In this paper, a novel compensator based on Magnetically Controlled Reactor with Fixed Capacitor banks (FC-MCR) is introduced and then power system stability in presence of this compensator is studied using an intelligent control method. The problem of robust FC-MCR-based damping controller design is formulated as a multi-objective optimization problem. The multi-objective problem is concocted ...

a multi objective honey bee mating optimization (hbmo) designed by online learning mechanism is proposed in this paper to optimize the double fuzzy-lead-lag (fll) stabilizer parameters in order to improve low-frequency oscillations in a multi machine power system. the proposed double fll stabilizer consists of a low pass filter and two fuzzy logic controllers whose parameters can be set by the ...

A multi objective Honey Bee Mating Optimization (HBMO) designed by online learning mechanism is proposed in this paper to optimize the double Fuzzy-Lead-Lag (FLL) stabilizer parameters in order to improve low-frequency oscillations in a multi machine power system. The proposed double FLL stabilizer consists of a low pass filter and two fuzzy logic controllers whose parameters can be set by the ...

Texture image classification is an important topic in many applications in machine vision and image analysis. Texture feature extracted from the original texture image by using "Tuned" mask is one of the simplest and most effective methods. However, hill climbing based training methods could not acquire the satisfying mask at a time; on the other hand, some commonly used evolutionary algorithms...

Climate change in the watershed above reservoir has a direct impact on quantity of streamflow that enters and management water resources. Developing effective rule curves helps reduce risk future failures resource management. The purpose this study was to analyze influence climate volume entering Ubolratana Reservoir, Thailand during years 2020–2049 with simulations from CIMP5 model under RCP4....

Objectives: To propose a novel hybrid control plan to enhance the power quality (PQ) of distributed energy sources (DERs) such as solar (SE), wind (WE), and battery storage system (BEES) technologies. Method: A BEES, PV farm, farm are integrated into grid supply home loads. The ABMO-ANN is method that combines Hybrid Barnacles Mating Optimization Algorithm (HBMO) Artificial Neural Network (ANN)...

In this paper a Multi-objective Honey Bee Mating Optimization (MOHBMO) technique is applied to damp power system oscillation by tuning the Power System Stabilizer (PSS) parameters. Selecting the parameters of PSS which simultaneously stabilize system oscillations is converted to a simple optimization problem which is solved by a HBMO. In the proposed syndicate tuning technique, two performances...

Phasor measurement units (PMUs) are important devices for protection, monitoring, and control of modern power systems. Unlike the supervisory data acquisition (SCADA) system which only measure magnitude, PMUs can provide a set synchronized phasor measurements with high sampling rate accuracy less than one second, better monitoring especially during outages. Since costly devices, operator is not...

This paper presents a metaheuristic approach based on the Honey Bee Mating Algorithm (HBMA) to the problem of hydropower reservoir optimization. As shortage in power resources becomes more and more pressing, the issue of obtaining more power using less primary energy resources, in general, and less water resources, in particular, becomes an important target for the efficient usage of hydropower...

Over the last decade, evolutionary and meta-heuristic algorithms have been extensively used as search and optimization tools in various problem domains, including science, commerce, and engineering. Their broad applicability, ease of use, and global perspective may be considered as the primary reason for their success. Honey bees mating process may also be considered as a typical swarm-based ap...