Publication:
Optimal solutions for fixed head short-term hydrothermal system
scheduling problem
Optimal solutions for fixed head short-term hydrothermal system
scheduling problem
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Date
2020
Authors
Thanh Long Duong
Van-Duc Phan
Thuan Thanh Nguyen
Thang Trung Nguyen
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Research Projects
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Abstract
In this paper, optimal short-term hydrothermal operation (STHTO) problem is
determined by a proposed high-performance particle swarm optimization
(HPPSO). Control variables of the problem are regarded as an optimal solution
including reservoir volumes of hydropower plants (HdPs) and power
generation of thermal power plants (ThPs) with respect to scheduled time
periods. This problem focuses on reduction of electric power generation cost
(EPGC) of ThPs and exact satisfactory of all constraints of HdPs, ThPs and
power system. The proposed method is compared to earlier methods and other
implemented methods such as particle swarm optimization (PSO), constriction
factor (CF) and inertia weight factor (IWF)-based PSO (FCIW-PSO), two
time-varying acceleration coefficient (TTVACs)-based PSO (TVAC-PSO),
salp swarm algorithm (SSA), and Harris hawk algorithm (HHA). By
comparing EPGC from 100 trial runs, speed of search and simulation time, the
suggested HPPSO method sees it is more robust than other ones. Thus, HPPSO
is recommended for applying to the considered and other problems in power
systems.
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Keywords
"Hydrothermal system,
Electricity generation cost,
Particle swarm optimization,
Hydraulic constraint,
Power system."