Method and apparatus configured to receive a plurality of power flow data from at least a grid monitoring device connected to a grid network including a plurality of nodes, generate a power flow allocation for at least a node in the network as a function of the at least a power consumption datum and the at least a generation datum, determine a carbon flow as a function of the power flow allocation and a first set of stored relational rules, generate an objective function of a carbon flow and a second set of stored relational rules, minimize the objective function of a carbon flow as a function of the carbon optimization model and an optimization algorithm, generate a grid modification as a function of the minimization; and modify a grid parameter of the grid network as a function of the grid modification.

A method tests the configuration of an aggregated DERs system using distributed asset managers in a decentralized hardware-in-the-loop (“HIL”) scheme. The managers contain the model of the asset they are meant to control. The method programs an asset manager with a model of a DERs asset. A plurality of asset managers are connected to a central controller. The plurality of asset managers are also connected to a simplified hardware-in-the-loop platform. The simplified HIL platform is configured to solve a network model, a load model, a non-controllable asset model, and a grid model. The method tests the DERs system control structure by using: (a) the simplified HIL platform to solve the network model, the load model, the non-controllable asset model, and the grid model, and (b) the asset manager to solve the model of the DERs asset, without any simulation between the central controller and the distributed asset managers.

A method tests the configuration of an aggregated DERs system using distributed asset managers in a decentralized hardware-in-the-loop (“HIL”) scheme. The managers contain the model of the asset they are meant to control. The method programs an asset manager with a model of a DERs asset. A plurality of asset managers are connected to a central controller. The plurality of asset managers are also connected to a simplified hardware-in-the-loop platform. The simplified HIL platform is configured to solve a network model, a load model, a non-controllable asset model, and a grid model. The method tests the DERs system control structure by using: (a) the simplified HIL platform to solve the network model, the load model, the non-controllable asset model, and the grid model, and (b) the asset manager to solve the model of the DERs asset, without any simulation between the central controller and the distributed asset managers.

A method of energy distribution from a plurality of energy sources to a plurality of loads wherein a set of selection options for a load are determined. Values are established for the selection options for each loads. The loads are then ordered into a load order according to a load ordering parameter. The energy sources are ordered in a plurality of sequences, where each sequence corresponds to a possible set of values for the selection options and wherein at least one energy source appears in more than one of the plurality of sequences. The loads are then matched with the energy sources according to the load order, with the sources in the sequence corresponding to the set of values for the selection options established for that load. A computing system designed to perform this method, and an electrical grid incorporating such a computing system are also described.

A method of energy distribution from a plurality of energy sources to a plurality of loads wherein a set of selection options for a load are determined. Values are established for the selection options for each loads. The loads are then ordered into a load order according to a load ordering parameter. The energy sources are ordered in a plurality of sequences, where each sequence corresponds to a possible set of values for the selection options and wherein at least one energy source appears in more than one of the plurality of sequences. The loads are then matched with the energy sources according to the load order, with the sources in the sequence corresponding to the set of values for the selection options established for that load. A computing system designed to perform this method, and an electrical grid incorporating such a computing system are also described.

In a power control system a server maintains asset models that represent asset behaviour, each asset model being in real-time communication with its asset to dynamically inform the model of the status of the asset. A test is performed at the server by issuing a command to an asset requesting the asset to perform a function. Sensors at the asset measure physical parameters at the asset and report these to the server. The server determines whether the asset responded to the command and, if the asset responded, how it responded over time. The server establishes a model for the asset in terms of an energy capacitance and a time constant based on the measured response. An optimizer determines which assets are to participate in which service models. The server sends instructions to the selected assets to attempt to fulfill the services.

In a power control system a server maintains asset models that represent asset behaviour, each asset model being in real-time communication with its asset to dynamically inform the model of the status of the asset. A test is performed at the server by issuing a command to an asset requesting the asset to perform a function. Sensors at the asset measure physical parameters at the asset and report these to the server. The server determines whether the asset responded to the command and, if the asset responded, how it responded over time. The server establishes a model for the asset in terms of an energy capacitance and a time constant based on the measured response. An optimizer determines which assets are to participate in which service models. The server sends instructions to the selected assets to attempt to fulfill the services.

A power trading management apparatus receives power supply application data including the amount of supplied power and a supply period from a supply-side computer, and receives power demand application data including the amount of requested power and a request period from a demand-side computer, determines whether or not a first trading condition in which the supply period is a period earlier than the request period is satisfied, decides the amount of transmitted power for a power demand apparatus based on an amount of power of the amount of supplied power or the amount of requested power when the first trading condition is satisfied, and stores the amount of supplied power in a power storage and discharge apparatus from a power supply apparatus in the supply period and discharges the amount of transmitted power decided by the decision processing to the power demand apparatus from the power storage and discharge apparatus.

A power trading management apparatus receives power supply application data including the amount of supplied power and a supply period from a supply-side computer, and receives power demand application data including the amount of requested power and a request period from a demand-side computer, determines whether or not a first trading condition in which the supply period is a period earlier than the request period is satisfied, decides the amount of transmitted power for a power demand apparatus based on an amount of power of the amount of supplied power or the amount of requested power when the first trading condition is satisfied, and stores the amount of supplied power in a power storage and discharge apparatus from a power supply apparatus in the supply period and discharges the amount of transmitted power decided by the decision processing to the power demand apparatus from the power storage and discharge apparatus.

A power management system includes a plurality of power adjustment resources electrically connected to a microgrid MG, and a CEMS server that manages the power adjustment resources. The CEMS server outputs a power adjustment request to a plurality of power adjustment resources when suppression of power consumption or consumption of surplus power is requested in the microgrid MG, and gives an incentive to the power adjustment resource that performs power adjustment in response to the power adjustment request among the power adjustment resources. The CEMS server increases the incentive more as a deviation of a second power amount adjusted by a responding resource with respect to a first power amount requested for adjustment by the power adjustment request is smaller.