Multi-agent reinforcement learning power distribution network optimization method taking distributed photovoltaic absorption as target

The invention relates to a multi-agent reinforcement learning power distribution network optimization method with distributed photovoltaic consumption as a target. The method comprises the following steps: step 1, constructing a power distribution network optimization model with distributed photovol...

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Hauptverfasser:	ZHAO CHUNLI, SHANG XINGMING, WU YIXUAN, GAO ZIWEI, LI BEN, CHONG FEI, LEE CHANG-WON, WANG YUE, ZHANG HAO, LI DEQIANG, YE JU, LIU KAI, WU TONG, KONG LINGYU, DONG HANG, PENG YIZHOU, WEI GUOHUA, BAI JIE, GE LEIJIAO, LI BOZHEN, LIU ZHANGE, QIAN XIN
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	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
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