Day-Ahead Dynamic Economic Emission Dispatch Considering Photovoltaic Predicted Output Using Sailfish Optimizer and Simulated Annealing

Abstract

The Indonesian government continues to focus
on boosting equitable access to environmentally friendly
electricity to all levels of Indonesian society. This can be shown
through the achievement of an electrification ratio of 99.40 per
cent in the third quarter of 2021 coupled with promising
growth in the capacity of Renewable Energy (RE) power
plants. Economic Dispatch (ED) aims to optimize the output
power of generating units to minimize the total cost of power
system operations. With the application of ED, the minimum
generation cost will be obtained for the production of electric
power generated by generating units in an electricity system
while still paying attention to constraints. For hybrid plants
such as the Selayar Solar Power Plant, the challenge to
performing ED is the intermittency of solar energy. So that
before the ED is carried out, solar radiation forecasting is
carried out using LSTM. To measure the accuracy of
forecasting, RMSE, MSE MAE, and MAPE are used with
average results of 6.311, 40.11, 4.61, and 4.87. With the
application of ED, the minimum generation cost is obtained for
the production of electric power generated while still
considering the constraints. Through ED, fuel allocation can be
optimized, helping to reduce production costs and carbon
emissions, and making a positive contribution to
environmental sustainability. To improve ED results in the
sailfish optimizer, the use of simulated annealing is added so
that the results have lower total cost and emission values than
ED without simulated annealing. Rp 128.024 and 398 kg,
respectively.