DocumentCode :
2822298
Title :
Modeling for Cascaded Reservoirs Scheduling Considering Policy Factors
Author :
Zhang, Jingrui ; Li, Wu ; Chen, Yang ; Li, Jinpeng
Author_Institution :
Inst. of Syst. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume :
2
fYear :
2009
fDate :
24-26 April 2009
Firstpage :
447
Lastpage :
451
Abstract :
To investigate the effects of related policies on optimal scheduling of cascaded reservoirs, an optimization model considering policy factors is proposed. The object of the model is to maximize the sum of the power profits and the value of final stored water of the system in a finite planning horizon and water relation, power balance, reservoir capacity and discharge rate are regarded as constraints. More important, such policy factors as power price, dispatch mode, flood control and shipping requirement are taken into account simultaneously, i.e., the power price is introduced into the object function of the model and the latter three factors are drawn into constraints. How to set theses policy factors and change the form of the model accordingly is analyzed in detail according to different policy environment. The significant implications of these policy factors on the optimal operation of the system can be revealed by solving this proposed model and some simulations.
Keywords :
optimisation; pricing; profitability; reservoirs; scheduling; water supply; cascaded reservoirs scheduling; dispatch mode; finite planning horizon; flood control; optimization model; power balance; power price; reservoir capacity; shipping requirement; water relation; Costs; Hydroelectric power generation; Optimal scheduling; Power generation; Power system modeling; Pricing; Reservoirs; Systems engineering and theory; Water resources; Water storage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
Type :
conf
DOI :
10.1109/CSO.2009.66
Filename :
5193992
Link To Document :
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