Various implementations described herein are directed to systems and methods for managing a plurality of loads connected to a plurality of power sources using a switching apparatus. Apparatuses described herein may include multi-throw switches designed for fast and efficient switching of loads. Methods described herein may include selecting one or more loads from a group of loads to connect to one or more alternative power sources, and selecting one or more loads to connect to a main (e.g. utility) electrical grid.

A method and system to control distributed energy resources in an electric power system includes generation, storage and controllable loads. The system uses time synchronized measurements of voltage phasor and current phasors and their derivative information that may include real and reactive power to regulate and decouple both static and dynamic effects of real and reactive power flow through the local electric power system connected to the area electric power system. The method and system provides precise real and reactive power demand set point pairs; damping of real and reactive power fluctuations in the local electric power system; decoupling between real and reactive power demand response set points by means of a multivariable control system that uses time synchronized measurements of voltage and current phasors and their derivative information.

Attributes of a power system having one or more distributed energy resources are characterized by continuously receiving data comprising a power data stream having at least two components and derived from at least one distributed energy resource. A control data stream comprising at least two components is generated. An error data stream is determined based on a difference between respective components of the power data stream to components of a reference data stream comprising at least two components. The error data stream and the reference data stream are processed to generate the control data stream. The control data stream is continuously output to enable control and/or monitoring of the power flow of at least one distributed energy resource.

An uninterruptible power supply (UPS) is operated to selectively provide energy to a critical load from a grid and an energy storage device and to transfer energy between the energy storage device and the grid. A controller causes the UPS to selectively support bidirectional and unidirectional transfers of energy between the grid and the energy storage device based on a state of charge (SOC) of the energy storage device.

The present disclosure relates to systems and methods for balancing electrical generation and electrical demand in an electrical power system. In various embodiments, a controller may receive priority designations associated with a plurality of loads and inertia of a plurality of electrical generators. A trigger event analysis subsystem may detect a trigger event based on electrical conditions at a plurality of nodes within the electrical power system. A topology detection subsystem may identify a first subset of the plurality of nodes at which electrical conditions reflect the first trigger event and may associate those nodes in an electrical island. An electrical balancing system and control system may be configured to determine and eliminate an imbalance between electrical generation and electrical demand based on the combined inertia of the subset of the plurality of electrical generators and the plurality of priority designations associated with the subset of the plurality of loads.

An electric power generation system and a method in an electric power generation system. The system comprising one or more generators for producing electrical energy, each generator being arranged to be driven with a corresponding prime mover, wherein the generators are multiphase AC generators adapted to generate a multiphase voltage having a frequency and an amplitude, the phase outputs of the generators are connectable to a common multiphase bus for distributing the electrical energy generated by the AC generators, the system comprises further means for providing independent reference values for a rotational speed of the prime movers and for amplitude of the multiphase voltage, the rotational speed of the prime movers defining the frequency of the multiphase voltage, and the system is adapted to operate in at least three operation points on the basis of the provided independent reference values, an operation point being defined by a ratio of the amplitude of the multiphase voltage to the frequency of the multiphase voltage, wherein the at least three operation points are different.

A method for operating a wind farm having a string (S1-S3) of wind turbines (100-100d) which are electrically connectable with each other and a grid (510, 550) via power connections (Cab-Cd) is disclosed. Each wind turbine includes a rotor (106) with rotor blades (108), and a power conversion system (118, 210, 238) mechanically connected with the rotor (106). The method includes disconnecting the string (S1-S3) from the grid (510, 550), and identifying a primary wind turbine (100a, 100c) of the disconnected string (S1-S3) which is electrically connectable with at least one secondary wind turbine (100b-10d) of the disconnected string (S1-S3). The power conversion system (118, 210, 238) of the primary wind turbine (100a, 100c) includes a reactive power capability (RPC) that at least matches a reactive power (RP) of a cluster (C1, C11, C12) to be formed by electrically connecting the primary wind turbine (100a, 100c) with the at least one secondary wind turbine (100b-100d) of the disconnected string (S1-S3).

A charging/discharging control system of an energy storage apparatus includes a weather information collection module, a load information collection module, a load grouping module which classifies a plurality of loads into at least one load group based on a load correlation according to a predetermined condition, and an energy storage apparatus charging/discharging control module which determines a battery charging or discharging level per time slot of each of a plurality of energy storage apparatuses by using at least one of an estimated load amount of each load per time slot, a battery charging amount of the energy storage apparatus per time slot via solar generation, and a battery charging amount per time slot via system power, wherein a particular load corresponding to a lowest rate for a unit load is determined by using battery charging/discharging information and power rate information per time slot.

A computer-implemented method and system is provided. The system adaptively switches prediction strategies to optimize time-variant energy demand and consumption of built environments associated with renewable energy sources. The system analyzes a first, second, third, fourth and a fifth set of statistical data. The system derives of a set of prediction strategies for controlled and directional execution of analysis and evaluation of a set of predictions for optimum usage and operation of the plurality of energy consuming devices. The system monitors a set of factors corresponding to the set of prediction strategies and switches a prediction strategy from the set of derived prediction strategies. The system predicts a set of predictions for identification of a potential future time-variant energy demand and consumption and predicts a set of predictions. The system manipulates an operational state of the plurality of energy consuming devices and the plurality of energy storage and supply means.

The present disclosure provides a computer-implemented method for ranking one or more control schemes for controlling peak loading conditions and abrupt changes in energy pricing of one or more built environments associated with renewable energy sources. The computer-implemented method includes analysis of a first set of statistical data, a second set of statistical data, a third set of statistical data, a fourth set of statistical data and a fifth set of statistical data. Further, the computer-implemented method includes identification and execution of the one or more control schemes. In addition, the computer-implemented method includes scoring the one or more control schemes by evaluating a probabilistic score. Further, the computer-implemented method includes ranking the one or more control schemes to determine relevant control schemes for controlling real time peak loading conditions and abrupt changes in energy pricing associated with the one or more built environments.