Evaluation of the parameterization-simulation-optimization approach for the control of reservoir systems

Koutsoyiannis, D; Economou, A

dc.contributor.author	Koutsoyiannis, D	en
dc.contributor.author	Economou, A	en
dc.date.accessioned	2014-03-01T01:18:58Z
dc.date.available	2014-03-01T01:18:58Z
dc.date.issued	2003	en
dc.identifier.issn	0043-1397	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15288
dc.subject	Hydropower	en
dc.subject	Optimal control	en
dc.subject	Optimization	en
dc.subject	Parameterization	en
dc.subject	Reservoir systems	en
dc.subject	Simulation	en
dc.subject	Water resource systems	en
dc.subject.classification	Environmental Sciences	en
dc.subject.classification	Limnology	en
dc.subject.classification	Water Resources	en
dc.subject.other	Benchmarking	en
dc.subject.other	Computational methods	en
dc.subject.other	Computer simulation	en
dc.subject.other	Hydrology	en
dc.subject.other	Optimal control systems	en
dc.subject.other	Optimization	en
dc.subject.other	Control variables	en
dc.subject.other	Parameterization	en
dc.subject.other	Reservoirs (water)	en
dc.subject.other	control system	en
dc.subject.other	hydroelectric power	en
dc.subject.other	optimization	en
dc.subject.other	parameterization	en
dc.subject.other	reservoir	en
dc.subject.other	water resource	en
dc.title	Evaluation of the parameterization-simulation-optimization approach for the control of reservoir systems	en
heal.type	journalArticle	en
heal.identifier.primary	10.1029/2003WR002148	en
heal.identifier.secondary	http://dx.doi.org/10.1029/2003WR002148	en
heal.identifier.secondary	1170	en
heal.language	English	en
heal.publicationDate	2003	en
heal.abstract	[1] Most common methods used in optimal control of reservoir systems require a large number of control variables, which are typically the sequences of releases from all reservoirs and for all time steps of the control period. In contrast, the less widespread parameterization-simulation-optimization (PSO) method is a low-dimensional method. It uses a handful of control variables, which are parameters of a simple rule that is valid through the entire control period and determines the releases from different reservoirs at each time step. The parameterization of the rule is linked to simulation of the reservoir system, which enables the calculation of a performance measure of the system for given parameter values, and nonlinear optimization, which enables determination of the optimal parameter values. To evaluate the PSO method and, particularly, to investigate whether the radical reduction of the number of control variables might lead to inferior solutions or not, we compare it to two alternative methods. These methods, namely, the high-dimensional perfect foresight method and the simplified "equivalent reservoir'' method that merges the reservoir system into a single hypothetical reservoir, determine "benchmark'' performance measures for the comparison. The comparison is done both theoretically and by investigation of the results of the PSO against the benchmark methods in a large variety of test problems. Forty-one test problems for a hypothetical system of two reservoirs are constructed and solved for comparison. These refer to different objectives (maximization of reliable yield, minimization of cost, maximization of energy production), water uses (irrigation, water supply, energy production), characteristics of the reservoir system and hydrological scenarios. The investigation shows that PSO yields solutions that are not inferior to those of the benchmark methods and, simultaneously, it has several theoretical, computational, and practical advantages.	en
heal.publisher	AMER GEOPHYSICAL UNION	en
heal.journalName	Water Resources Research	en
dc.identifier.doi	10.1029/2003WR002148	en
dc.identifier.isi	ISI:000184596600006	en
dc.identifier.volume	39	en
dc.identifier.issue	6	en
dc.identifier.spage	WES21	en
dc.identifier.epage	WES217	en