Simulation and size optimization of a pumped-storage power plant for the recovery of wind-farms rejected energy

Anagnostopoulos, JS; Papantonis, DE

dc.contributor.author	Anagnostopoulos, JS	en
dc.contributor.author	Papantonis, DE	en
dc.date.accessioned	2014-03-01T01:29:12Z
dc.date.available	2014-03-01T01:29:12Z
dc.date.issued	2008	en
dc.identifier.issn	0960-1481	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/19152
dc.subject	optimum sizing	en
dc.subject	pumped-storage plant	en
dc.subject	wind-hydro power generation	en
dc.subject	autonomous electric grids	en
dc.subject	energy storage	en
dc.subject	wind energy penetration	en
dc.subject.classification	Energy & Fuels	en
dc.subject.other	ELECTRICITY PRODUCTION	en
dc.subject.other	SYSTEM	en
dc.title	Simulation and size optimization of a pumped-storage power plant for the recovery of wind-farms rejected energy	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.renene.2007.08.001	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.renene.2007.08.001	en
heal.language	English	en
heal.publicationDate	2008	en
heal.abstract	The hybrid wind-hydro power generation appears to be an attractive solution for isolated, autonomous electric grids in order to increase the wind energy penetration and cost-effectiveness. This work presents a numerical methodology for optimum sizing of the various components of it reversible hydraulic system designed to recover the electric energy that is rejected from wind farms due to imposed grid limitations. The algorithm is applied to study it practical case using time variation data of rejected power from a number of wind farms installed in the island of Crete, Greece. The free design parameters of the system include the turbine size, the size and the number of the pumps, the penstock diameter and thickness, and the reservoirs' capacity, whereas some critical financial parameters are also considered. The numerical procedure combines an evaluation algorithm that simulates in detail the plant operation during a 12-month period, and an automated optimization software based on evolutionary algorithms. The economic analysis uses dynamic evaluation methods and the attainability of various objectives is examined using single or multi-objective optimizations. In addition, the developed numerical toot is used to perform several parametric studies and sensitivity tests in order to analyse in depth the influence of the most important parameters on the plant operation and economic behaviour. The results showed that a well optimized design may be crucial for the technical and economic viability of the examined system. (C) 2007 Elsevier Ltd. All rights reserved.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	RENEWABLE ENERGY	en
dc.identifier.doi	10.1016/j.renene.2007.08.001	en
dc.identifier.isi	ISI:000255599900025	en
dc.identifier.volume	33	en
dc.identifier.issue	7	en
dc.identifier.spage	1685	en
dc.identifier.epage	1694	en