Systems and methods for aggregating transactions and optimization data related to energy and energy credits include a transaction-enabling system including a resource requirement circuit structured to aggregate a resource requirement for a fleet of machines to perform a task, wherein the resource requirement comprises an energy credit requirement; a forward resource market circuit structured to access a forward market for energy; and a machine resource acquisition circuit structured to execute a transaction on the forward market for energy in response to the aggregated resource requirement.

Systems and methods for adjusting a facility configuration based on detected conditions are disclosed. An example system may include an energy and compute facility having a compute resource, and an energy source or an energy utilization requirement. The system may also include a controller having a facility description circuit to interpret detected conditions, and a facility configuration circuit to operate an adaptive learning system. The adaptive learning system is configured to adjust a facility configuration based on the detected conditions, wherein adjusting the facility configuration includes adjusting a utilization of the compute resource and at least one additional facility resource.

An AI-based platform for enabling intelligent orchestration and management of power and energy is disclosed. The platform includes an adaptive energy data pipeline configured to communicate data across a set of nodes in a network. At least a subset of the set of nodes is configured, by at least one of a rule or an algorithm, to set at least one parameter of data communication associated with the adaptive energy data pipeline. The at least one parameter is based on a set of indicators of current network conditions in order to optimize energy used in the data communication.

Transaction-enabled methods for providing provable access to a distributed ledger with a tokenized instruction set for semiconductor fabrication processes are described. A method may include accessing a distributed ledger including an instruction set for a semiconductor fabrication process and tokenizing the instruction set. The method may further include interpreting an instruction set access request and, in response to the access request, providing a provable access to the instruction set. The method may further include providing commands to a production tool of the semiconductor fabrication process in response to the instruction set access request, and recording the transaction on the distributed ledger.

A system and method for supplying power to a power grid. The system includes a battery storage system; and a power management system, the power management system including a storage management system with a processor configured to: direct generated energy to the battery storage system; discharge battery-stored energy from the battery storage system to the power grid; and control the discharge of the battery-stored energy from the battery storage system to the power grid based on a demand index.

Systems and methods may use a low speed controller in addition to an economic optimizer to achieve long-term objectives without significantly disrupting or destabilizing an electrical system. Specific long-term objectives include maximizing a capacity factor incentive and regulating battery degradation, but the methods and systems herein can be extended to more long-term objectives. A low speed controller can adjust one or more parameters of a cost function based on the relation between the projected state of the electrical system and the one or more parameters to effectuate a change to the electrical system to attempt to comply with the long-term objective.

A method for delivering power to a grid. The method may include receiving a prediction of power generation for a renewable energy source (RES), receiving length of power delivery requirements of the grid, determining a stretch mode limit based on the prediction of power generation and the length of power delivery requirements such that a period of time during which the RES and an ESS can deliver power to the grid is extended to satisfy the length of power delivery requirements, wherein the stretch mode limit comprises a limit on power delivered to the grid, and delivering power to the grid according to the stretch mode limit from the RES and an energy storage system (ESS) electrically coupled to the RES, wherein the combined output of the RES and the ESS is limited by the stretch mode limit.

Transaction-enabled methods for providing provable access to a distributed ledger with a tokenized instruction set for polymer production processes are described. A method may include accessing a distributed ledger comprising an instruction set for a polymer production process and tokenizing the instruction set. The method may further include interpreting an instruction set access request and providing provable access to the instruction set. The method may further include providing commands to a production tool of the polymer production process and recording the transaction on the distributed ledger.

The present disclosure provides a method for determining a stability criterion for a control loop of a grid-connected converter under a weak grid condition, and belongs to the field of power control. The method includes performing a sampling, obtaining an expression of a transfer function of each of control loops of a grid-connected converter, further obtaining an expression of a transfer function for indicating stability performance of the system, obtaining an amplitude expression and a phase expression according to the transfer function, and providing a stability criterion for the control loop of the grid-connected converter under a weak grid condition and a stability margin expression of the system. The stability criterion for the control loop is significant and provided by a simple method, can quickly and accurately determine the stability of the grid-connected converter system under the weak grid condition, and is helpful for the parameters design of the controllers.

A method for checking a medium-term and long-term maintenance plan of a power grid. A predicted load value and one or more historical load values of a power grid are acquired and clustered through a clustering algorithm, and a historical moment at which a historical load value is in a same cluster as the predicted load value and has a largest load value is selected as a target historical moment. A power grid operation mode model at the target historical moment is acquired, and the power grid operation mode model is updated according to the maintenance plan and open loop point information by using a full wiring approach to obtain a future-state power grid operation mode model. Ground state power flow data of the power grid are calculated based on the operation mode model, and safety check is carried out according to a preset ground state power flow limit.