Household energy optimization system and method based on multi-user networking shared energy storage
An energy optimization and energy storage system technology, applied in data processing applications, instruments, calculations, etc., can solve the problems of waste of energy storage space, fixed energy storage capacity, and no consideration of surplus electricity, so as to reduce energy storage capacity and improve The effect of energy storage space utilization
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Embodiment 1
[0041] see figure 2 with image 3 , the first embodiment of the home energy optimization system based on multi-user networking and shared energy storage provided by the present invention: a home energy optimization system based on multi-user networking and shared energy storage, including:
[0042] The centralized shared energy storage module 100 is composed of power electronic devices and a group of single batteries, and is used for power storage of multiple household users;
[0043] The internal power supply module 200 is composed of a network of multiple household users, and is used for direct energy circulation between different users;
[0044] The energy optimization module 300 is used to invest, maintain and manage the centralized shared energy storage module 100, maintain the power balance of the internal power supply module 200, and provide users with power consumption and energy storage optimization services;
[0045] The household client module 400 is used for arr...
Embodiment 2
[0082] see figure 1 , the first embodiment of the home energy optimization method based on multi-user networking and shared energy storage provided by the present invention: a home energy optimization method based on multi-user networking and shared energy storage, including:
[0083] The user arranges the electricity consumption plan information for the next day according to his or her living needs for the next day, and sends the arranged electricity consumption plan information to the energy optimization module 300 ;
[0084] The energy optimization module 300 receives the next day's power consumption plan information sent by all users, and predicts the next day's power generation power of users who have installed renewable energy generation units;
[0085] The energy optimization module 300 is based on the user's power consumption plan information for the next day, renewable energy generation capacity, state of charge of the energy storage system, power constraints of the e...
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