Abstract: Embodiments of the disclosure relate to methods and systems for modeling, controlling and computer-platform implementation of a Synthetic Reserve Provisioning System (SRPS) needed to aggregate and integrate small devices closer to consumers, referred to as Distributed Energy Resources (DERs). This know-how is based on data-driven physics-based modeling and it supports the dispatch and scheduling of DERs so that they can participate in system level provision of electricity service. An SRPS generally comprises multiple levels of consumer aggregators (Synthetic Reserve Provisioning (SRP) modules) which interact by exchanging well-defined information about provable consumer characteristics and their own loading and pricing conditions. Three different SRPS designs are described. They differ with respect to implementation requirements for communications, control, technical and economic risks assumed by different SRP modules.

Abstract: Embodiments of the disclosure relate to methods and systems for modeling, controlling and computer-platform implementation of a Synthetic Reserve Provisioning System (SRPS) needed to aggregate and integrate small devices closer to consumers, referred to as Distributed Energy Resources (DERs). This know-how is based on data-driven physics-based modeling and it supports the dispatch and scheduling of DERs so that they can participate in system level provision of electricity service. An SRPS generally comprises multiple levels of consumer aggregators (Synthetic Reserve Provisioning (SRP) modules) which interact by exchanging well-defined information about provable consumer characteristics and their own loading and pricing conditions. Three different SRPS designs are described. They differ with respect to implementation requirements for communications, control, technical and economic risks assumed by different SRP modules.

Abstract: The present disclosure relates to distributed line flow processing for a network having nodes with branches coupling adjacent ones of the nodes and components coupled to the nodes. In one embodiment, the disclosed process includes receiving an objective function having component variables, nodal output variables and branch flow variables for the network. Next, the component variables, nodal output variables and branch flow variables are initialized with initial values, and then values for the branch flow variables are calculated using a distributed Newton method. Finally, values for the component variables and the nodal output variables are calculated using values calculated for the branch flow variables until the values of the component variables, the nodal output variables, and the branch flow variables converge within a predetermined threshold range.

Abstract: The present disclosure relates to distributed line flow processing for a network having nodes with branches coupling adjacent ones of the nodes and components coupled to the nodes. In one embodiment, the disclosed process includes receiving an objective function having component variables, nodal output variables and branch flow variables for the network. Next, the component variables, nodal output variables and branch flow variables are initialized with initial values, and then values for the branch flow variables are calculated using a distributed Newton method. Finally, values for the component variables and the nodal output variables are calculated using values calculated for the branch flow variables until the values of the component variables, the nodal output variables, and the branch flow variables converge within a predetermined threshold range.

Abstract: A tie-line control system and method. Tie-line flow control among selling entities is facilitated by an entity implementing transmission contracts for purchasing entities. The entity will execute the steps of receiving request bid curves for inter-regional transactions from selling entities; receiving demand bid curves for inter-regional transactions from purchasing entities; synchronizing the bid curves at a selected time interval; between synchronizing times, iterating information with the selling and purchasing entities to ensure clearing of supply and demand bids at a clearing time so that tie-line real and reactive power flows on the tie-lines interconnecting the selling entities are the same; communicating to the selling and purchasing entities accepted tie-line flow quantities and corresponding prices at the clearing time; and ensuring that all inter-regional transactions clear as agreed upon in the previous synchronized interval.

Abstract: A power utility system includes a generator driven by a prime mover in response to a mechanical input power and an excitation to provide an electrical output power. The excitation of the generator is controlled in response to an estimated equilibrium rotor angle. The estimation of the rotor angle is based on purely local measurements. This estimated rotor angle is used in conjunction with a feedback linearizing controller to provide field excitation control of the generator. The rotor angle reference signal is also used to provide a rotor angle error signal to a power system stabilizer which is modified to operate on the basis of an angle error rather than a speed or frequency error.