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Improved gravitational search algorithm for optimal placement and sizing of distributed generation for power quality enhancement
Published 2017“…The load flow algorithms from MATPOWER, harmonic load flow and method of fault position has been integrated in MATLAB environment to solve the multi-objective function. …”
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Differential evolution optimization algorithm based on generation systems reliability assessment integrated with wind energy
Published 2019“…This stuffy proposed a novel optimization method labeled the "Differential Evolution Optimization Algorithm" (DEOA) to assess the reliability of power generation systems (PGS). …”
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Ant colony optimization for solving economic dispatch of power system: article / Muhammad Shukri Che Hashim
Published 2009“…Economic dispatch is the method of determining the most efficient, low-cost and reliable operation of a power system by dispatching the available electricity generation resources to supply the load on the system. …”
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Ant colony optimization for solving economic dispatch of power system / Muhammad Shukri Che Hashim
Published 2009“…Economic dispatch is the method of determining the most efficient, low-cost and reliable operation of a power system by dispatching the available electricity generation resources to supply the load on the system. …”
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Modeling and multi-objective optimal sizing of standalone photovoltaic system based on evolutionary algorithms
Published 2020“…Due to the effective attraction-repulsion mechanism of electromagnetic-like (EM) algorithm and reliable exploration and exploitation phases of differential evolution (DE), these two methods were used to determine parameters of the single diode PV model and finding optimal sizing of the SAPV system. …”
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A Chameleon algorithm for solving economic dispatch problem in microgrid system
Published 2024“…This paper presents a Chameleon swarm algorithm (CSA) for determining the optimal ED of distributed energy resources (DER) in the microgrid. …”
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Optimal allocation for combined heat and power system with respect to maximum allowable capacity for reduced losses and improved voltage profile and reliability of microgrids consi...
Published 2023“…Genetic algorithms; Microgrids; Particle swarm optimization (PSO); Power generation; Reliability; Combined heat and power; Loss reduction; Maximum allowable; Micro grid; Voltage profile; Electric load loss; combined heat and power; energy planning; numerical method; optimization; power plant; reduction; standard (reference)…”
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Firefly analytical hierarchy algorithm for optimal allocation and sizing of distributed generation in radial distribution network
Published 2022“…There is a need to achieve optimality in allocating and sizing of DG in the distribution system network. …”
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Sliding mode controller optimization-based three-phase rectifier: review study
Published 2024“…This paper discusses the optimization parameters of SMC and stability and load fluctuation in the rectifier system. …”
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Structural hybridization and economical optimization of strengthening systems used for concrete beams / Md. Moshiur Rahman
Published 2016“…In the mathematical design optimization method, the strengthening cost was minimized using non-linear programming and genetic algorithms where flexural strength and serviceability requirements were used as the major constraints. …”
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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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Success history moth flow optimization for multi-goal generation dispatching with nonlinear cost functions
Published 2023“…Comparing the SHMFO method to other optimization strategies revealed its superiority and proved its capacity to resolve the CEED issue. …”
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Loss reduction in distribution networks using new network reconfiguration algorithm
Published 1996“…As compared to the established methods the proposed method eliminates the need to run numerous load flows.…”
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Performance Modeling And Size Optimization Of A Standalone Photovoltaic System
Published 2013“…Furthermore, a novel analytical size optimization method was formulated involving load demand on the basis of power reliability and system cost. …”
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16
Short-term load forecasting utilizing a combination model: a brief review
Published 2024“…This study emphasizes new research on long short-term memory (LSTM) algorithms related to particle swarm optimization (PSO) inside this area of short-term load forecasting. …”
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Analysis and decentralised optimal flow control of heterogeneous computer communication network models
Published 1993“…The maximum number of packets in transit within the system corresponding to a maximum throughput and can be determined from a preassigned upper bound on the mean time delay, the average allowed load and the parameters of the underlying systems. …”
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Hybrid ANN and Artificial Cooperative Search Algorithm to Forecast Short-Term Electricity Price in De-Regulated Electricity Market
Published 2019“…The unstable nature of electricity price compared to load series causes lower accuracy. Therefore, this research proposes a hybrid method for electricity price forecasting via artificial neural network (ANN) and artificial cooperative search algorithm (ACS). …”
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Modified strut-and-tie models for reinforced concrete deep beams with externally bonded CFRP systems
Published 2017“…Moreover, the particle swarm optimization (PSO) algorithm was used to search for the optimum set of unknown coefficients which are stress distribution and concrete tensile reduction factors. …”
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A Study of Postural Loading in Malaysian Mining Industry using Rapid Entire Body Assessment
Published 2016“…Multi-objective optimisation has been performed using modified Elitist Nondominated Sorting Genetic Algorithm (NSGA-II) with two levels crossover. The optimisation result concluded that the modified NSGA-II was able to converge to Pareto-optimal, but having difficulties to spread solutions in wider range. …”
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