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Peak Shaving Considering Streamflow Uncertainties
Abstract
The main thrust of this paper is peak shaving with a Stochastic hydro model. In peak sharing, the amount of hydro energy scheduled may be a minimum but it serves to replace less efficient thermal units. The sample system is die Kainji hydro plant and the thermal units of the National Electric Power Authority. The random nature of the system load is re-organized by using a Markov load model. The results include a modification of the expected load to be served by the array of thermal units, and the optimum schedule for the economic operation of the plant as a peaking load.
