment of the current date and the daily abnormal label of the string;
[0029] Step 2: Determine the abnormal strings and normal strings in the photovoltaic device corresponding to the current date by using the abnormal strings of each string in the photovoltaic device;
[0030] Step 3: Input the current of each normal string at each moment on the current date into the pre-established fully connected neural network model corresponding to each abnormal string at the same time, and obtain the current of each abnormal string at each moment on the current date. predicted current;
[0031] Step 4: Based on the predicted current at each moment corresponding to each a...
Embodiment 2
[0078] figure 2 A structural diagram of a system for calculating the power loss of an abnormal string of equipment provided by an embodiment of the present disclosure, as shown in figure 2 As shown, the system includes:
[0079] The first obtaining module is used to obtain the current and voltage data and the daily abnormal label of each group string in the photovoltaic device at each moment under the current date;
[0080] The first determining module is used to determine the abnormal group string and the normal group string in the photovoltaic device corresponding to the current date by using the group string day abnormal label of each group string in the photovoltaic device;
[0081] The second acquisition module is used to simultaneously input the current of each normal string at each moment on the current date into the pre-established fully connected neural network model corresponding to each abnormal string, and respectively obtain the current corresponding to each ab...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More