Techniques are disclosed for providing a variable output micro-grid frequency in order to cause loads and producers coupled to a micro-grid to change operating modes/behaviors accordingly. For example, the utility frequency delivered via the micro-grid may be used as a control signal for the purposes of demand response, e.g., increasing or decreasing load, energy storage control, e.g., to cause storage of energy or the discharging of energy, and generator output curtailment as is mandated by generator interconnection standards such as UL1741 for output power curtailment under high frequency.

Methods, systems, and controllers are described herein for controlling an electrical power system. A time-synchronized measurement of a phasor from one or more phasor measurement units is fed back to a feedback controller. Distributed energy resources of the electrical power system are controlled by the feedback controller using feedback control algorithms by sending, to distributed energy resources, a power setpoint derived from the time-synchronized measurement of the phasor.

An improvement to a utility (U) meter's (M) meter reading schema. The improvement includes a device (D) responsive to a native language with which a meter is programmed to convert communications to and from the meter from that native language into a neutral language. The neutral language is convertible by other meters programmed with different native languages into the native language of a particular meter for meters programmed with different native languages can communicate with each other. This allows facilities within a localized area of a utility's power grid (G) to form into a micro-grid (MG) in which meters programmed with the same or different native languages can communicate with each other without having communications between them routed through a central location of the utility.

An improved method for sharing power between multiple battery energy storage systems (BESS) connected to a common DC network having a nominal voltage wherein the current from each BESS is regulated based upon a voltage-current characteristic which defines an output current which increases linearly in a predetermined ratio as the measured system voltage decreases. The predetermined ratio is constant in respect of each BESS. The output current of each BESS varies based upon an external signal that varies with the state of charge of the BESS.

The invention relates to a method for real-time scheduling of multi-energy complementary micro-grids based on a Rollout algorithm, which is technically characterized by comprising the following steps of: Step 1, setting up a moving-horizon Markov decision process model for the real-time scheduling of the multi-energy complementary micro-grids with random new-energy outputs, and establishing constraint conditions for the real-time scheduling; Step 2, establishing a target function of the real-time scheduling; Step 3, dividing a single complete scheduling cycle into a plurality of scheduling intervals, and finding one basic feasible solution meeting the constraint conditions for the real-time scheduling based on a greedy algorithm; and Step 4, finding a solution to the moving-horizon Markov decision process model for the real-time scheduling of the multi-energy complementary micro-grids by using the Rollout algorithm based on the basic feasible solution from Step 3. With the consideration of the fluctuations in the new-energy outputs, the present invention solves the problems of low speed and low efficiency of a traditional algorithm at the same time, enabling high-speed efficient multi-energy complementary micro-grid real-time scheduling.

Energy supply system includes at least one local energy supply unit, at least one local energy consumption unit at least one local energy store, and a control unit which controls the energy consumption, by the at least one local energy consumption unit of the energy supply system, of the volume of energy generated by the at least one local energy generation unit, and the volume of energy stored in the at least one energy storage unit. After detecting at least one predictable future event which will influence the volume of energy generable by the energy consumption units and/or the volume of energy which can be drawn from the energy supply network and/or the volume of energy consumed by the energy consumption units, the control unit dynamically adapts an energy reserve, stored in the at least one local energy store, as a function of the detected events.

A target function is optimized in the predictive operational planning in a microgrid with a connection to a main electricity grid. The target function takes into account a power draw of the microgrid from the main electricity grid in at least one high-load time window of the main electricity grid.

A medium-high voltage energy conversion system, and a control method and a controller therefor are provided. In the control method, an operation state of the medium-high voltage energy conversion system is acquired. In a case that the system is in a normal operation state, the system is controlled to operate in a first direct circuit current source mode. In a case that the system is in a first fault state in which a direct current grid voltage drops, the system is controlled to operate in a direct current voltage source mode. In a case that the system is in a second fault state in which a direct current grid voltage is in an overvoltage state, the system is controlled to operate in a second direct circuit current source mode.

An energy warehouse comprising a plurality of energy storage units and switches, and connected to at least one microgrid and at least one bulk power system may be used in connection with an energy management system for the effectuation of power storage and power wheeling. Pursuant to a plurality of inputs transmitted from the energy storage units, microgrid(s), and bulk power system(s) to the energy management system, economical and sustainable power management between the energy warehouse, microgrid(s), and bulk power system(s) may be governed according to applicable operating scenarios as determined by an optimization procedure performed by said energy management system.

A method for designing feedforward and feedback controllers for integration of stochastic sources and loads into a nonlinear networked AC/DC microgrid system is provided. A reduced order model for general networked AC/DC microgrid systems is suitable for HSSPFC control design. A simple feedforward steady state solution is utilized for the feedforward controls block. Feedback control laws are provided for the energy storage systems. A HSSPFC controller design is implemented that incorporates energy storage systems that provides static and dynamic stability conditions for both the DC random stochastic input side and the AC random stochastic load side. Transient performance was investigated for the feedforward/feedback control case. Numerical simulations were performed and provided power and energy storage profile requirements for the networked AC/DC microgrid system overall performance. The HSSPFC design can be implemented in the Matlab/Simulink environment that is compatible with real time simulation/controllers.