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شبیه سازی اماده برق قدرت با متلب سال انتشار مقاله 2015

نویسنده :هادی
تاریخ:1396/04/14-03:47




:15m1 کد

:عنوان مقاله

A Novel Islanding Detection Technique Based on Wavelet Packet Transform

:چکیده

Abstract— In this manuscript, wavelet packet transforms
(WPT) based method is proposed for detection of the islanding
condition in the distribution system with distributed
generation (DG).The system consist of DG sources like hydro
turbine generator with synchronous machine and wind
turbine generator with asynchronous machine. Negative
sequence component based assessment of fault condition is
considered here. A new feature index named Change of
energy at different node are calculated using WPT for various
islanding and non-islanding fault cases which are very often
occurred practically like capacitor switching, load rejection ,
line to line fault ,three phase fault, voltage sag and swell etc..
The obtained simulated results show the proposed technique is
found to be highly effective for discriminate islanding events
under a wide range of operating conditions from other type of
disturbances in the power distribution network. The proposed
scheme are fully analyzed by extensive MATLAB simulation
study.
Keywords- Negative sequence components; Wavelet transform
(WT); Islanding; WPT

M.Mishra, P.K .Rout , S.Patel
Electrical and Electronics Engineering Department
ITER, S’O’A University
Bhubaneswar, Odisha, India

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15m2 کد

:عنوان مقاله

Single-Phase On-Board Bidirectional PEV Charger for V2G Reactive Power Operation

:چکیده

Abstract—This paper presents the design and implementation
of a single-phase on-board bidirectional
plug-in electric vehicle (PEV) charger that can provide reactive
power support to the utility grid in addition to charging the vehicle
battery. The topology consists of two-stages: 1) a full-bridge
ac–dc boost converter; and 2) a half-bridge bidirectional dc–dc
converter. The charger operates in two quadrants in the activereactive
power (PQ) power plane with five different operation
modes (i.e., charging-only, charging-capacitive, charginginductive,
capacitive-only, and inductive-only). This paper also
presents a unified controller to follow utility PQ commands
in a smart grid environment. The cascaded two-stage system
controller receives active and reactive power commands from
the grid, and results in line current and battery charging current
references while also providing a stable dynamic response. The
vehicle’s battery is not affected during reactive power operation
in any of the operation modes. Testing the unified system
controller with a 1.44 kVA experimental charger design demonstrates
the successful implementation of reactive power support
functionality of PEVs for future smart grid applications.

Index Terms—Battery charger, plug-in electric vehicle (PEV),
reactive power, vehicle-to-grid (V2G).

Mithat C. Kisacikoglu, Member, IEEE, Metin Kesler, Member, IEEE, and Leon M. Tolbert, Fellow, IEEE

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15m3 کد

:عنوان مقاله

Optimal multi objective placement and sizing of multiple DGs and 
shunt capacitor banks simultaneously considering load uncertainty via MOPSO approach

:چکیده

This study proposes a new application of multi objective particle swarm optimization (MOPSO) with the aim of determining optimal location and size of distributed generations (DGs) and shunt capacitor banks (SCBs) simultaneously with considering load uncertainty in distribution systems. The multi objective optimization includes three objective functions: decreasing active power losses, improving voltage stability for buses and balancing current in system sections. The uncertainty of loads is modeled by using fuzzy data theory. This method uses Pareto optimal solutions to solve the problem with objective functions and constraints. In addition, a fuzzy-based mechanism is employed to extract the best compromised solution among three different objective functions. The proposed method is implemented on IEEE 33 bus radial distribution system (RDS) and an actual realistic 94 bus Portuguese RDS and the results are compared with methods of Strength Pareto Evolutionary Algorithm (SPEA), Non-dominated Sorting Genetic Algorithm (NSGA), Multi-Objective Differential Evolution (MODE) and combination of Imperialist Competitive Algorithm and Genetic Algorithm (ICA/GA). Test results demonstrate that the proposed method is more effective and has higher capability in finding optimum solutions in cases where DG and SCB are located and sized simultaneously in a multi objective optimization.

Arash Zeinalzadeh a, Younes Mohammadi a, Mohammad H. Moradi b,⇑
a Young Researchers and Elites Club, Borujerd Branch, Islamic Azad University, Borujerd, Iran
b Faculty of Engineering, Department of Electrical Engineering, Bu-Ali Sina University, Hamedan, Iran

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