Patent classifications
G07F15/003
Control method, controller, data structure, and power transaction system
Provided is a control method including: receiving, from first power equipment, first transaction data including, for example, transmitted power amount information indicating the amount of power transmitted to power accumulation equipment; obtaining, from the power accumulation equipment, received power information including, for example, received power amount information indicating the amount of power received from the first power equipment; verifying the first transaction data by referring to the received power information; executing a first consensus algorithm with second servers when the first transaction data is verified successfully; and recording a block including the first transaction data in a distributed ledger of a first server when the validity of the first transaction data is verified through the first consensus algorithm.
Method, system and apparatus for controlling prepaid delivery of utilities
A system for controlling prepaid delivery of utilities includes a utility meter with a cutoff device for enabling or disabling delivery of a utility; and a server connected to the utility meter via a network. The utility meter receives a usage limit from the server, measures usage of the utility by the load, and when the usage limit is exceeded, activates the cutoff device. The utility meter transmits the measured usage to the server at configurable intervals. The server maintains an account balance associated with the load, receives the measured usage from the utility meter, and decrements the account balance based on the measured usage. When the account balance is exhausted, the server sends a command to activate the cutoff device to the utility meter. Otherwise, the server generates a further usage limit based on the account balance, and sends the further usage limit to the utility meter.
Real-time validation of distributed energy resource device commitments
A distributed energy resource (DER) device is coupled to a utility meter in a “behind-the-meter” configuration. The utility meter analyzes a commitment generated by the DER device to determine a specific operation performed by the DER device at a particular time. The utility meter analyzes metrology data to identify an “event” associated with the particular time and then attempts to map the identified event back to the DER device based on a library of events associated with different DER devices. The utility meter also attempts to map the identified event to the specific operation set forth in the commitment. If the utility meter can successfully map the identified event to both the DER device and to the specific operation set forth in the commitment, then the utility meter generates a validated commitment. The validated commitment can be used to facilitate an energy market settlement process.
SUPPORT SERVER, DISASTER SUPPORT SYSTEM, AND PROGRAM
A support server includes a processor configured to perform: acquiring an amount of residual fuel, state information of each of a plurality of vehicles, position information of each of the plurality of vehicles, and user position information of a user who desires supply of fuel from the plurality of vehicles; identifying a supply vehicle that is able to supply fuel out of the plurality of vehicles based on the amounts of residual fuel of the plurality of vehicles and the state information of the plurality of vehicles; generating fuel position information including at least the position information of the supply vehicle based on the user position information and the position information of the supply vehicle; and outputting the fuel position information.
Distributed energy transaction matching method based on energy network constraints and multiple knapsack model
This invention provides a distributed energy transaction matching method based on energy network constraints and multiple knapsack model. First, it considers the matching between financial market transactions and actual energy network scheduling, then generates security constraints on the results of distributed transactions. Next, it designs a multiple knapsack model for peer-to-peer distributed transactions, which can meet the common quotation needs of users or producers who issue transactions and achieve efficient matching under energy network security checks. Finally, the model is verified based on the blockchain Ethereum smart contract test verification. This method provides new ideas for the connection between distributed energy trading and actual physical dispatch, proposes an inclusive and efficient matching model for the point-to-point distributed trading market, which has great reference value for the connection between distributed energy trading and actual conditions.
System and method for constructing mobile electric energy interconnection, data testing method and device
Provided is a system for constructing mobile electric energy interconnection. The system includes at least one mobile electric energy exchange device, a mobile electric energy interconnection management platform and at least one stationary electric energy interconnection device. The mobile electric energy interconnection management platform is configured to match the at least one mobile electric energy exchange device with the at least one stationary electric energy interconnection device, and push a matching result to the at least one mobile electric energy exchange device and the at least one stationary electric energy interconnection device. Also provided is a method for constructing mobile electric energy interconnection, a data testing method and device, and a computer readable storage medium.
Battery management reward network and system
Methods, systems, and devices are described. A battery management system may receive, in accordance with a smart contract in support of a blockchain, an indication of an agreement between a sponsor and a user of a rechargeable battery associated with a battery identifier. The agreement may indicate battery usage conditions and a token release amount for each of the battery usage conditions. The battery management system may receive battery usage information associated with the battery identifier of the rechargeable battery. The battery management system may determine that the battery usage information satisfies the battery usage conditions. The battery management system may cause execution of a token release action responsive to determining that the battery usage information satisfies the battery usage conditions. The token release action may cause transmission of the token release amount of tokens managed by the smart contract to participants set forth in the agreement.
Methods and apparatus for creating, tracking, and redeeming DLT-enabled digitized tokens from electricity generation
Peer-to-Peer Electronic token exchange systems and methods utilizing electricity generated and validated with a distributed ledger as the underlying physical value for the token.
Systems, methods and apparatus for vehicle battery charging
A system for charging a battery within an at least partially electric vehicle. The system includes a charging device wherein the charging device configured to electrically connect to the at least partially electric vehicle and charge at least one battery by a predetermined amount. The system also includes a network configured to determine the location of the charging device.
REAL-TIME VALIDATION OF DISTRIBUTED ENERGY RESOURCE DEVICE COMMITMENTS
A computing device receives a commitment generated by a distributed resource device, the commitment indicating a type of the distributed resource device and a time interval when the distributed resource device modified usage of a resource at a location; receives an event corresponding to a pattern of usage of the resource at the location during the time interval; identifies an event model that is associated with a pattern of usage of the resource that matches the pattern of usage of the resource at the location during the time interval, the event model being included in a library of event models that associate different patterns of usage of the resource with corresponding types of distributed resource devices; and validates the commitment in response to determining that at least a type of distributed resource device associated with the event model corresponds to the type of distributed resource device indicated by the commitment.