Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/126392
Authors: 
Gebretsadik, Yohannes
Fant, Chas
Strzepek, Kenneth
Year of Publication: 
2014
Series/Report no.: 
WIDER Working Paper 2014/161
Abstract: 
The present study develops a reliability assessment method of wind resource using optimum reservoir target power operations that maximizes the firm generation of integrated wind and hydro power. A combined water resources model for a system of reservoirs that implements a priority based linear programing algorithm and a single node power grid system model is implemented on an hourly time step. This model was then accompanied by a genetic algorithm solver to determine optimum operation targets for each storage reservoir aiming at maximizing the 90th percentile power generation produced by the integration of wind and hydro over the entire simulation period. This model is applied on the reservoir storages and hydro power system in the Zambezi River basin to demonstrate how storage reservoirs could be used to offset wind power intermittence in South Africa subjected to different physical and policy constraints. Based on the optimized target operation and hourly data for the year 2010, the water resources system and power interconnection system were simulated together to assess the maximum firm generation of power as a result of the new wind and hydro combination target for storage hydro power plants. The result obtained indicates that high regulation of wind and hydro can be achieved as a result of combined operation and showed an increased level of wind penetration in South Africa's power system over the reference scenario. The results also indicated a reduced level of coal power utilization and less cycling requirement. This will have a positive outcome in terms of contributing to South Africa's goal towards reducing greenhouse gas emissions and the efforts to build green energy supply and resilience to the impacts of climate change.
Subjects: 
wind
hydro power
optimized operation
Zambezi
Congo
JEL: 
C63
Q25
Q54
ISBN: 
978-92-9230-882-7
Document Type: 
Working Paper

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