An operational support device sets an execution time of overfiring serving as an operation of a power generation facility at an output higher than a rated output. The device includes a life index value acquisition unit that acquires a life index value at a start time, the life index value being an index indicating a life of the power generation facility and changing in value in one direction with the output of the power generation facility; an output pattern setting unit that sets an output pattern per unit time of the power generation facility from the start time to a stop time based on the life index value such that the life index value reaches a predetermined value; and an overfiring setting unit that sets, based on the output pattern, a time in a period from the start to the stop time at which the overfiring is to be performed.

Provided are energy device control systems for distributed grid subsystem that control a first power demand of a plurality of appliances. The control system comprises a graphical user interface configured to accept a user input indicative of a first demand and dynamic allocation flexibility associated with the a respective energy device; a communication interface configured to aggregate dynamic allocation values from a plurality of system nodes including at least the user input indicative of a first demand and the dynamic allocation flexibility; and at least one processor programmed to: generate a learning model for evaluating dynamic future allocation with future energy execution prediction, wherein the dynamic future allocation includes at least energy operational information based on a categorization of energy usage at a plurality of respective energy devices; and trigger energy generation on the energy grid at respective generator nodes according to the learning model and dynamic projections.

Fast simultaneous feasibility testing (SFT) for management of an electrical power grid is achieved through various innovations. The computation problem relates to evaluation of candidate solutions for external power flows into a power grid, with respect to predetermined constraints and contingencies. Storage and computations are reduced by formulating the problem in terms of transactional nodes (e.g. third party connections for generators and loads) instead of the larger number of bus nodes. Further advantages are achieved by precomputing matrices that can be reused across multiple SFT invocations, organizing matrices and operations to reduce storage and computation, and eliminating branches that have no contingency violations. The fast SFT further enables new applications for integrating SFT with a Security-Constrained Unit Commitment (SCUC) optimizer for efficient single pass solutions; operating SFT as a service to multiple SCUC solvers; or integration with Security-Constrained Economic Dispatch (SCED) optimization.

Aspects of the disclosure include a power device having a first input configured to be coupled to a main power source, a second input configured to be coupled to a back-up power source, an output configured to be coupled to a load, the load being configured to perform a procedure, and at least one controller configured to determine a required energy for the load to perform the procedure, estimate an amount of available energy predicted to be available to the power device during the procedure, the available energy being derived from at least the back-up power source, determine whether the amount of available energy predicted to be available is equal to or greater than the required energy, and prevent power from being provided at the output responsive to determining that the amount of available energy predicted to be available is less than the required energy.

A retention amount management system includes a detector that detects an amount of retention and a server that adjusts an amount of production of hydrogen in a production facility such that the amount of retention of hydrogen retained in a retention facility for a predetermined period attains to a target amount of retention. The server sets the target amount of retention such that an amount of hydrogen α corresponding to an amount of surplus electric power during a preparation period during which electric power generated per prescribed period by using renewable energy is higher than a threshold value is larger than an amount of hydrogen β corresponding to the amount of surplus electric power during an ordinary period.

A method of operating a plurality of power sources is provided. The method includes operating a first power source at a first power output and operating a second power source at a second power output. The second power source has a second operational capacity greater than the first operational capacity. First transient zone parameters are determined to operate in a first transient output power range. The first transient zone parameters include a first planned power output and a second planned power output constrained to be less than the first operational capacity.

A server that manages energy of a power grid by using a plurality of energy storage resources includes a loss obtaining unit and a selector. The loss obtaining unit obtains for each of the plurality of energy storage resources, energy loss including retention loss and input and output loss, the energy loss being caused in storing energy in each energy storage resource. When surplus electric power occurs in the power grid, the selector selects at least one energy storage resource for storing surplus electric power from among the plurality of energy storage resources based on the energy loss caused in storing surplus electric power.

A retention amount management system includes a detector that detects an amount of retention and a server that adjusts an amount of production of hydrogen in a production facility such that the amount of retention of hydrogen retained in the retention facility for a predetermined period attains to a target amount of retention. The server sets the target amount of retention such that a first amount of hydrogen a corresponding to an amount of surplus electric power during a stable period during which electric power generated per prescribed period by using renewable energy is higher than a threshold value is larger than a second amount of hydrogen β corresponding to the amount of surplus electric power during an ordinary period.

An edge computing device may control load devices and DER (distributed energy resource) devices. The edge computing device may be associated with an electric meter located at a premises or with a distribution transformer located at a secondary substation. The control of the load devices and DER devices may be based in part on forecasted pricing information that considers factors such as equipment ratings for distribution equipment, environmental conditions, historical patterns of generation and load, and user input.

Disclosed are systems and methods of generating electrical power utilizing a mining bank of individual blockchain miners. The blockchain miners operate as a revenue generating heat source that provides thermal energy into a power plant's Rankine or Brayton cycle turbines.