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1
Solving economic load dispatch problem using genetic algorithm method / Norliza Kamarulzaman
Published 2009“…In this study, Genetic Algorithm method is used to overcome this problem. …”
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2
Distributed generation allocation to reduce losses and improve voltage profile genetic algorithm: article
Published 2010“…I used Newton Raphson for load flow algorithm and composed it with Genetic Algorithm. …”
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3
Economic dispatch with piecewise linear function and line loss / Amir Ashraf Mohd Johari
Published 2014“…A generalized computer algorithm is developed which uses an iterative solution of lineaized cost function to find the economic dispatch of the power system generation. …”
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4
Optimal power flow solutions for power system operations using moth-flame optimization algorithm
Published 2021“…Three objective functions will be considered: generation cost minimization, transmission power loss minimization, and voltage deviation minimization using a weighted factor. …”
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5
Application of shuffled frog leaping algorithm for economic dispatch with multiple fuel options / Muhammad Akif Abu Bakar
Published 2016“…This study proposes the SFLA method to determine the optimal combination of power outputs of the generating units with the most minimum fuel cost while taking into considerations the constraints of the generating units. …”
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6
Simulated annealing for solving economic dispatch problem / Wan Khairulizuan Wan Ismail
Published 2010“…To evaluate the proposed method, a six unit generating power system was tested in order to obtain the minimum cost of generator. …”
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7
Optimal location and size of distributed generation to reduce power losses and improve voltage profiles using differential evolution optimization method
Published 2016“…The results obtained by using the DE method were compared with those obtained by genetic algorithm (GA) method. …”
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8
Improved gravitational search algorithm for optimal placement and sizing of distributed generation for power quality enhancement
Published 2017“…The optimization problem is generated using a weighted sum method. In order to obtain the best compromise solution, a novel heuristic algorithm based on improved gravitational search algorithm (IGSA) is proposed as an optimization technique. …”
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9
Optimal power flow using the Jaya algorithm
Published 2016“…This paper presents application of a new effective metaheuristic optimization method namely, the Jaya algorithm to deal with different optimum power flow (OPF) problems. …”
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10
Optimal power flow using hybrid firefly and particle swarm optimization algorithm
Published 2020“…In this work, five objective functions of OPF problems are studied to prove the strength of the proposed method: total generation cost minimization, voltage profile improvement, voltage stability enhancement, the transmission lines active power loss reductions, and the transmission lines reactive power loss reductions. …”
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11
An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm
Published 2016“…To simplify the programming, objective of economic dispatch (ED) and emission dispatch (EmD) are combined into a single function by price penalty factor and analysed using weighted sum method to choose the best compromising result. …”
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12
Backtracking search algorithm for optimal power dispatch in power system / Mostafa Modiri Delshad
Published 2016“…The main objectives of the power dispatch problem are to minimize the generation cost and emission amount of generators as well as to meet the power demand. …”
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13
Optimal Location And Sizing Of Distrubuted Generator Using PSO And GA Algorithms In Power Systems
Published 2019“…In fact, there are several algorithms used for optimizing the size and finding the best location to install DG units in the power system. …”
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14
Effective method for optimal allocation of distributed generation units in meshed electric power systems
Published 2011“…The approach, taking into account the system constraints, maximises the system loading margin as well as the profit of the DISCO over the planning period. These objective functions are fuzzified into a single multi-objective function, and subsequently solved using genetic algorithm (GA). …”
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15
Economic power dispatch solution with non-smooth cost functions using differential evolution / Muhammad Firdaus Abd Rahim
Published 2011“…A 3-unit generator system is used to test the proposed method. …”
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16
Performance optimization on axial-flux permanent magnet coreless generator using novel hybrid computational method based on genetic algorithm and pattern search / Lok Choon Long
Published 2016“…Improved hybrid optimization method using Pattern Search (PS) and Genetic Algorithm (GA) onto Axial-Flux Permanent Magnet (AFPM) Coreless generator is presented in this thesis, and the optimization is based on the popular multi-objective sizing equation. …”
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17
Economic power dispatch solution with non-smooth cost functions using differential evolution: article / Muhammad Firdaus Abd Rahim
Published 2011“…A 3-unit generator system is used to test the proposed method. …”
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18
Optimization and control of hydro generation scheduling using hybrid firefly algorithm and particle swarm optimization techniques
Published 2018“…To deal with these problems, this thesis introduces three approved intelligent controllers for hydropower generation. Firstly, a hybrid algorithm namely firefly particle swarm optimization (FPSO) and series division method (SDM) based on the practical swarm optimization and the firefly algorithm is proposed. …”
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19
Firefly analytical hierarchy algorithm for optimal allocation and sizing of distributed generation in radial distribution network
Published 2022“…As for multi-objective functions associated with the optimisation problem, a weight-sum method is typically used to determine each objective function's coefficient factors (CF). …”
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20
Field data-based mathematical modeling by Bode equations and vector fitting algorithm for renewable energy applications
Published 2018“…The most powerful features of this method is the ability to model irregular or randomly shaped data and to be applied to any algorithms that estimating models using frequency-domain data to provide state-space or transfer function for the model.…”
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