Real-time simulation optimization method and device of power system and electronic equipment
The invention provides a real-time simulation optimization method and device for a power system and electronic equipment. The method comprises the following steps: acquiring real-time power data, and determining feature data according to the real-time power data; analyzing the feature data through a...
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| creator | LU YUANHONG ZHANG JIE ZHANG JINGYUE GUO HAIPING HONG ZEQI TU LIANG HUANG LIBIN GUO TIANYU GUO QI HU YUFENG DENG LIJUN LUO HUI HU BINJIANG ZHAO YANJUN |
| description | The invention provides a real-time simulation optimization method and device for a power system and electronic equipment. The method comprises the following steps: acquiring real-time power data, and determining feature data according to the real-time power data; analyzing the feature data through a long and short term memory neural network optimization model to obtain a first simulation result, and obtaining a prediction duration; real-time simulation is conducted on the power system based on the real-time power data, a second simulation result is obtained, the simulation duration is obtained, and the second simulation result is the value of a parameter representing the operation state obtained by simulating the power system; and comparing the prediction time length with the simulation time length, and simulating the power system by adopting a simulation mode corresponding to a small one of the prediction time length and the simulation time length so as to monitor the power system in real time. According to |
| format | Patent |
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The method comprises the following steps: acquiring real-time power data, and determining feature data according to the real-time power data; analyzing the feature data through a long and short term memory neural network optimization model to obtain a first simulation result, and obtaining a prediction duration; real-time simulation is conducted on the power system based on the real-time power data, a second simulation result is obtained, the simulation duration is obtained, and the second simulation result is the value of a parameter representing the operation state obtained by simulating the power system; and comparing the prediction time length with the simulation time length, and simulating the power system by adopting a simulation mode corresponding to a small one of the prediction time length and the simulation time length so as to monitor the power system in real time. 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The method comprises the following steps: acquiring real-time power data, and determining feature data according to the real-time power data; analyzing the feature data through a long and short term memory neural network optimization model to obtain a first simulation result, and obtaining a prediction duration; real-time simulation is conducted on the power system based on the real-time power data, a second simulation result is obtained, the simulation duration is obtained, and the second simulation result is the value of a parameter representing the operation state obtained by simulating the power system; and comparing the prediction time length with the simulation time length, and simulating the power system by adopting a simulation mode corresponding to a small one of the prediction time length and the simulation time length so as to monitor the power system in real time. 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The method comprises the following steps: acquiring real-time power data, and determining feature data according to the real-time power data; analyzing the feature data through a long and short term memory neural network optimization model to obtain a first simulation result, and obtaining a prediction duration; real-time simulation is conducted on the power system based on the real-time power data, a second simulation result is obtained, the simulation duration is obtained, and the second simulation result is the value of a parameter representing the operation state obtained by simulating the power system; and comparing the prediction time length with the simulation time length, and simulating the power system by adopting a simulation mode corresponding to a small one of the prediction time length and the simulation time length so as to monitor the power system in real time. According to</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | Real-time simulation optimization method and device of power system and electronic equipment |
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