Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Certain exemplary embodiments provide a method comprising: for an electrical power system comprising a plurality of committed electrical power generating units: for each of the committed electrical power generating units, obtaining an optimal power output temporal trajectory, the optimal power output temporal trajectory constrained by a ramping limit of the committed electrical power generating unit; obtaining an optimal power reserve temporal trajectory for each of the committed electrical power generating units; and assigning each of the optimal power output temporal trajectories to the respective electrical power generating units so that, over a predetermined consecutive set of time intervals, an integrated cost of system power output is minimized and a system reserve requirement is met.

Abstract: A method and system is provided for optimizing the performance of a power generation and distribution system by forecasting very short term load forecasts through the use of historical load data, demand patterns and short term load forecasts.

Abstract: 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.

Abstract: A system (400) and method for controlling an operation of an electrical power network (420) 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 (300) 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 (406), a processor (404) coupled to the database, and a monitoring and control module (410) coupled to the processor.

Abstract: 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.

Abstract: 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.

Abstract: A method and system is provided for optimizing the performance of a power generation and distribution system that monitors the performance of a power system, detects disturbances and calculates statistical information, uses historical performance data and economic factors to analyze and control the production of power. Load demands are predicted by utilizing very short term load forecasts that are based on historical load data, demand patterns and short term load forecasts. Generating units are each assigned a temporal trajectory of output power over consecutive time intervals. The allocation of available resources is assigned so as to minimize costs associated with meeting changing loads.

Abstract: Certain exemplary embodiments provide a method comprising: providing system electrical load information for an electric power system to one or more neural networks; and via the one or more neural networks, predicting a system electrical load for a predetermined immediate future period.

Abstract: 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.

Abstract: 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.

Abstract: A method and system is provided for optimizing the performance of a power generation and distribution system that monitors the performance of a power system, detects disturbances and calculates statistical information, uses historical performance data and economic factors to analyze and control the production of power. Load demands are predicted by utilizing very short term load forecasts that are based on historical load data, demand patterns and short term load forecasts. Generating units are each assigned a temporal trajectory of output power over consecutive time intervals. The allocation of available resources is assigned so as to minimize costs associated with meeting changing loads.

Abstract: Certain exemplary embodiments provide a method comprising: for an electrical power system comprising a plurality of committed electrical power generating units: for each of the committed electrical power generating units, obtaining an optimal power output temporal trajectory, the optimal power output temporal trajectory constrained by a ramping limit of the committed electrical power generating unit; obtaining an optimal power reserve temporal trajectory for each of the committed electrical power generating units; and assigning each of the optimal power output temporal trajectories to the respective electrical power generating units so that, over a predetermined consecutive set of time intervals, an integrated cost of system power output is minimized and a system reserve requirement is met.

Abstract: Certain exemplary embodiments provide a method comprising: providing system electrical load information for an electric power system to one or more neural networks; and via the one or more neural networks, predicting a system electrical load for a predetermined immediate future period.

Abstract: A method and system is provided for optimizing the performance of a power generation and distribution system by forecasting very short term load forecasts through the use of historical load data, demand patterns and short term load forecasts.