Multi-region collaborative optimization method for integrated energy system
A multi-region collaborative optimization method for an integrated energy system is technically characterized by comprising the following steps: S1, establishing the integrated energy system by a distributed energy system, a controllable load system, a control center and a communication system; the...
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creator | ZHU SITONG |
description | A multi-region collaborative optimization method for an integrated energy system is technically characterized by comprising the following steps: S1, establishing the integrated energy system by a distributed energy system, a controllable load system, a control center and a communication system; the control center comprises an information collection module, a storage module, a prediction analysis module, a decision analysis module and a control module; s2, establishing a weather-generating capacity prediction model through a deep learning method; s3, establishing an electricity consumption prediction model through a deep learning method; s4, establishing an electricity price prediction model through a deep learning method; s5, inputting weather forecast prediction data into the model P, the model W and the model H to respectively obtain distributed generating capacity at corresponding moments, and substituting parameters such as the distributed generating capacity into the model E to obtain electricity price P |
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the control center comprises an information collection module, a storage module, a prediction analysis module, a decision analysis module and a control module; s2, establishing a weather-generating capacity prediction model through a deep learning method; s3, establishing an electricity consumption prediction model through a deep learning method; s4, establishing an electricity price prediction model through a deep learning method; s5, inputting weather forecast prediction data into the model P, the model W and the model H to respectively obtain distributed generating capacity at corresponding moments, and substituting parameters such as the distributed generating capacity into the model E to obtain electricity price P</description><language>chi ; eng</language><subject>CALCULATING ; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER ; COMPUTING ; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; 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the control center comprises an information collection module, a storage module, a prediction analysis module, a decision analysis module and a control module; s2, establishing a weather-generating capacity prediction model through a deep learning method; s3, establishing an electricity consumption prediction model through a deep learning method; s4, establishing an electricity price prediction model through a deep learning method; s5, inputting weather forecast prediction data into the model P, the model W and the model H to respectively obtain distributed generating capacity at corresponding moments, and substituting parameters such as the distributed generating capacity into the model E to obtain electricity price P</description><subject>CALCULATING</subject><subject>CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER</subject><subject>COMPUTING</subject><subject>CONVERSION OR DISTRIBUTION OF ELECTRIC POWER</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>ELECTRICITY</subject><subject>GENERATION</subject><subject>PHYSICS</subject><subject>SYSTEMS FOR STORING ELECTRIC ENERGY</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPD2Lc0pydQtSk3PzM9TSM7PyUlMyi9KLMksS1XILyjJzM2sAnKAUrmpJRn5KQpp-UUKmXklqelANakpCql5qUXplQrFlcUlqbk8DKxpiTnFqbxQmptB0c01xNlDN7UgPz61uCAxGai8JN7Zz9DQwtTY0sTcwtGYGDUA5F42lg</recordid><startdate>20240823</startdate><enddate>20240823</enddate><creator>ZHU SITONG</creator><scope>EVB</scope></search><sort><creationdate>20240823</creationdate><title>Multi-region collaborative optimization method for integrated energy system</title><author>ZHU SITONG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN118539478A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; 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subjects | CALCULATING CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER COMPUTING CONVERSION OR DISTRIBUTION OF ELECTRIC POWER COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING 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 | Multi-region collaborative optimization method for integrated energy system |
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