Application of ANN-SCE model on the evaluation of automatic generation control performance

Le Ren Chang-Chien, Chien Sheng Lo, Ko Shien Lee

Research output: Contribution to journalConference articlepeer-review


Under open access of transmission grid and unbundling of generation in the deregulated electricity market, frequency regulation is considered as ancillary service to balance minute to minute generation and demand. To ensure the reliability and quality of regulation are well maintained, a fair evaluation of load frequency control (LFC) performance and responsibilities between providers and customers has become a major concern. This paper demonstrates the features of Artificial-Neural-Network based System Control Error (ANN-SCE) model in tracking a single area's AGC dynamics, in gauging various impacts on the performance of AGC, and in identifying system dynamics that may be further used as a control reference in supplementing AGC logic.

Original languageEnglish
Article number465-135
Pages (from-to)121-126
Number of pages6
JournalSeries on Energy and Power Systems
Publication statusPublished - 2005 Dec 1
EventIASTED International Conference on Energy and Power Systems, EPS 2005 - Krabi, Thailand
Duration: 2005 Apr 182005 Apr 20

All Science Journal Classification (ASJC) codes

  • Engineering(all)


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