Stochastic Seasonal Planning in Multireservoir Hydroelectric Power Systems by Differential Dynamic Programming

A first-order differential dynamic programming (DDP) algorithm is used for computing optimal control for a five-reservoir system, where the stochastic inflow process has been approximated by a few discrete disturbance values in each time step. The method is found to be faster than linear programming...

Full description

Bibliographic Details
Main Author:	Anders Gjelsvik
Format:	Article
Language:	English
Published:	Norwegian Society of Automatic Control 1982-07-01
Series:	Modeling, Identification and Control
Subjects:	Power system water resources stochastic optimization incremental water value differential dynamic programming
Online Access:	http://www.mic-journal.no/PDF/1982/MIC-1982-3-1.pdf

id	doaj-e23691f016204992a2ea8b7f7340e0d4
record_format	Article
spelling	doaj-e23691f016204992a2ea8b7f7340e0d42020-11-25T00:47:42ZengNorwegian Society of Automatic ControlModeling, Identification and Control0332-73531890-13281982-07-013313114910.4173/mic.1982.3.1Stochastic Seasonal Planning in Multireservoir Hydroelectric Power Systems by Differential Dynamic ProgrammingAnders GjelsvikA first-order differential dynamic programming (DDP) algorithm is used for computing optimal control for a five-reservoir system, where the stochastic inflow process has been approximated by a few discrete disturbance values in each time step. The method is found to be faster than linear programming, previously tried on the same system model. http://www.mic-journal.no/PDF/1982/MIC-1982-3-1.pdfPower systemwater resourcesstochastic optimizationincremental water valuedifferential dynamic programming
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Anders Gjelsvik
spellingShingle	Anders Gjelsvik Stochastic Seasonal Planning in Multireservoir Hydroelectric Power Systems by Differential Dynamic Programming Modeling, Identification and Control Power system water resources stochastic optimization incremental water value differential dynamic programming
author_facet	Anders Gjelsvik
author_sort	Anders Gjelsvik
title	Stochastic Seasonal Planning in Multireservoir Hydroelectric Power Systems by Differential Dynamic Programming
title_short	Stochastic Seasonal Planning in Multireservoir Hydroelectric Power Systems by Differential Dynamic Programming
title_full	Stochastic Seasonal Planning in Multireservoir Hydroelectric Power Systems by Differential Dynamic Programming
title_fullStr	Stochastic Seasonal Planning in Multireservoir Hydroelectric Power Systems by Differential Dynamic Programming
title_full_unstemmed	Stochastic Seasonal Planning in Multireservoir Hydroelectric Power Systems by Differential Dynamic Programming
title_sort	stochastic seasonal planning in multireservoir hydroelectric power systems by differential dynamic programming
publisher	Norwegian Society of Automatic Control
series	Modeling, Identification and Control
issn	0332-7353 1890-1328
publishDate	1982-07-01
description	A first-order differential dynamic programming (DDP) algorithm is used for computing optimal control for a five-reservoir system, where the stochastic inflow process has been approximated by a few discrete disturbance values in each time step. The method is found to be faster than linear programming, previously tried on the same system model.
topic	Power system water resources stochastic optimization incremental water value differential dynamic programming
url	http://www.mic-journal.no/PDF/1982/MIC-1982-3-1.pdf
work_keys_str_mv	AT andersgjelsvik stochasticseasonalplanninginmultireservoirhydroelectricpowersystemsbydifferentialdynamicprogramming
_version_	1725259095979589632

Stochastic Seasonal Planning in Multireservoir Hydroelectric Power Systems by Differential Dynamic Programming

Similar Items