Combined grey relational analysis/differential dynamic programming for short‐term hydro generation scheduling
作者:
Ruey‐Hsun Liang,
期刊:
Journal of the Chinese Institute of Engineers
(Taylor Available online 1998)
卷期:
Volume 21,
issue 6
页码: 751-760
ISSN:0253-3839
年代: 1998
DOI:10.1080/02533839.1998.9670433
出版商: Taylor & Francis Group
关键词: hydro generation scheduling;grey relational analysis;differential dynamic programming
数据来源: Taylor
摘要:
In this paper, a combined grey relational analysis/differential dynamic programming approach for short‐term hydro generation scheduling is proposed. The purpose of short‐term hydro scheduling is to find the optimal amount of generated power for the hydro units in the system for the nextN(N=24in this study) hour. In the proposed method, the differential dynamic programming procedures are performed offline on historical load data. The results are compiled and valuable information is obtained by using grey relational analysis. Using the information obtained from the analysis, the differential dynamic programming algorithm is then performed online to give the hydro generation schedule for the forecast load. The effectiveness of the proposed approach is demonstrated by the short‐term hydro generation scheduling of the Taiwan power system, which consists of ten hydro plants. It is concluded from the results that the proposed approach can significantly reduce the execution time of the conventional differential dynamic programming algorithm when determining proper hydro generation schedules.
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