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This paper presents an on-grid photovoltaic (PV) in a micogrid which is including a PV array, a boost converter, an inverter and an LC filter. The main challenge of designing the proposed system is the ability to combine the power electronic converters with the corresponding control method to achieve best performance. In this paper, a voltage-current mode controller is proposed to adjust both the...
This paper presents a novel multi-objective approach to grid connected plug-in hybrid electric vehicle (PHEV) that uses for peak load levelling and load variance minimization. Meanwhile, this optimization technique sizes the capacitor of DC-link to provide sufficient reactive power compensation. This optimization technique is based on fuzzy-decision-making predictive control (FDMPPC) strategy which...
Flexibility of power system can increase by using of special protection scheme (SPS) rather than traditional protection systems. Implementation of SPS often can have the technical issues over than economic issues. This paper presents a new framework for analyze the SPS by considering of the economic and technical drivers. This might lead to the implementation of a special protection scheme in Iranian...
This paper presents a novel technique based on the combination of adaptive linear neuron (ADALINE) and alienation coefficients to busbar faults analysis. This technique is able to differentiate between non-faulty transients such as current transformers (CTs) saturation, capacitive or inductive loads, against fault transients in internal-zone. The magnitudes of three-phase currents are obtained by...
Based on differential algebraic (DA) subsystem models of power system components including the nonlinear controllers, which are called component structural complex models, this paper presents a model reduction method (MRM). For the dynamic differential equations, based on the property that the nonlinearity of the controller compensates that of the component completely (or partially), the presented...
Electric and hybrid electric vehicles are attractive candidates for sustainable transportation due to its higher efficiency and low emission. The critical choice on the electric motors is its capability of motoring and regenerative braking characteristics. Switched reluctance machines are viable candidate as with proper control and extended constant power range operation replacing the multi-gear transmission...
This paper proposes a novel robust control scheme based on delay-dependent H∞ for unified power quality conditioner (UPQC) in a microgrid under the influence of the delay and parameter uncertainties. A new UPQC model considering the effects of the delay and parameter uncertainties is established. Then, the H∞ controller is designed based on the cone complementarity linearization (CCL) algorithm. Finally,...
In this paper a novel control strategy presented to integration of Unified Power Quality Conditioner (UPQC) with Plug-in Hybrid Electric Vehicle (PHEV) for overcoming the voltage sag issues on wind farms where connected to the grid. The interaction between wind generators and grid cause increasing short circuit current level and instability problem during fault condition. A new control strategy established...
Charging of plug-in-hybrid-electric vehicles (PHEVs) may adversely affect electric grid reliability because a large amount of additional electrical energy is required to charge the PHEVs. In this paper, a comprehensive method to evaluate the system reliability concerning the stochastic modeling of PHEVs, renewable resources, availability of devices, etc. is proposed. This method, which consists of...
This paper presents, Cuckoo Search Algorithm (CSA) based Neuro Fuzzy Controller (NFC) to improve the performance of Unified Power Quality Conditioner (UPQC) for voltage sag mitigation in wind farms. CSA is used for optimizing the output of neural network so the classification output of the neural network is enhanced. CSA is an optimization algorithm which inspired by the obligate brood parasitism...
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