Open AccessOptimal Operation of Two Cascading Reservoir System for Maximizing Hydropower Generation Based on Particle Swarm Algorithm
Author(s) -
Phoutthavanh Sorachampa,
Nakorn Tippayawong,
K. Ngamsanroaj
Publication year - 2021
Publication title -
international journal of electronics and electrical engineering
Language(s) - English
Resource type - Journals
ISSN - 2301-380X
DOI - 10.18178/ijeee.9.1.21-25
Subject(s) - hydropower , particle swarm optimization , hydroelectricity , renewable energy , electricity generation , electric power system , work (physics) , computer science , swarm behaviour , mathematical optimization , environmental science , engineering , civil engineering , water resource management , power (physics) , algorithm , mathematics , electrical engineering , mechanical engineering , physics , quantum mechanics
Hydropower is one of the most significant renewable energy resources, especially for mountainous countries like Laos PDR. Expansion and development of many hydropower projects in the country have presented a challenge to the operation of multiple reservoir system. Nam Ngum river was the focus of this work, where there are two or more cascading reservoirs. Optimal operation of such system is of interest, with the main goal of maximizing power generation. A multi-objective Particle Swarm Optimization (PSO) was adopted in this study, applying to two cascading reservoirs of Nam Ngum 1 and 2 hydropower plants. It was demonstrated that increases in hydroelectric power generation could be realized for all cases of normal, dry and wet years, compared to the traditional actual operation of the hydropower plant system. Similar approach may be adopted to assess opportunities in other water management problems.