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RISS 인기검색어
- 검색키워드
- 저자 : Niknam Taher (검색결과 5 건)
- 무료
- 기관 내 무료
- 유료
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Taher Niknam,Mohammad Rasoul Narimani,Rasoul Azizipanah-Abarghooee 제어·로봇·시스템학회 2012 International Journal of Control, Automation, and Vol.10 No.4
This paper proposes a multi-objective optimal location of Automatic Voltage Regulators (AVRs) in distribution systems at the presence of Distributed Generators (DGs) by a Fuzzy Adaptive Particle Swarm Optimization (FAPSO) algorithm. The proposed algorithm utilizes an external repository to save founded Pareto optimal solutions during the search process. The proposed technique allows the decision maker to select one of the Pareto optimal solutions (by trade-off) for different applications. The performance of the suggested algorithm on a 70-bus distribution network in comparison with other evolutionary methods such as Genetic algorithm and PSO is extraordinary.
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Taher Niknam,Mokhtar Sha Sadeghi 제어·로봇·시스템학회 2011 International Journal of Control, Automation, and Vol.9 No.1
In this paper, a Multi-objective Modified Honey Bee Mating Optimization (MMHBMO) evolutionary algorithm is proposed to solve the multi-objective Distribution Feeder Reconfiguration (DFR). The real power loss, the number of the switching operations and the deviation of the voltage at each node are considered as the objective functions. Conventional algorithms for solving the multi-objective optimization problems convert the multiple objectives into a single objective using a vector of the user-predefined weights. This paper presents a new MHBMO algorithm for the DFR problem. In the pro-posed algorithm an external repository is utilized to save non-dominated solutions found during the search process. A fuzzy clustering technique is used to control the size of the repository within the limits because of the objective functions are not the same. The proposed algorithm is tested on a distribution test feeder.
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Abbas Khorshidi,Taher Niknam,Bahman Bahmani 대한전기학회 2020 Journal of Electrical Engineering & Technology Vol.15 No.1
This paper proposes a new control scheme for synchronization of microgrids based on a multi-agent asynchronously compensated control algorithm. Each distributed generation (DG) unit is considered as an agent which can communicate with other agents or the main power grid. A new reduced-order observer is also introduced to approximate the frequency of each agent. The approximated parameters are then implemented in the proposed controller to control each DG. It is indicated that each agent in the microgrid can be represented as a dynamic oscillator which are interconnected by coupling and communication links. The proposed decentralized control algorithm is given in asynchronously compensated topology which considers the delay in communication links between agents. The deviation from the desired frequency is modeled in the droop-control structure of each DG. The proposed control scheme is confgured in both leader–follower and leaderless structures and results in frequency coordination among DGs. Therefore, a soft synchronization load sharing performance achieved when there are nonlinear loads such as plug-in hybrid electric vehicles (PHEVs) in the microgrids. The simulation results validate the efectiveness of the proposed control strategy.
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Constrained Robust Control by a Novel Dynamic Sliding Mode Surface
Kazem Zare,Mokhtar Shasadeghi,Taher Niknam,Mohammad Hassan Asemani,Saleh Mobayen 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.3
In this paper, a sliding mode control (SMC) using a novel dynamic sliding surface is proposed for multi-input multi-output (MIMO) nonlinear systems. The proposed control design provides a robust approach with additional degrees of freedom to satisfy the control input constraint. By decomposing the original system into subsystems, the coupling dynamic terms are modelled in the form of system uncertainties. The dynamic sliding surface is established from inspiring state-space representation of an LTI system with error as input, internal states, and the surface as output. Moreover, the adaptive law is designed to estimate the upper bounds of uncertainties. The performance of the proposed controller is evaluated through a benchmark quadruple-tank process (QTP).
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A Novel Sliding Mode Based UPQC Controller for Power Quality Improvement in Micro-Grids
Heidari Mohammad Amin,Nafar Mehdi,Niknam Taher 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.1
This paper presents a novel State Observer Based Sliding Mode controller for UPQC inverters to enhance the power quality in microgrids. In the proposed control scheme, Enhanced extended state observer was applied on a standard sliding mode controller to boost its disturbance rejection capability. The controller was designed to be robust against parameteric and external uncertainties. Further, aff ordable UPQC-grid integration scheme suggested where the photovoltaeek system could be connected to the network via UPQC inverters. Using the suggested confi guration the active and reactive power injection capability was added to UPQC along with its commonly known advantages. Extensive MATLAB Simulink-based theoretical and experimental studies were conducted in diff erent scenarios to verify the effi ciency of the proposed method in improving the power quality indices. Using UPQC with the proposed control scheme shows the better performance than the current traditional UPQC controllers in voltage sag reduction and Harmonics minimization. The main feature of the proposed controller included its accuracy and fast tracking response
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