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Multi-objective optimization for flood control operation and electricity production of Nam Ngum 1 and 2 hydropower plants |
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| รหัสดีโอไอ | |
| Creator | Vilandone Keophila |
| Title | Multi-objective optimization for flood control operation and electricity production of Nam Ngum 1 and 2 hydropower plants |
| Contributor | Anucha Promwungkwa, Kanchit Ngamsanroaj |
| Publisher | Nakhon Pathom Rajabhat University |
| Publication Year | 2561 |
| Journal Title | Journal of Thai Interdisciplinary Research |
| Journal Vol. | 13 |
| Journal No. | 5 |
| Page no. | 58 |
| Keyword | flood control operation, electricity production, multi-objective optimization technique |
| URL Website | http://rdi.npru.ac.th |
| Website title | วารสารวิจัยสหวิทยาการไทย |
| ISSN | 2465-3837 |
| Abstract | The aim of this paper was to study multi-objective optimization for flood control and electricity production. Thehydropower plants are Nam Ngum 1 and 2, which are large size hydropower plants in central Laos. The optimaloperation required scheduling to minimized flood risk and maximized electricity production. In order to attain thisoptimal operation, a multi-objective optimization for minimizing flood damage, but maximizing electricityproduction 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 simulatingis 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 MovingAverage). The inflow recorded data is 41 years for input the prediction. The simulation results demonstrate thedecrease in spillway release of both hydropower plants is decreased cause the decrease of flood from seven-zerodays. Direct benefit of water control is the increase of electricity production of NNG1 HPP from 1,140 to 1,231GWh/year, which increase of 7.93% compared to conventional operation. The forecasting result is show percentageerror is in acceptable range. |
