NDLI: Optimal regulation control system for cascade hydropower stations

Content Provider	IEEE Xplore Digital Library
Author	Rui Jun Chen Shou-lun
Copyright Year	2009
Description	Author affiliation: Hydropower Engineering College, Hohai University, China (Chen Shou-lun) \|\| National Engineering Research Center of Water Resources, Efficient Utilization & Engineering Safety, Hohai University, China (Rui Jun)
Abstract	A complex optimal regulation control system with three-layer structure is developed for cascade hydropower stations, including from top to bottom optimal regulation control layer, automatic water regime measuring and generation supervisor layer, economical dispatching control and automatic generation control layer. After three optimal rules of maximum generation, maximum energy reservation, and minimum level violation are analyzed, three corresponding mathematical models are established. Based on the analysis and application of different optimization algorithms, the advanced dynamic programming is suggested to be used in optimal regulation control of cascade hydropower stations. Applications in the Wu River have demonstrated that optimal regulation control can greatly improve economic benefit and management level. Other cascade hydropower stations that are carrying out or will carry out optimal regulation control can use the experience for reference.
Starting Page	1
Ending Page	5
File Size	231802
Page Count	5
File Format	PDF
ISBN	9781424449347
DOI	10.1109/SUPERGEN.2009.5347952
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Heuristic algorithms Hydroelectric power generation Optimization methods Power generation economics Control systems Optimal control Automatic generation control Automatic control Manufacturing scheduling Dispatching Mathematical model Cascade Power plants
Content Type	Text
Resource Type	Article

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