Abstract: A method and apparatus for resolving energy imbalance in a real-time manner is disclosed. A plurality of market user interfaces are coupled to an imbalance engine which determines optimal dispatch requirements corresponding to supply and demand requirements of the market participants. The imbalance engine resolves in a real-time manner the dispatch requirements while considering the transmission limitations, ramping limitations, transmission facilities, and price data.

Abstract: The present invention is a method for optimizing security constrained unit commitment in the day ahead wholesale electricity market using mixed integer linear programming techniques. The wholesale electricity market uniquely requires the submission of offers to supply energy and ancillary services at stated prices, as well as bids to purchase energy, and known operating and security constraints. The present invention address the above noted needs by providing a SCUC engine to support and implement the requirements via a computer system implementation.

Abstract: The present invention is a method for optimizing security constrained unit commitment in the day ahead wholesale electricity market using mixed integer linear programming techniques. The wholesale electricity market uniquely requires the submission of offers to supply energy and ancillary services at stated prices, as well as bids to purchase energy, and known operating and security constraints. The present invention address the above noted needs by providing a SCUC engine to support and implement the requirements via a computer system implementation.

Abstract: The present invention is a method for optimizing security constrained unit commitment in the day ahead wholesale electricity market using mixed integer linear programming techniques. The wholesale electricity market uniquely requires the submission of offers to supply energy and ancillary services at stated prices, as well as bids to purchase energy, and known operating and security constraints. The present invention address the above noted needs by providing a SCUC engine to support and implement the requirements via a computer system implementation.

Abstract: The present invention is a method for optimizing security constrained unit commitment in the day ahead wholesale electricity market using mixed integer linear programming techniques. The wholesale electricity market uniquely requires the submission of offers to supply energy and ancillary services at stated prices, as well as bids to purchase energy, and known operating and security constraints. The present invention address the above noted needs by providing a SCUC engine to support and implement the requirements via a computer system implementation.

Abstract: A method and apparatus for resolving energy imbalance in a real-time manner is disclosed. A plurality of market user interfaces are coupled to an imbalance engine which determines optimal dispatch requirements corresponding to supply and demand requirements of the market participants. The imbalance engine resolves in a real-time manner the dispatch requirements while considering the transmission limitations, ramping limitations, transmission facilities, and price data.

Abstract: A system for providing an automated, on-line forward market for the exchange and scheduling of electrical power and for the auctioning of fixed transmission rights (FTRs) on a power generation and distribution system. The system provides an on-line interface to multiple, remotely located market participants who can offer to buy or sell energy for next-day scheduling. Settlement of scheduled transactions can be done on a day-ahead as well as on a real-time basis. Scheduled transactions can also be modified on an hour-ahead basis. The market participants can also take part in a monthly auction of FTRs. The market system operates in conjunction with the control facilities of the power system. Both the day-ahead market and the FTR auction are carried out by the system as part of a process which ensures the secure and efficient operation of the power system.

Abstract: A method and apparatus for resolving energy imbalance in a real-time manner is disclosed. A plurality of market user interfaces are coupled to an imbalance engine which determines optimal dispatch requirements corresponding to supply and demand requirements of the market participants. The imbalance engine resolves in a real-time manner the dispatch requirements while considering the transmission limitations, ramping limitations, transmission facilities, and price data.

Abstract: A method and apparatus for resolving energy imbalance in a real-time manner is disclosed. A plurality of market user interfaces are coupled to an imbalance engine which determines optimal dispatch requirements corresponding to supply and demand requirements of the market participants. The imbalance engine resolves in a real-time manner the dispatch requirements while considering the transmission limitations, ramping limitations, transmission facilities, and price data.

Abstract: Certain exemplary embodiments comprise a method for transforming a raw set of electrical power generation process data associated with a first physical storage space into a representation of the raw set. The representation of the raw set can be associated with a second physical storage space that is smaller than the first physical storage space. The method can comprise receiving a non-zero user-specified deviation metric relating to the raw set of electrical power generation process data. The method can comprise automatically calculating a deviation measure of at least three data points from the raw set, the at least three data points comprising an opposing pair of end points. The method can comprise automatically comparing the deviation measure to the deviation metric. The method can comprise automatically deleting all data points intermediate to the opposing pair of end points if the deviation measure does not exceed the deviation metric.

