The present disclosure is directed to systems and methods for economically optimal control of an electrical system. Some embodiments employ generalized multivariable constrained continuous optimization techniques to determine an optimal control sequence over a future time domain in the presence of any number of costs, savings opportunities (value streams), and constraints. Some embodiments also include control methods that enable infrequent recalculation of the optimal setpoints. Some embodiments may include a battery degradation model that, working in conjunction with the economic optimizer, enables the most economical use of any type of battery. Some embodiments include techniques for load and generation learning and prediction. Some embodiments include consideration of external data, such as weather.

The present disclosure is directed to systems and methods for economically optimal control of an electrical system. Some embodiments employ generalized multivariable constrained continuous optimization techniques to determine an optimal control sequence over a future time domain in the presence of any number of costs, savings opportunities (value streams), and constraints. Some embodiments also include control methods that enable infrequent recalculation of the optimal setpoints. Some embodiments may include a battery degradation model that, working in conjunction with the economic optimizer, enables the most economical use of any type of battery. Some embodiments include techniques for load and generation learning and prediction. Some embodiments include consideration of external data, such as weather.

A method and apparatus for secondary control in a power network. In one embodiment, the method comprises determining a frequency area controller error (ACE) equation for an area and a voltage ACE for the area; decomposing the frequency ACE equation and the voltage ACE equation to generate a first set of symmetric sequences for the frequency ACE equation and a second set of symmetric sequences for the voltage ACE equation, respectively, wherein the first and second sets of symmetric sequences represent positive and negative sequences; and implementing, by an area controller for the area, secondary control on each sequence in the first and second sets of symmetric sequences separately.

A method and apparatus for secondary control in a power network. In one embodiment, the method comprises determining a frequency area controller error (ACE) equation for an area and a voltage ACE for the area; decomposing the frequency ACE equation and the voltage ACE equation to generate a first set of symmetric sequences for the frequency ACE equation and a second set of symmetric sequences for the voltage ACE equation, respectively, wherein the first and second sets of symmetric sequences represent positive and negative sequences; and implementing, by an area controller for the area, secondary control on each sequence in the first and second sets of symmetric sequences separately.

Provided are a load transfer method and system in thunder and lightning weather. The method includes: detecting lightning and predicting a position and time of a lightning strike to obtain a lightning prediction result; determining a transmission line possibly struck by lightning in a power grid according to the lightning prediction result; determining a load transfer scheme; and before the lightning occurs, transferring at least part of loads on the transmission line possibly struck by lightning according to the load transfer scheme.

Provided are a load transfer method and system in thunder and lightning weather. The method includes: detecting lightning and predicting a position and time of a lightning strike to obtain a lightning prediction result; determining a transmission line possibly struck by lightning in a power grid according to the lightning prediction result; determining a load transfer scheme; and before the lightning occurs, transferring at least part of loads on the transmission line possibly struck by lightning according to the load transfer scheme.

Disclosed is an optimal power flow acquiring method for regional distribution network of small hydropower groups based on deep learning, which specifically includes the following steps: generating required data sets by adopting continuous power flow and power flow equation calculation methods; the data set is randomly divided into training data (80 percent) and test data (20 percent); training the built convolutional neural network model with training data to learn the mapping relationship between load and generator output power; inputting test data, and directly obtaining P.sub.G and Q.sub.G from the trained convolutional neural network; and solving residual variables V.sub.i and θ.sub.i with traditional power flow solver. The application can accelerate the solving speed of the optimal power flow problem with higher prediction accuracy.

Disclosed is an optimal power flow acquiring method for regional distribution network of small hydropower groups based on deep learning, which specifically includes the following steps: generating required data sets by adopting continuous power flow and power flow equation calculation methods; the data set is randomly divided into training data (80 percent) and test data (20 percent); training the built convolutional neural network model with training data to learn the mapping relationship between load and generator output power; inputting test data, and directly obtaining P.sub.G and Q.sub.G from the trained convolutional neural network; and solving residual variables V.sub.i and θ.sub.i with traditional power flow solver. The application can accelerate the solving speed of the optimal power flow problem with higher prediction accuracy.

A system, method and apparatus for an interactive dynamic interface for wireless distributed capacitor control that comprises a touchscreen display that eliminates the conventional dials and switches that are part of a conventional control, and with these efficiencies can locally, remotely or autonomously implement “personality” settings for the capacitor control that speeds and simplifies custom configurations and recovery in relation to user, electrical and environmental input that meets certain operating criteria, including after a shut-down event, thereby improving the of the capacitor control system to function more appropriately, effectively, and efficiently under a greater range of parameters.

A system, method and apparatus for an interactive dynamic interface for wireless distributed capacitor control that comprises a touchscreen display that eliminates the conventional dials and switches that are part of a conventional control, and with these efficiencies can locally, remotely or autonomously implement “personality” settings for the capacitor control that speeds and simplifies custom configurations and recovery in relation to user, electrical and environmental input that meets certain operating criteria, including after a shut-down event, thereby improving the of the capacitor control system to function more appropriately, effectively, and efficiently under a greater range of parameters.