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International Conference on electrical Drives and power Electronics (EDPE)

作者： P. Sanjeevikumar J.L. Febin Daya Patrick Wheeler Frede Blaabjerg Viliam Fedák Joseph Olorunfemi Ojo Research & Development Ohm Technologies Chennai India School of Electrical Engineering VIT University Vellore Tamil Nadu IN Power Electronics Machines and Control Group Nottingham University UK Aalborg University Denmark Technical University of Kosice Slovakia Eskom Centre of Excellence in HYDC Engineering University of KwaZulu-Natal Durban South Africa Center for Energy System Research Tennessee Technical University Cookeville USA

This manuscript presents the details about the novel controller using wavelet transform and fuzzy logic tuning for speed control of an induction motor drive. The conventional proportional-integral (PI) speed controller in an indirect vector control of induction motor drive has been replaced by the proposed controller for an improved transient and steady state performances. The discrete wavelet transform has been used to decompose the error speed into different frequency components and the fuzzy logic is used to generate the scaling gains of the wavelet controller. The complete model of the proposed controller along with an induction motor drive incorporating the proposed controller has been developed in numerical simulation software using Matlab/Simulink environment and a set of results are provided within this paper in comparison to the conventional controller scheme.

关键词： Induction motor drives Multiresolution analysis Discrete wavelet transforms Velocity control

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A practical application of the Delphi method in maintenance-targeted resource allocation of distribution utilities

A practical application of the Delphi method in maintenance-...

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International Conference on Probabilistic Methods Applied to power systems (PMAPS)

作者： Payman Dehghanian Moein Moeini-Aghtaie Mahmud Fotuhi-Firuzabad Roy Billinton Sharif University of Technology Tehran Tehran IR Center of Excellence in Electrical Power System Management and Control Sharif University of Technology Tehran Iran Department of Electrical Engineering University of Saskatchewan Saskatoon Saskatchewan Canada

Trying to find the most efficient and cost-effective decisions on the maintenance of different component types in power distribution systems is an increasingly challenging concern largely driven by the current financial constraints in distribution utilities worldwide. In regard to deal with this challenge, the paper presents a practical application of the Delphi method and the Modified Analytical Hierarchical Process (MAHP) that can be used to find the most critical component types of the system in order to assist in accordingly allocating the available maintenance budget. The proposed approach involves the experience and knowledge held by experts and the historical empirical performance data in the utility data management systems to create the associated decisions. The approach has been applied in the Alborz Distribution system in Tehran, Iran. The results obtained and the lessons learned are reported in detail.

关键词： Maintenance engineering Decision making Resource management power distribution power cables Reliability Planning

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A heuristic ranking approach on capacity benefit margin determination using pareto-based evolutionary programming technique

Scientific World Journal

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Scientific World Journal 2015年第1期2015卷 731013页

作者： Othman, Muhammad Murtadha Abd Rahman, Nurulazmi Musirin, Ismail Fotuhi-Firuzabad, Mahmud Rajabi-Ghahnavieh, Abbas Committee of Research (CORE) Advanced Computing and Communication (ACC) Universiti Teknologi MARA Shah Alam Selangor 40450 Malaysia Faculty of Electrical Engineering Universiti Teknologi MARA Shah Alam Selangor 40450 Malaysia Engineering Centre University Malaysia Perlis Kampus Kubang Gajah Arau Perlis 02600 Malaysia Centre of Excellence in Power System Management and Control Electrical Engineering Department Sharif University of Technology Tehran 11365-11155 Iran Department of Energy Engineering Sharif University of Technology Tehrana 11365-11155 Iran

This paper introduces a novel multiobjective approach for capacity benefit margin (CBM) assessment taking into account tie-line reliability of interconnected systems. CBM is the imperative information utilized as a reference by the load-serving entities (LSE) to estimate a certain margin of transfer capability so that a reliable access to generation through interconnected system could be attained. A new Pareto-based evolutionary programming (EP) technique is used to perform a simultaneous determination of CBM for all areas of the interconnected system. The selection of CBM at the Pareto optimal front is proposed to be performed by referring to a heuristic ranking index that takes into account system loss of load expectation (LOLE) in various conditions. Eventually, the power transfer based available transfer capability (ATC) is determined by considering the firm and nonfirm transfers of CBM. A comprehensive set of numerical studies are conducted on the modified IEEE-RTS79 and the performance of the proposed method is numerically investigated in detail. The main advantage of the proposed technique is in terms of flexibility offered to an independent system operator in selecting an appropriate solution of CBM simultaneously for all areas. © 2015 Muhammad Murtadha Othman et al.

