Multi-objective optimization for flood control operation and electricity production of Nam Ngum 1 and 2 hydropower plants

Abstract

The aim of this paper was to study multi-objective optimization for flood control and electricity production. The
hydropower plants are Nam Ngum 1 and 2, which are large size hydropower plants in central Laos. The optimal
operation required scheduling to minimized flood risk and maximized electricity production. In order to attain this
optimal operation, a multi-objective optimization for minimizing flood damage, but maximizing electricity
production are put to action. The theories involved are streamflow synthesis and reservoir regulation algorithm
(SSARR), as well as multi-objective particle swarm optimization algorithm (MOPSO). The software for simulating
is HEC-ResSim. The cases studies used inflow data of year 2011 and medium-term inflow forecasting between July-
December 2017, which used IBM SPSS Statistics base on ARIMA Method (Auto Regressive Integrated Moving
Average). The inflow recorded data is 41 years for input the prediction. The simulation results demonstrate the
decrease in spillway release of both hydropower plants is decreased cause the decrease of flood from seven-zero
days. Direct benefit of water control is the increase of electricity production of NNG1 HPP from 1,140 to 1,231
GWh/year, which increase of 7.93% compared to conventional operation. The forecasting result is show percentage
error is in acceptable range.