Multi-reservoir operation management for optimal electricity production of Namkhan 2 and 3 hydropower plants

การบริหารจัดการอ่างเก็บน้ำเพื่อการผลิตไฟฟ้าที่เหมาะสมที่สุดของโรงไฟฟ้าพลังน้ำ น้ำคาน 2 และ 3

Name: Niko, Bangsulin

ThaSH: Hydroelectric power plants -- Laos

Classification :.DDC: 621.312134

ThaSH: Hydroelectric power plants -- Management

ThaSH: Electric currents

ThaSH: Reservoirs -- Management

ThaSH: Reservoirs -- Laos

Abstract: This study is the multi-reservoir operational management for optimal electricity production, flood control and water supply to downstream river. Study cases are the Namkhan 2 and 3 hydropower plants in Luangphabang, Northern of Laos. The research’s objective is to manage for optimizing electricity production for efficiency and sustainability, to guarantee the energy requirement and water demand to downstream river in dry season. This work analyzes the relationship of both hydropower plants, which consist of water inflow, water outflow, reservoir level and other factors. Those parameters related the reservoir operation. The study finds an optimal model for operating both hydropower plants. The target is to get the maximum benefit and to protect several impacts, which will effect from the reservoir operational management. Theories used are streamflow synthesis and reservoir regulation (SSARR), and improved particle swarm optimization (IPSO) for a long-term multireservoir system operation. Simulation software is HEC-ResSim3.1. Rainfall forecasting models are used to estimate the rain of the lost-data years. The forecasting methodology are of Forecast Function in Microsoft Excel (FFME), Minitab program (MNT), Statistical Package for the Social Sciences (SPSS) program and Fast Fourier Transform (FFT). The forecast results are used in the simulation model for planning the reservoir management. The simulation results will be calibrated and certified the accuracy for measuring by accuracy index, which includes Efficiency Index (EI), Pearson correlation coefficient (R2 ), Root Mean Square Error (RMSE). The simulation results show that electricity generation is increased from 767.85 to 795 GWh/year, which is counted for 3.53% as compared to normal water year. The water released through the spillway in the rainy season decreases 404 million cubic meters for the averaged wet year, which equals 13.6% of water producing power. The optimum rulecurve shows water from both hydropower plants can extend the downstream requirement for about four dry months, March and June. The extra volume of water for the downstream used counts for 320-360 MCM. This work was considered five cases of each watery criterion, which consist of wet year, average wet year, average normal year, average dry year and dry year. Each watery criterions will be analyzed to simulate the multi-reservoir operation for maximizing the energy generation and water supply on downstream Namkhan river whole year. Optimization technique used is configuration of several parameters that relates operation process. The optimization technique is to find out the appropriated parameters for supporting all constraints of each hydropower plants. The results from this research can be attain the methodology for optimal electricity production and water regulation. This research can be helped operator’s decision for planning and managing the multi reservoir operation to guarantee energy enough and water demand. Best operation will be able to protect the risk causing a flood on downstream in rainy season and to optimum power production. This research can be applied into all hydropower plants to attain the reservoir management and electricity production for appropriateness and sustainability

Chiang Mai University Library

Address: Chiang Mai

Email: cmulibref@cmu.ac.th

Name: Kanchit Ngamsanroaj

Role: Chairman

Name: Anucha Promwungkwa

Role: Member

Name: Suttichai Premrudeepreechacharn

Role: Member

Name: Yongyoot Jaiboon

Role: Member

Created: 2017

Modified: 2018-10-10

Issued: 2018-10-10

วิทยานิพนธ์/Thesis

application/pdf

CallNumber: Th 621.312134 N693M

eng

DegreeName: Master of Engineering

Level: Master's Degree

Descipline: Energy Engineering

Grantor: Chiang Mai University

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