Medium and long term random production simulation method, system, medium and equipment
The invention discloses a medium and long term random production simulation method and system, a medium and equipment. The method comprises the following steps: acquiring basic technical data of a power system containing renewable energy sources and predicted distribution data of the renewable energ...
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| creator | YANG XUSONG LI ZHIYUAN ZHANG QI ZHOU BONAN WU JUN HUANG HE ZHOU XIN WANG ZIYU LUO XIANJUE MA QIAN YAN RONG WANG JIANXUE |
| description | The invention discloses a medium and long term random production simulation method and system, a medium and equipment. The method comprises the following steps: acquiring basic technical data of a power system containing renewable energy sources and predicted distribution data of the renewable energy sources; on the basis of basic technical data and predicted distribution data of the power system, a Markov decision process is constructed under the condition of considering complex constraints by taking realization of system power supply safety, renewable energy consumption and reduction of the total cost of the system as targets; and carrying out iterative training on the Markov decision process by adopting an approximate dynamic programming method, and searching to obtain an optimal group of decisions as a medium and long term operation mode. According to the method, the optimal operation mode is obtained through distribution search of random factors, interference of subjective factors is avoided, the total c |
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The method comprises the following steps: acquiring basic technical data of a power system containing renewable energy sources and predicted distribution data of the renewable energy sources; on the basis of basic technical data and predicted distribution data of the power system, a Markov decision process is constructed under the condition of considering complex constraints by taking realization of system power supply safety, renewable energy consumption and reduction of the total cost of the system as targets; and carrying out iterative training on the Markov decision process by adopting an approximate dynamic programming method, and searching to obtain an optimal group of decisions as a medium and long term operation mode. According to the method, the optimal operation mode is obtained through distribution search of random factors, interference of subjective factors is avoided, the total c</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONVERSION OR DISTRIBUTION OF ELECTRIC POWER COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRICITY GENERATION PHYSICS SYSTEMS FOR STORING ELECTRIC ENERGY SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Medium and long term random production simulation method, system, medium and equipment |
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