Title :
Generating peaking unit operating characteristics
Author :
Koval, Don O. ; Chowdhury, Ali A.
Author_Institution :
Dept. of Electr. Eng., Alberta Univ., Edmonton, Alta., Canada
Abstract :
The operation of peaking generating units can be characterized by the frequency and duration of their operating and nonoperating states and the transitions between these states. The operating and nonoperating states of peaking generating units can vary significantly depending upon their dynamic interactive role within a power system configuration and the numerous constraints limiting their continuous operation. Based on the Canadian Electrical Association´s and Alberta Power Limited´s data collection systems, which define various mutually exclusive available and nonavailable states, this paper, presents the results of a statistical analysis of the states of continuous operation of several peaking generating units over a period of nine years. The significance of these operational patterns and their statistical characteristics and the implications for assessing the reliability of peaking generating units are discussed and referenced in detail. Based on a historical analysis of generator unit outage statistics, answers to many questions posed by utility personnel are addressed and discussed in some detail. Answers to these questions can have a significant impact on generation capacity planning and operating studies. This paper focuses on state transitions between reserve shut down states and operating states and generator starting characteristics
Keywords :
electric generators; electric power generation; load management; power system planning; power system reliability; starting; Alberta Power Limited; Canadian Electrical Association; data collection systems; dynamic interactive role; gas peaking turbine unit; generation capacity planning; generator starting characteristics; nonoperating states; operating characteristics; peaking generating units; power system configuration; reserve shut down states; statistical analysis; Character generation; Frequency; Industry Applications Society; Power engineering and energy; Power generation; Power system analysis computing; Power system dynamics; Power system modeling; Statistical analysis; Turbines;
Journal_Title :
Industry Applications, IEEE Transactions on