Abstract: Certain exemplary embodiments comprise a method for transforming a raw set of electrical power generation process data associated with a first physical storage space into a representation of the raw set. The representation of the raw set can be associated with a second physical storage space that is smaller than the first physical storage space. The method can comprise receiving a non-zero user-specified deviation metric relating to the raw set of electrical power generation process data. The method can comprise automatically calculating a deviation measure of at least three data points from the raw set, the at least three data points comprising an opposing pair of end points. The method can comprise automatically comparing the deviation measure to the deviation metric. The method can comprise automatically deleting all data points intermediate to the opposing pair of end points if the deviation measure does not exceed the deviation metric.

Abstract: Analog data is compressed by processing certain data from data storage and interpolating data between data points which fall within an acceptable error range. Data points are compressed by modifying or eliminating data depending upon the slope relationship of a stored data point to artificial data points, which are representative of the range of accepted deviations from the original data point.

Abstract: The present invention is a method for optimizing security constrained unit commitment in the day ahead wholesale electricity market using mixed integer linear programming techniques. The wholesale electricity market uniquely requires the submission of offers to supply energy and ancillary services at stated prices, as well as bids to purchase energy, and known operating and security constraints. The present invention address the above noted needs by providing a SCUC engine to support and implement the requirements via a computer system implementation.

Abstract: The present invention is a method for optimizing security constrained unit commitment in the day ahead wholesale electricity market using mixed integer linear programming techniques. The wholesale electricity market uniquely requires the submission of offers to supply energy and ancillary services at stated prices, as well as bids to purchase energy, and known operating and security constraints. The present invention address the above noted needs by providing a SCUC engine to support and implement the requirements via a computer system implementation.

Abstract: The present invention is a method for optimizing security constrained unit commitment in the day ahead wholesale electricity market using mixed integer linear programming techniques. The wholesale electricity market uniquely requires the submission of offers to supply energy and ancillary services at stated prices, as well as bids to purchase energy, and known operating and security constraints. The present invention address the above noted needs by providing a SCUC engine to support and implement the requirements via a computer system implementation.

Abstract: The present invention is a method for optimizing security constrained unit commitment in the day ahead wholesale electricity market using mixed integer linear programming techniques. The wholesale electricity market uniquely requires the submission of offers to supply energy and ancillary services at stated prices, as well as bids to purchase energy, and known operating and security constraints. The present invention address the above noted needs by providing a SCUC engine to support and implement the requirements via a computer system implementation.

Abstract: A Security-Constrained Optimal Power Flow (SCOPF) process employing a quadratic programming (QP) primal-dual interior point (IP) solution method. The IP method efficiently solves practical SCOPF problems involving large numbers of contingencies and controls in preventive and preventive/corrective operating modes. An EMS system is described incorporating the inventive SCOPF process. The SCOPF process can be used in a variety of additional arrangements including a locational marginal pricing scheme and a power transmission rights auction system. An infeasibility detection method is also described.

Abstract: A method and apparatus for resolving energy imbalance in a real-time manner is disclosed. A plurality of market user interfaces are coupled to an imbalance engine which determines optimal dispatch requirements corresponding to supply and demand requirements of the market participants. The imbalance engine resolves in a real-time manner the dispatch requirements while considering the transmission limitations, ramping limitations, transmission facilities, and price data.

Abstract: A method and apparatus for resolving energy imbalance in a real-time manner is disclosed. A plurality of market user interfaces are coupled to an imbalance engine which determines optimal dispatch requirements corresponding to supply and demand requirements of the market participants. The imbalance engine resolves in a real-time manner the dispatch requirements while considering the transmission limitations, ramping limitations, transmission facilities, and price data.

Abstract: A method and apparatus for resolving energy imbalance in a real-time manner is disclosed. A plurality of market user interfaces are coupled to an imbalance engine which determines optimal dispatch requirements corresponding to supply and demand requirements of the market participants. The imbalance engine resolves in a real-time manner the dispatch requirements while considering the transmission limitations, ramping limitations, transmission facilities, and price data.