| dc.description.abstract |
The development of green energy and cutting down fossil fuel fired brown energy is
now matured from the voluntary commitment stage up to a level of fixing national policy targets even
in developing countries [1], [2] including Sri Lanka [3]. Thus, the share of Non Conventional Renewable
Energy (NCRE)in electricity generation is becoming crucial in modern generation planning studies. As
a result, many advanced research studies have been conducted around the world [8]-[13].In particular,
no national level detailed study has yet been conducted to model the macro impacts of large numbers.
of distributed mini hydro plants, in long term planning studies. Owing to the increasing share of
contribution from mini hydro power plants, especially as embedded, non-dispatchable generation,
simplified models such as the thermal equivalent model with high Forced Outage Rate (FOR)which is
the current practise will no longer be justifiable. A suitable model should accommodate the seasonal
variation of energy availability as well as the operational aspects specific to embedded generation.
This study proposes a.probabilistic model to meet this vital requirement of the entire group of mini
hydro plants. The operational aspects of the model have been verified by using the optimisation tool
Wien Automatic System Planning (WASP), the same planning tool used by the Ceylon Electricity
Board (CEB)and many other utilities worldwide for generation planning. Special attention has been
paid to ensure that the model will be suitable for conducting sensitivity studies. The predictability of
the model has been checked with past data.
Although a Sri Lankan case study was applied to validate the model, the technique is more general
and can be adapted for any other case studies as well. |
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