Search Results - optimal ((((bus algorithm) OR (ant algorithm))) OR (_ algorithm))
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1
Optimization of reactive power pricing by using ant colony algorithm / Nur Azzammudin Rahmat
Published 2011“…The algorithm is based on ant's behaviour. Ant tends to use the shortest routes between their nest and food source. …”
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2
Study of nature inspired computing (NIC) technique for optimal reactive power dispatch problems
Published 2017“…In this research, new nature-inspired meta-heuristic optimization algorithms namely moth-flame optimizer (MFO) and Ant Lion Optimizer (ALO) were implemented to address the optimal reactive power dispatch (ORPD) problems. …”
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Research Report -
3
Application of Moth-Flame Optimizer and Ant Lion Optimizer to Solve Optimal Reactive Power Dispatch Problems
Published 2018“…This paper presents the application of two nature-inspired meta-heuristic algorithms, namely moth-flame optimizer (MFO) and ant lion optimizer (ALO) in obtaining the optimal settings of control variables for solving optimal reactive power dispatch (ORPD) problems. …”
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4
Completion of contingency ranking selection (N-1) using ant colony optimization algorithm on 500 kV JAMALI system
Published 2022“…To ensure the power system's security, the Ant Colony Optimization (ACO) algorithm was used to run several contingency scenarios (N-1). …”
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5
Optimization of Feeder Bus Routes for Electric Train Service using Ant Colony Algorithm
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Final Year Project -
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Optimal overcurrent relay solutions for protection coordination using metaheuristics approaches with penalty function method
Published 2024“…The algorithms are tested to three test systems which are IEEE 3 bus, 8 bus and 15 bus system to validate the efficiency and superiority of the proposed algorithms. …”
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Optimal power flow solutions for power system operations using moth-flame optimization algorithm
Published 2021“…In IEEE 57-bus test system, MFO offers a minimization of 19.16% compared to 19.03% and 18.98% for Grey Wolf Optimizer (GWO), Whale Optimization Algorithm (WOA) respectively. …”
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8
Expansion power system transmission using ant colony optimization: article / Izzataswad Ibrahim
Published 2015“…This paper presents an application of ant colony optimization (ACO) to optimization the expansion transmission in power system. …”
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Optimum tuning of Unified Power Flow Controller (UPFC) via Ant Colony Optimization (ACO) technique / Zulkiffli Abdul Hamid
Published 2010“…The algorithm was implemented in MATLAB applied to the IEEE-30 Bus Reliability Test System (RTS). …”
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10
Optimal power flow incorporating stochastic wind and solar generation by metaheuristic optimizers
Published 2021“…In this paper, recent metaheuristic algorithms namely Grasshopper Optimization Algorithm (GOA), Black Widow Optimization Algorithm, Grey Wolves Optimizer, Ant Lion Optimizer, Particles Swarm Optimization, Gravitational Search Algorithm, Moth-Flame Optimization and Barnacles Mating Optimizer (BMO) will be used to solve three objective functions of OPF problem viz. (1) cost minimization of the power generation that consists of thermal, stochastic wind and solar power generations, (2) power loss minimization, and (3) combined cost and emission minimization of power generations. …”
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Ant colony optimization (ACO) technique for reactive power planning in power system stability assessment / Mohd Rozely Kalil
Published 2008“…The ACO algorithm is written in MATLAB and tested on IEEE 30-bus Reliability Test System (RTS) in order to verify the proposed technique. …”
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12
Optimal Unit Commitment for Minimizing Total Operating Cost using Ant Lion Optimizer
Published 2023Conference Paper -
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The study of ant colony optimization (ACO) parameters for STATCOM optimization / Melor Md Hodari
Published 2010“…The proposed technique was tested using the standard IEEE 30-bus system and the capability of developed ACO in solving continuous optimization problems has been revealed as the added value in the algorithm.…”
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14
The study of ant colony optimization (ACO) parameters for STATCOM optimization: article / Melor Md Hodari
Published 2010“…The proposed technique was tested using the standard IEEE 30-bus system and the capability of developed ACO in solving continuous optimization problems has been revealed as the added value in the algorithm.…”
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15
Optimal sizing and location of distributed generation for power loss minimization using bee colony algorithm
Published 2023“…There are many methods that can be used for power losses minimization such as Firefly Algorithm (FA), Ant Colony Optimization (ACO) and B-losses coefficient. …”
text::Final Year Project -
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Economic power dispatch of power system with pollution control using ant colony optimization / Ahmad Mat Saad
Published 2010“…The problem of economic dispatch has been forwarded and solved by numerous methods such as dynamic programming, tabu search, simulated annealing and genetic algorithm (GA).In this project, Ant Colony Optimization (ACO) is used to solve the problem of economic dispatch with pollution control. …”
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17
Ant lion optimizer for solving unit commitment with solar photovoltaic integration / Izni Nadhirah Sam’on
Published 2020“…The proposed ALO algorithm is able to identify the global optimum solution since the intensity of ants’ movement is adaptively decreased as the number of iterations increase. …”
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18
Computational intelligence based power tracing for non discriminatory losses charge allocation and voltage stability improvement / Zulkiffli Abdul Hamid
Published 2013“…The hybrid algorithm is termed as the Blended Crossover Continuous Ant Colony Optimization (BX-CACO). …”
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19
Computational intelligence based power tracing for non discriminatory losses charge allocation and voltage stability improvement / Zulkiffli Abdul Hamid
Published 2013“…The hybrid algorithm is termed as the Blended Crossover Continuous Ant Colony Optimization (BX-CACO). …”
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20
Optimizing n-1 contingency rankings using a nature-inspired modified sine cosine algorithm
Published 2025“…Compared with established methods such as Ant Colony Optimization (ACO) and Genetic Algorithm (GA), MSCA exhibits superior computational efficiency while maintaining competitive accuracy. …”
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