Siemens Industry, Inc.

Siemens Power Transmission & Distribution, Inc.

Siemens Energy, Inc.

Siemens Aktiengesellschaft

Dingguo Chen

Haso Peljto

Mike York

Ashmin Mansingh

Michael E York

Shashank Pande

Matthew Jay Mathine

Ram P Chinchali

Embodiments provide systems, apparatus, and methods for power distribution operated under automatic generation control (AGC) based on reliability based control (RBC) green zone control. Embodiments include a plurality of power generating resources operating within a control area; a plurality of power consuming loads; a power transmission network coupling the resources to the loads; and an energy management system (EMS) in communication with the resources and configured to control operation of the resources within the control area, wherein the EMS is operative to: determine a reliability based control (RBC) green zone; operate an automatic generation control (AGC) system of the EMS within the determined RBC green zone; and output electricity to the loads from the resources under the control of the AGC of the EMS operating within the RBC green zone to correct area control error (ACE). Numerous additional aspects are disclosed.

Systems, apparatus, and methods for automatic generation control enhanced with advanced reliability based control

Embodiments provide systems, methods and apparatus for improved generation control for microgrids. Embodiments include providing a microgrid management system (MGMS) having a smart generation control (SGC) system in communication with a plurality of resources and loads, wherein the resources and loads are coupled to a microgrid transmission line that is couplable to a macrogrid transmission line; performing preprocessing of the resources; determining current frequency, interchange, schedule, and area control error (ACE); monitoring and controlling the microgrid based on a system mode, a control mode, and system status; deriving a set point for active power control of resources; and transmitting control commands. Numerous other aspects are provided.

Systems, methods and apparatus for improved generation control of microgrid energy systems

Embodiments provide systems, apparatus, and methods for power distribution operated under automatic generation control (AGC) based on comprehensive control performance standard (CPS) green zone control. Embodiments include a plurality of power generating resources operating within a control area; a plurality of power consuming loads; a power transmission network coupling the resources to the loads; and an energy management system (EMS) in communication with the resources and configured to control operation of the resources within the control area. The EMS is operative to: determine a control performance standard (CPS) green zone; operate an automatic generation control (AGC) system of the EMS in the determined CPS green zone; and output electricity to the loads from the resources under the control of the AGC of the EMS operating in the green zone. Numerous additional aspects are disclosed.

Systems, apparatus, and methods for automatic generation control based on comprehensive control performance standard green zone control

Embodiments provide systems, methods and apparatus for controlling an energy delivery system including providing an energy management system (EMS) including a wind power management (WPM) system, the WPM system including a WPM application that includes a security constrained dynamic dispatch (SCDD) application; receiving input data within the SCCD application, the data including real time telemetry and dynamic unit parameters, schedule input data, and critical constraint data; validating the input data for consistency to avoid infeasibilities; pre-processing the validated input data to determine parameters including a total generation amount to be dispatched; formulating an optimization model based on the parameters and data structures storing the validated input data; executing an optimization process on the optimization model to compute a solution; post-processing the solution to determine economic basepoints; and using the determined economic basepoints in controlling operation of the energy delivery system. Numerous other aspects are provided.

Systems, methods and apparatus for improved energy management systems with security constrained dynamic dispatch for wind power management

Embodiments provide systems, methods and apparatus for controlling an energy delivery system including providing an energy management system (EMS) having a wind power management (WPM) system and using the WPM system for determining sensitivity values for a plurality of wind farms within the energy delivery system; maximizing wind power generation from the plurality of wind farms within a set of security limits defined based on the sensitivity values; minimizing wind power generation loss from the plurality of wind farms; determining wind farm security-priority groups; minimizing wind power generation production cost based on cost priority of the wind farms in each security-priority group; and minimizing wind power generation production cost based on energy bids for each wind farm in each security-priority group. Numerous other aspects are provided.

Systems, methods and apparatus for improved energy management systems with security-oriented probabilistic wind power generation dispatch

Embodiments provide systems, apparatus, and methods for power distribution during islanding conditions. Embodiments include power generating resources operating within a control area; power consuming loads; a power transmission network coupling the resources to the loads; and an energy management system in communication with the resources and configured to control operation of the resources within the control area. The energy management system is operative to divide the control area into a plurality of isolation areas in response to detecting that isolation areas have occurred within the control area, assign at least one of the resources to each of the isolation areas, disable operation of the control area, enable each of the isolation areas to operate as an island having automatic gain control, balance a generation level and load level for each isolation area, and use load frequency control to stabilize operation of each isolation area. Numerous additional aspects are disclosed.