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U-shaped energy loss curves utilization for distributed generation optimization in distribution networks

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Journal of Zhejiang University-Science C(Computers and Electronics) 2013年第11期14卷 887-898页

作者： Reza EBRAHIMI Mehdi EHSAN Hassan NOURI Department of Electrical Engineering Science and Research BranchIslamic Azad University Centre of Excellence in Power System Management and Control (CEPSMC) Sharif University of Technology Department of Engineering Design and Mathematics University of the West of England (UWE Bristol)

We propose novel techniques to find the optimal location,size,and power factor of distributed generation(DG) to achieve the maximum loss reduction for distribution *** the optimal DG location and size is achieved simultaneously using the energy loss curves technique for a pre-selected power factor that gives the best DG *** on the network's total load demand,four DG sizes are *** are used to form energy loss curves for each bus and then for determining the optimal DG *** study shows that by defining the energy loss minimization as the objective function,the time-varying load demand significantly affects the sizing of DG resources in distribution networks,whereas consideration of power loss as the objective function leads to inconsistent interpretation of loss reduction and other *** devised technique was tested on two test distribution systems of varying size and complexity and validated by comparison with the exhaustive iterative method(EIM) and recently published *** showed that the proposed technique can provide an optimal solution with less computation.

关键词： Distributed generation(DG) Distribution networks Loss reduction DG optimization Energy loss curves

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A decentralized self-adjusting control strategy for reactive power management in an islanded multi-bus MV microgrid

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Canadian Journal of electrical and Computer Engineering 2013年第1期36卷 18-25页

作者： Hamzeh, Mohsen Mokhtari, Hossein Karimi, Houshang Center of Excellence in Power System Management and Control Sharif University of Technology Tehran 11365-9363 Iran Department of Electrical Engineering École Polytechnique de Montréal QC H3C 3A7 Canada

This paper presents a decentralized self-adjusting reactive power controller for the autonomous operation of a multi-bus medium voltage (MV) microgrid. The main objective of the proposed control strategy of each distributed generation (DG) unit is to compensate the reactive power of its local loads and to share the reactive power of the nonlocal loads among itself and other DG units. The proposed control strategy includes an improved droop controller whose parameters are adjusted according to the reactive power of the local loads. A virtual inductive impedance loop is augmented to the voltage controller to enhance the steady state and transient responses of the proposed reactive power management scheme. The small signal analysis of the proposed method is presented to ensure stability of the system for different reactive power values. The presented strategy considerably enhances the voltage profiles of the microgrid buses as compared with the conventional droop methods. The proposed method does not require any communication link and minimizes the reactive power flow in the MV lines, thus reducing the losses of the overall microgrid. The performance of the proposed control scheme is verified by using digital time-domain simulation studies in the PSCAD/EMTDC software environment. © 2013 IEEE.

关键词： controllers

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Reliability Evaluation of a Composite power system Containing Wind and Solar Generation

Reliability Evaluation of a Composite Power System Containin...

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IEEE International power Engineering and Optimization Conference

作者： Amir Ghaedi Ali Abbaspour Mahmud Fotuhi-Firuzabad Moein Moeini-Aghtaie Muhammad Othman Center of Excellence in Power System Management and Control Sharif University of Technology Faculty of Electrical Engineering Universiti Teknologi MARA

ISBN: (纸本)9781467350723

Variability and uncertainty of wind and photovoltaic (PV) generations greatly influence technical and financial aspects of power systems. This paper examines the potential impacts of large-scale wind and PV farms on reliability level of composite generation and transmission systems. At first, reliability models of renewable-based units are developed. In these models, both component failure rates and uncertainty nature of renewable resources are taken into account. Using the proposed technique, the multi-state analytical models of a wind farm placed in Manjil and a PV farm placed in Jask both in Iran are extracted. Then, reliability studies of high renewable-energies penetrated power system at Hierarchical Level II (HLII) based on the state enumeration method taking into account the multi-state models of renewable-based units are completely addressed. The proposed technique is then applied to two well-known modified test systems, i.e. (RBTS and IEEE-RTS) and different reliability indices are calculated. The obtained results well confirms the proposed method simplicity and accuracy.

关键词： Composite Reliability Evaluation Fuzzy Clustering Photovoltaic Farm Reliability Wind Farm

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A control method for integrating hybrid power source into an islanded microgrid through CHB multilevel inverter

A control method for integrating hybrid power source into an...

