Abstract:
The present invention is concerned with the operation of a battery energy storage system (BESS) connected to an electric power system. The upper and lower state-of-charge (SoC) set-points of the BESS are adapted based on the analysis of the historical frequency data of the power system. A time dependent modulation function is determined for the upper and lower SoC set-points which avoids unwanted charging and discharging events.
Abstract:
The invention concerns a method and an apparatus for adapting at least one set of parameters to at least one Intelligent Electronic Device (IED) of an electrical power network having a plurality of switching devices (CB), comprising: a) reading the current network status of the electrical power network, wherein the network status includes the status of the plurality of switching devices (CB); b) simulating at least one network fault (F) in the electrical power network; c) deducing at least one new set of parameters for the at least one Intelligent Electronic Device using a simulated fault current induced by the at least one simulated network fault under consideration of the current network status and the network topology of the electrical power network; d) setting the at least one set of parameters in at least one of the at least one Intelligent Electronic Device. Further, the invention concerns an apparatus and a method for adapting at least one set of parameters to at least one Intelligent Electronic Device (IED) of an electrical power network having a plurality of switching devices (CB), comprising: a) reading the current network status of the electrical power network, wherein the network status includes the status of the plurality of switching devices (CB); b) selecting the at least one set of parameters for the at least one Intelligent Electronic Device out of a plurality of sets of parameters depending of the current network status; c) setting the at least one set of parameters in the at least one Intelligent Electronic Device.
Abstract:
The invention provides an apparatus for emulation of a power system, the apparatus comprising a plurality of programmable elements, selectively connectable to one another; each programmable element comprising: at least two elements selected from the group consisting of a generator element, a line element and a load element; and a programmable switch element, operable to connect selectively the at least two elements of each programmable element to one another, and to connect selectively the programmable element to one or more other programmable elements. Also provided is a system for emulating a power system incorporating such apparatus.
Abstract:
An electrical grid 10 is connected to a plurality of loads 24a, 24b and to at least two electrical energy sources 14, 22a, 22b and is divided into segments 20a, 20b by switches 18a, 18b. When controlling the electrical grid 10 a load power and an supply power for each segment 20a, 20b is determined, an island 28a, 28b of the electrical grid 10 comprising at least one segment 20a, 20b, wherein an load power and an supply power is approximately balanced in the island 28a, 28b is determined and switches 18a, 18b isolating the island 28a, 28b from the remaining electrical grid 10 are opened.
Abstract:
The present invention is concerned with electrical power distribution. A distributed energy source 32 is adapted to transmit its actual power generation to the power grid 14. Dependent on the load state and the power generation, the charging power of a battery 18 of an electrical vehicle 12b is constrained such that not more than the actual available power from the distributed energy source 32 is withdrawn from the power grid 14.
Abstract:
The present invention is concerned with the operation of a energy storage system (ESS) connected to an electric power system. The optimisation of the charging-discharging schedule of the ESS is achieved through application of a time-dependent forecast of ESS and power system states based on historical data. This invention is particularly relevant to ESSs which have been historically activated with a certain periodicity, for example, for the purposes of power system load leveling, frequency regulation, arbitrage, peak load shaving or integration of renewable power generation.
Abstract:
A method for controlling an energy storage system is described. The method makes use of a model based predictive controller to optimise the charging/discharging rates of energy storage elements in a hybrid energy storage system.
Abstract:
A method for detecting islanding conditions of a distributed grid, wherein transfer of power through a power electrical unit is controlled on the basis of a control reference and the method comprises a first stage and a second stage. The first stage comprises injecting a reactive component to the control reference, and, for at least one electrical quantity of the grid, determining a change in the quantity induced by the injected component, and determining, on the basis of the change in the electrical quantity, whether or not to move to the second stage of the method. The second stage comprises, for at least one electrical quantity of the grid, determining a value of the electrical quantity, forming a positive feedback term using at the determined value adding a positive feedback term to the control reference, determining a change in an electrical quantity induced by the feedback term, and determining islanding condition on the basis of the change in the quantity induced by the feedback term.