Systems, apparatus, and methods for automatic generation control islanded operation

Embodiments provide systems, methods and apparatus for controlling an energy delivery system including providing an energy management system (EMS) having an automatic generation control (AGC) system including a load frequency control (LFC) module; executing two or more performance standard functions implemented within the LFC module using input data regarding the energy delivery system, wherein at least one of the performance standard functions is defined to be dependent upon another of the performance standard functions; and implementing corrections to the operation of the energy delivery system based upon solution results of executing the performance standard functions. Numerous other aspects are provided.

Systems, methods and apparatus for improved management and control of energy delivery systems

Embodiments provide systems, methods and apparatus for controlling an energy delivery system including providing an energy management system (EMS) having an automatic generation control (AGC) system including a load frequency control (LFC) module and an economic dispatch (ED) module; determining a regulation requirement based upon a predefined set of nested system control zones and a current area control error (ACE); determining regulation allocation based on a pre-defined set of gain factors associated with the nested system control zones; and implementing corrections to the operation of the energy delivery system based upon solution results of the determined regulation allocation. Numerous other aspects are provided.

Systems, methods and apparatus for improved regulation of energy delivery systems

A method and system for energy management in a power system. Target performance standards are calculated and used to measure performance and to comply with regulatory performance standards. The target performance standards are based on probability theory and are used to control power generation. The amount of corrective power necessary is based on the calculated target performance standards and the deviations of current performance values from the target standards.

System and method for controlling the performance of a power generating system

A method for controlling a power system control area according to a first and a second control performance standard, wherein operation of the control area determines area control parameter values. The method comprises (a) determining a first compliance target for the first performance standard and a second compliance target for the second performance standard (); (b) determining a first performance standard statistical measure responsive to the control area parameter values from a beginning of a first compliance period to a time at which the first average is determined (); (c) determining a second performance standard statistical measure responsive to the control area parameter values from a beginning of a second compliance period to a time at which the second average is determined; (d) determining a first area control parameter target responsive to the first performance standard statistical measure (); (e) determining a second area control parameter target responsive to the second performance standard statistical measure (); (f) determining a first area control parameter correction responsive to the first area control parameter target and the area control parameter values (); (g) determining a second area control parameter correction responsive to the second area control parameter target and the area control parameter values () and (h) controlling the power system according to one or both of the first and the second area control parameter corrections ().

Apparatus and method for predictive control of a power generation system

A system () and method for controlling an operation of an electrical power network () is described. The method includes configuring an allowable performance of an electrical power network over a predetermined time period as a probability expression comprising a historical term and a future term having an electrical power network operating condition variable. The method also includes calculating a network performance target value () according to the probability expression by using a historical electrical power network operating condition value for the electrical power network operating condition variable. The method further includes using the performance target value for controlling the electrical power network effective to achieve the allowable performance. The system includes a database (), a processor () coupled to the database, and a monitoring and control module () coupled to the processor.

Method and system for controlling an operation of an electrical power network

A method and system is provided for predicting loads within a power system through the training of on-line and an off-line neural networks. Load data and load increments are used with an on-line load prediction scheme to generate predicted load values to optimize power generation and minimize costs. This objective is achieved by employing a method and system which predicts short term load trends through the use of historical load data and short term load forecast data.

Load prediction based on-line and off-line training of neural networks

A method and system for dispatching available generation resources to supply a given load in a control area. Generating units are each assigned a temporal trajectory of output power over consecutive time intervals. The allocation of available resources are assigned so as to minimize costs associated with meeting changing loads.

Dynamic economic dispatch for the management of a power distribution system

A system, method, and device for identifying data sources for a neural network are disclosed. The exemplary system may have a module for determining load curves for each selected data set. The system may also have a module for determining a global difference measure and a global similarity measure for each load curve of each selected data set. The system may have a module for determining a set of data sets with lowest value global difference measure. The system may also have a module for determining a set of data sets with largest value global similarity measure. The system may also have a module for determining a union of the sets of lowest value difference measure and the sets of largest value similarity measure. The system may also have a module for determining for each set in the union one of a local similarity measure and a local difference measure and a module for selecting a set of reduced data sets based on one of the local similarity measure and the local difference measure.

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Eden Prairie, MN, United States of America

Dingguo Chen