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.
Highlights
Short-term hydrothermal operation (STHTO) problem considers optimal power generation of hydropower plants (HdPs) and thermal power plants (ThPs) with intent to reduce amount of fossil fuel with very high electric power generation cost (EPGC)
NUMERICAL RESULTS the proposed high-performance particle swarm optimization (HPPSO) is evaluated by comparing results of the method to those from other previous ones and other implemented methods such as particle swarm optimization (PSO), FCIW-PSO, TVAC-PSO, salp swarm algorithm (SSA) and Harris hawk algorithm (HHA)
The performance of the proposed HPPSO can be reflected based on the comparison criteria below: 1) The minimum EPGC: This value indicates the strong search ability of methods
Summary
Short-term hydrothermal operation (STHTO) problem considers optimal power generation of hydropower plants (HdPs) and thermal power plants (ThPs) with intent to reduce amount of fossil fuel with very high electric power generation cost (EPGC). This problem takes into account optimization time period from one operation day to one operation week [1]. Different areas in the same power system are supplied by either ThPs or HdPs, and both ThPs and HdPs together with renewable energies These studies indicate that the power generation combination of ThPs and HdPs is a very important issue in power system. In this paper, the power generation combination for ThPs and HdPs continue to be optimized by selecting FH model as the main characteristic of the combined system
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