This invention provides an energy storage device manager, a system comprising the energy storage device manager, computer-readable media configured for providing the energy storage device manager, and methods of using the energy storage device manager. The energy storage device manager can optionally control charge buses and/or load buses to modulate the state of charge of an energy storage device. The energy storage device manager can optionally be configured with a plurality of modes that target different states of charge. The plurality of modes can optionally comprise a maintain mode which targets a nominal (e.g. 50%) charge state and a high-charge mode that targets a state of charge greater than the maintain mode. The plurality of modes can optionally further include an in-use mode which targets a state of charge greater than the maintain mode, and turns on a load bus that is turned off in the preparation mode. The energy storage device manager can optionally be configured to determine a charge start time to execute the preparation mode. The energy storage device manager can optionally be configured to determine the charge start time based on forecast data (e.g. power prediction forecast determined based on weather forecast).

Systems and methods herein automate detection of switched-capacitor bank operation on a power grid. At least one power line sensor (106) may be positioned on a power line to measure electric field strength and current. A processor may be in communication with the power line sensor and memory storing a capacitor bank analyzer as computer readable instructions that, when executed by the processor, control the processor to: receive electric field data and current data from the power line sensor. The processor may extract key characteristics from the electric field data and the current data, compare the key characteristics to a library of key characteristics of a predictive model, and output, based on the predictive model, a label indicating presence of, or lack of, a capacitor switching event. E-field and current data from multiple line sensors may be aggregated to provide additional insight to capacitor bank operation.

A battery with a battery management system and a wireless communication module is capable of charging the battery with recaptured energy from an energy regeneration device. The battery management system charges the battery with the energy regeneration device if the output voltage from the energy regeneration device is larger than the charging voltage of the battery. The battery management system can enable and disable charging of the battery with the energy from the energy regeneration device according to an instruction received wirelessly.

A power distribution terminal provided with a display module, a wireless power distribution display system and a wireless power distribution display method are disclosed. The wireless power distribution display system includes a local gateway, and at least two power distribution terminals which are communicated with the local gateway in a short-distance wireless communication mode and send their terminal identification data to the local gateway; at least one of the at least two power distribution terminals is provided with a display module; the local gateway outputs the terminal identification data in a short-distance wireless communication mode; and the at least one power distribution terminal provided with a display module receives the terminal identification data of other distribution terminals from the local gateway in a short-distance wireless communication mode, and displays the terminal identification data.

A method, a system and a tangible product and non-transitory computer program are provided to automatically identify electrical installations in an electrical distribution system that are likely to exhibit an electrical non-conformity (ENC). The method requires only electrical profiles collected from meters and IT tools, without the need for any other sub-metering equipment. The method includes the steps of recovering electrical profiles generated by the meters; applying algorithmic processing associated with indicators of an ENC on the profiles; and identifying electrical installations likely to exhibit an ENC, according to the indicators that have met their target conditions. The method may include the recovery of local meteorological data and nominal data related to the electrical installations to confirm or deny that the identified electrical installations are likely to be non-conforming.

Method and apparatus for controlling loads connected to a distributed energy generation system. The method and apparatus display a list of loads, load status, load control state, where the load control state is manipulated through a user interface displayed on a user device. The load control state defines the operation of a load depending upon the operational status of the distributed energy generation system.

An energy management system for an off-electric-grid solar house includes a battery pack that outputs a voltage based on load and has a linear relationship between output voltage and remaining capacity, and a solar energy power source that supplies electric power to be stored in the battery pack. One or more electric devices connected to the battery pack produce the load by drawing electric power from the battery pack. One or more sensors monitor conditions in the house. A control circuit is configured to control the one or more electric devices based on the monitored conditions and the remaining capacity in the battery pack, as the battery pack is charged by electricity from the solar energy power and discharged by load from the electric devices. The control circuit manages priority among the electric devices for changing operating status depending on remaining battery capacity.

The present disclosure describes systems and techniques that enhance effectiveness and efficiency of a contingency analysis tool that is used for studying the magnitude and likelihood of extreme contingencies and potential cascading events across a power system. The described systems and techniques include deploying the contingency analysis tool in a high-performance computing (HPC) environment and incorporating visual situational awareness approaches to allow power system engineers to quickly and efficiently evaluate multiple power system simulation models. Furthermore, the described systems and techniques include the power system contingency-analysis tool calculating and coordinating protection element settings, as well as assessing controls of the power system using small-signal nomograms, allowing power system engineers to more effectively comprehend, evaluate, and analyze causes and effects of cascading events against a topology of a power system.

A system for monitoring and analyzing electrical operating parameters of a load (10) in a electric network (20), said system comprising a smart socket (110) arranged to be placed in series between the load (10) and the electric network (20), said smart socket (110) comprising a voltage detection module arranged to measure a voltage value in the electric network (20), as an electric potential difference between the ends of the load (10), a current detection module in the electric network (20) arranged to measure a current value adsorbed by the load (10), when the load (10) is connected to the electric network (20), a control unit connected to the voltage detection module and to the current detection module. In particular, the control unit is arranged to carry out a periodic acquisition of the voltage value in said electric network (20), obtaining a voltage trend over time and a periodic acquisition of the current value adsorbed by the load (10), obtaining a current trend over time. In particular, the control unit comprises a neural network arranged to carry out a training comprising the steps of definition of a number n of events E.sub.i′ association, to each event E.sub.i′ of a number m.sub.i of patterns p.sub.ij of predetermined current and/or voltage trends, extrapolation of characteristic parameters c.sub.ik distinguishing the pattern p.sub.ij associated with the classified event E.sub.i′. The neural network is then arranged to carry out an analysis of the acquired voltage and/or current trend by the definition and the classification of possible anomalous patterns with respect to predetermined voltage and/or current trends.

System, method, and interface for visualized resource allocation and algorithms for the reallocation of resources to achieve a goal. The system analyses an initial state of resource allocation, a cost function for undesirable resources, and a set of potential incremental improvements, each with an associated cost, and determines a step-wise path of applying the incremental improvements to achieve an ultimate resource-allocation goal in an economically feasible way. Simultaneously, a user interface depicts the state of the allocation at the beginning, at the end, and along the path, allowing an intuitive understanding of how the goal will be achieved.