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power Electronic and Drive systems and Technologies Conference (PEDSTC)

作者： A. Ghazanfari M. Hamzeh H. Mokhtari The Center of Excellence in Power System Management & Control Sharif University of Technology Tehran Iran

This paper proposes a control strategy for an islanded microgrid to effectively coordinate hybrid power source (HPS) units and to robustly control individual interfaced inverters under unbalanced and nonlinear load conditions. Cascaded H-bridge (CHB) multilevel inverters are flexibly deployed in order to enhance the power quality and redundancy. The HPS employs fuel cell (FC) as the main and supercapacitors (SC) as complementary power sources. Fast transient response; high performance; and high power density are the main characteristics of the proposed HPS system. The presented control strategy consists of a power management strategy for the HPS units and a voltage control strategy for the CHB multilevel inverter. A multi proportional resonant (multi-PR) controller is employed to regulate the load voltage at unbalanced and nonlinear load conditions. The proposed multi-PR controller includes a fundamental voltage controller with harmonic compensators. Digital time-domain simulation studies in the PSCAD/EMTDC environment are given to verify the overall proposed system performance.

关键词： Microgrids Inverters Voltage control Load modeling Transient analysis Generators Phase modulation

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A neural network-based model for wind farm output in probabilistic studies of power systems

A neural network-based model for wind farm output in probabi...

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Iranian Conference on electrical Engineering (ICEE)

作者： S. Riahinia A. Abbaspour M. Fotuhi-Firuzabad M. Moeini-Aghtaie Center of Excellence in Power System Management & Control Sharif University of Technology Tehran Iran

ISBN: (纸本)9781467356329

The penetration of wind energy in power systems has been growing due to its interminable and mild environmental effects. The intrinsic attributes of this environmentally-friendly energy, i.e., the stochastic nature of wind farms generation, however, imposes various technical and financial challenges into power systems. So, developing an accurate wind farm modeling approach aimed at taking into account the wind generation intermittency can relieve many of these challenges. Therefore, this paper takes a step to an efficient wind farm modeling procedure employing an accurate as well as well-known Neural Network (NN)-based tool. The proposed approach is comprised of two main steps. The wind speed is predicted in the first step by the time-series NN method. It then continues in the second step with extracting the predicted wind farm outputs and representing the wind farms generation via a multistate model. To this end, an efficient clustering method, i.e., the Fuzzy c-means Clustering Method (FCM) is employed to find the optimal states. Having applied the proposed approach on the case studies, it will confirm that the proposed analytical multistate model can efficiently consider the wind farms output uncertainties in various studies like the conventional units with less computational burden.

关键词： Wind speed Wind farms Wind turbines Artificial neural networks Analytical models Forecasting Predictive models

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Stabilization of DC microgrids with constant-power loads by an active damping method

Stabilization of DC microgrids with constant-power loads by ...

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power Electronic and Drive systems and Technologies Conference (PEDSTC)

作者： M. Ashourloo A. Khorsandi H. Mokhtari The Center of Excellence in Power System Management & Control Sharif University of Technology Tehran Iran

High penetration of constant-power loads (CPL) in dc microgrids may cause a destabilizing effect on the system that can lead to severe voltage oscillations. This paper addresses stability problems of the CPLs and proposes a simple active damping technique to damp the oscillations caused by CPLs. The particle swarm optimization algorithm has been used to find the best values of the parameters of the proposed active damper to achieve maximum damping of the oscillations. The effectiveness of the proposed approach is verified by simulations.

关键词： Antenna measurements Stability analysis Optimization MATLAB

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A new algorithm for optimal measurement placement, observability analysis and Harmonic State Estimation in power systems

A new algorithm for optimal measurement placement, observabi...

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power Electronic and Drive systems and Technologies Conference (PEDSTC)

作者： Marjan Shafiee Rad Hossein Mokhtari Houshang Karimi Center of Excellence in Power System Management and Control (CEPSMC) Sharif University of Technology Tehran Iran

Harmonic State Estimation (HSE) is a technique for identifying harmonic distributions in power systems with limited measurements. The main problem in HSE is the optimal placement of measurement meters such that the estimation error is minimized, while making the system fully observable. The second issue is the HSE method. This method must be accurate and fast enough in order to have an accurate HSE. This paper presents a new algorithm that uses minimum variance criterion (MVC) and a sequential method for optimal meters placement, SVD method for observability analysis and finally WLS method for harmonic estimation. The proposed method minimizes the number of measurement devices and the error of estimation at the same time and also makes the system fully observable. The proposed algorithm is tested on Mazandaran transmission network, Iran.

关键词： power measurement Current measurement Voltage measurement Measurement uncertainty Time measurement Observability power systems

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