A management system includes a first receiver receiving, at a predetermined time interval, a reference value of a reference power meter, a second receiver receiving, at an interval shorter than the time interval, a first measurement value of a first power meter closer to a power system than a merging point of a power line connected to a distributed power supply and a power line connected to a load device, a third receiver receiving, at an interval shorter than the time interval, a second measurement value of a second power meter for measuring power consumption of the load device, and a controller executing a first calibration process related to the first power meter based on a comparison between the reference value and the first measurement value and subsequently executing a second calibration process related to the second power meter based on the first measurement value and the second measurement value.

A management system includes a first receiver receiving, at a predetermined time interval, a reference value of a reference power meter, a second receiver receiving, at an interval shorter than the time interval, a first measurement value of a first power meter closer to a power system than a merging point of a power line connected to a distributed power supply and a power line connected to a load device, a third receiver receiving, at an interval shorter than the time interval, a second measurement value of a second power meter for measuring power consumption of the load device, and a controller executing a first calibration process related to the first power meter based on a comparison between the reference value and the first measurement value and subsequently executing a second calibration process related to the second power meter based on the first measurement value and the second measurement value.

An optimal dispatching method and system for a wind power generation and energy storage combined system are provided. Uncertainty of a wind turbine output is characterized based on spatio-temporal coupling of the wind turbine output and an interval uncertainty set. Compared with a traditional symmetric interval uncertainty set, the uncertainty set that considers spatio-temporal effects effectively excludes some extreme scenarios with a very small probability of occurrence and reduces conservativeness of a model. A two-stage robust optimal dispatching model for the wind power generation and energy storage combined system is constructed, and a linearization technology and a nested column-and-constraint generation (C&CG) strategy are used to efficiently solve the model.

A method and a system for dispatching an independent energy storage power station is provided. The method includes: determining the current typical secondary frequency regulation scenario according to the predicted AGC frequency regulation instruction for the next stage; dispatching, for the continuous upward adjustment response scenario, the independent energy storage power station to participate in the upward adjustment response according to the data required for the continuous upward adjustment; dispatching, for the continuous downward adjustment response scenario, the independent energy storage power station to participate in the downward adjustment response according to the data required for the continuous downward adjustment; and preferably, for the upward and downward adjustment fluctuation response scenario, dispatching the independent energy storage power station to participate in the upward and downward adjustment fluctuation response according to the data required for the upward and downward adjustment.

A method and a system for dispatching an independent energy storage power station is provided. The method includes: determining the current typical secondary frequency regulation scenario according to the predicted AGC frequency regulation instruction for the next stage; dispatching, for the continuous upward adjustment response scenario, the independent energy storage power station to participate in the upward adjustment response according to the data required for the continuous upward adjustment; dispatching, for the continuous downward adjustment response scenario, the independent energy storage power station to participate in the downward adjustment response according to the data required for the continuous downward adjustment; and preferably, for the upward and downward adjustment fluctuation response scenario, dispatching the independent energy storage power station to participate in the upward and downward adjustment fluctuation response according to the data required for the upward and downward adjustment.

A power prediction method includes obtaining evaluation metrics of models in a model pool, where the evaluation metrics are used to indicate precision of the models; selecting, based on the evaluation metrics, a first model for a power prediction on a first electrical unit; and presenting a result of the power prediction of the first electrical unit using the first model.

The present disclosure envisages a hybrid energy storage system (HESS) for power management of a microgrid. The system includes a plurality of renewable energy sources (RES), a plurality of power converters, a DC bus and a power management controller. Each RES is configured to generate a current I.sub.RES. Each RES is connected to a power converter. Each power converter generates a DC voltage V.sub.dc from the current I.sub.RES. The DC bus is connected to the plurality of power converters. The DC bus receives the DC voltage V.sub.dc. The power management controller controls a battery energy storage system (BESS) and a supercapacitor energy storage system (SCSS). The BESS includes a battery which is connected to receive the DC voltage V.sub.dc and generate a battery current i.sub.batt. The SCSS includes a supercapacitor which is connected to receive the DC voltage V.sub.dc and generate a supercapacitor current isc.

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.

The present disclosure is directed to systems and methods for economically optimal control of an electrical system. A two-stage controller includes an optimizer and a high speed controller to effectuate a change to one or more components of the electrical system. The high speed controller receives a set of control parameters for an upcoming extended time period. The control parameters include a plurality of bounds for an adjusted net power of the electrical system. The high speed controller sets an energy storage system command control variable (ESS command) based on a state of adjusted net power of the electrical system and the set of control parameters.

The present disclosure is directed to systems and methods for economically optimal control of an electrical system. A two-stage controller includes an optimizer and a high speed controller to effectuate a change to one or more components of the electrical system. The high speed controller receives a set of control parameters for an upcoming extended time period. The control parameters include a plurality of bounds for an adjusted net power of the electrical system. The high speed controller sets an energy storage system command control variable (ESS command) based on a state of adjusted net power of the electrical system and the set of control parameters.