Search Results - (( control optimization based algorithm ) OR ( loading optimization strategy algorithm ))

Optimal load management strategy for enhanced time of use (ETOU) electricity tariff in Peninsular Malaysia / Mohamad Fani Sulaima by Sulaima, Mohamad Fani

“…Based on the output of the controlled load assessment, the optimal weightage of LM was identified. …”
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Assessment of energy storage and renewable energy sources-based two-area microgrid system using optimized fractional order controllers by Peddakapu, K., Mohd Rusllim, Mohamed, Srinivasarao, P., Arya, Yogendra

“…Simulation results reveal that the AOA-based CFOID-FOPIDN outperforms other existing algorithms, such as particle swarm optimization (PSO), bat algorithm (BAT), moth flame optimization (MFO), and whale optimization algorithm (WOA). …”
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Optimal operation and control of hybrid power systems with stochastic renewables and FACTS devices: An intelligent multi-objective optimization approach by Premkumar M., Hashim T.J.T., Ravichandran S., Sin T.C., Chandran R., Alsoud A.R., Jangir P.

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Reliability-aware swarm based multi-objective optimization for controller placement in distributed SDN architecture by Ibrahim, Abeer A.Z., Hashim, Fazirulhisyam, Sali, Aduwati, Noordin, Nor K., Navaie, Keivan, Fadul, Saber M.E.

“…The algorithm identifies the optimal controller location, minimum number of controllers, and the expected assignment costs after failure at the lowest effective cost. …”
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Grey Wolf optimization based power management strategy for battery storage of dfig-wecs in standalone operating mode by Nasir Uddin M., Khairul Amin I., Rezaei N., Marsadek M.

Optimal parameter estimation of permanent magnet synchronous motor by using Mothflame optimization algorithm / Abdolmajid Dejamkhooy and Sajjad Asefi by Dejamkhooy, Abdolmajid, Asefi, Sajjad

“…In the next step, the parameter identification as an optimization problem is solved by Moth-flame optimization, which is a novel nature-inspired heuristic algorithm. …”
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Sliding mode controller optimization-based three-phase rectifier: review study by Mahmood, Omar Talal, Wan Hasan, Wan Zuha, Ismail, Luthffi Idzhar, Ramli, Hafiz Rashidi Harun

“…Numerous control strategies are used to optimize the performance of the three-phase rectifier. …”
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Optimizing energy and reserve minimization in a sustainable microgrid with electric vehicle integration: dynamic and adjustable manta ray foraging algorithm by Abed, Adnan Ajam, Suwaed, Mahmood Sh., Al-Rubaye, Ameer H., Awad, Omar I., Mohammed, M.N, Hai, Tao, Kadirgama, Kumaran, Karah Bash, Ali A. H.

“…The DAMRF algorithm harnesses the inherent flexibility of EVs as controllable loads and develops a comprehensive dispatch model for a large-scale EV response. …”
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Hybrid firefly and particle swarm optimization algorithm for multi-objective optimal power flow with distributed generation by Khan, Abdullah

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Optimization and Control of Economic Dispatch for Power Systems by Ab Ghani, Mohd Ruddin

“…This paper presents a model and a solution scheme for optimizing and control of an economic and secure dispatch system for power systems. …”
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Frequency stabilization in interconnected power system using bat and harmony search algorithm with coordinated controllers by K., Peddakapu, M. R., Mohamed, P., Srinivasarao, P.K, Leung

“…To enhance the outcome of the proposed 2DOF–TIDN controller, its gain parameters are optimized with the use of a newly designed hybrid bat algorithm-harmony search algorithm (hybrid BA–HSA) technique. …”
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Long-term optimal planning for renewable based distributed generators and battery energy storage systems toward enhancement of green energy penetration by ALAhmad A.K., Verayiah R., Shareef H.

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Heuristic resource allocation algorithm for controller placement in multi-control 5G based on SDN/NFV architecture by Ibrahim, Abeer Abdalla Zakaria, Hashim, Fazirulhisyam, Noordin, Nor Kamariah, Sali, Aduwati, Navaie, Keivan, Fadul, Saber Mohammed Elnour

“…A Greedy Randomized Search (GRS) algorithm was used to solve the dynamic assignment of nodes to controllers to achieve load balancing. …”
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Advancing voltage control in DC microgrids: a comparative study with IGWO-based H∞ control by Kavousighahfarokhi, Arash, Mohd Radzi, Mohd Amran, Noorbakhsh, S. Mohammad, Khorshidi, Elahe, Hematzadeh Dastgerdi, Pedram, Karimi, Mojtaba, Torki Harchegani, Amir

“…This paper proposes the utilization of an Improved gray Wolf Optimization (IGWO) algorithm-based H-infinity (H∞) control approach to enhance traditional droop control techniques and address instability concerns. …”
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Improved smoothed functional algorithmsoptimized pid controller for efficient speed regulation of wind turbines by Mohd Ashraf, Ahmad, Yoganathan, G., Muhammad Ikram, Mohd Rashid, Hao, Mok Ren, Mohd Zaidi, Mohd Tumari

“…However, existing PID speed control strategies often struggle to handle wind fluctuation, increasing interest in adopting improved optimization methods to fine-tune PID controller. …”
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Energy management system for optimal operation of microgrid consisting of PV, fuel cell and battery / Shivashankar Sukumar by Shivashankar , Sukumar

“…The BESS sizing problem is solved using grey wolf optimizer (GWO), particle swarm optimization (PSO), artificial bee colony (ABC), gravitational search algorithm (GSA), and genetic algorithm (GA). …”
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Three-dimensional coverage control for multi-unmanned aerial vehicle by Siow, Wen Hao

“…This study proposes a 3D coverage control algorithm to address complex real-world scenarios, wherein the 3D control algorithm will be developed based on the 2D MBC scheme. …”
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A krill herd behaviour inspired load balancing of tasks in cloud computing by Hasan, Raed Abdulkareem, Mohammed, Muamer N.

“…The speed, task cost, and weight of the tasks were first determined, after which, the Krill herd optimization algorithm was for the load balancing based on the measured parameters. …”
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Study of fuzzy based control algorithm for dynamic voltage restorer by Taghizadeh S., Tan N.M.L., Karimi-Ghartemani M.

Optimal Design of Damping Control of Oscillations in Power System Using Power System Stabilizers with Novel Improved BBO Algorithm by Kasilingam G., Pasupuleti J., Kasirajan S.K., Nagarathinam A., Natesan D.