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检索条件"机构=Center of Excellence in Power System Management and Control Sharif University of Technology"

共 115 条记录，以下是51-60 订阅

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Neuro-fuzzy islanding detection in distributed generation

Neuro-fuzzy islanding detection in distributed generation

引用

IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)

作者： Hamideh Bitaraf Mohsen Sheikholeslamzadeh Ali Mohammad Ranjbar Babak Mozafari Center of Excellence in Power System Management and Control Sharif University of Technology Tehran Iran

ISBN: (纸本)9781467312219

Islanding detection methods are divided into three main groups as remote, active and passive. Although passive schemes have larger Non Detection Zones (NDZ) relative to other schemes, they are more used in utilities due to their low costs and less PQ problems than other schemes. Passive Schemes are based on the measurements of passive system parameters. These parameters are measured at the point of common coupling (PCC). A new approach in passive techniques is the use of data-mining to classify the system parameters. In this paper, massive indices are collected by simulation of a practical distribution system in PSCAD/EMTP environment. These indices include voltage, frequency, current, active power and etc. The classifying process of these indices is done by the Adaptive Neuro-Fuzzy Inference system (ANFIS) in MATLAB and the resultant logics and boundaries are implemented by the fuzzy logic using MATLAB software. The results show the effectiveness of ANFIS in reducing the NDZ of passive islanding detection schemes. In addition, this technique can be easily implemented with minor changes to distribution systems with different penetration levels and types of Distributed Generation (DG) as well as different distribution system topology.

关键词： Educational institutions Distributed power generation Electrical engineering power systems Training Fuzzy logic Testing

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Neuro-fuzzy islanding detection in distributed generation

Neuro-fuzzy islanding detection in distributed generation

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2012 IEEE Innovative Smart Grid Technologies - Asia, ISGT Asia

作者： Bitaraf, Hamideh Sheikholeslamzadeh, Mohsen Ranjbar, Ali Mohammad Mozafari, Babak Center of Excellence in Power System Management and Control Sharif University of Technology Tehran Iran Department of Electrical Engineering Sharif University of Technology Tehran Iran Department of Electrical Engineering University of Western Ontario London ON Canada Department of Electrical Engineering Islamic Azad University Tehran Iran

ISBN: (纸本)9781467312219

关键词： Data mining

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An optimal measurement placement method for power system harmonic state estimation

An optimal measurement placement method for power system har...

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International Conference and Exposition on Electrical and power Engineering (EPE)

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) method has been used to locate harmonic sources and estimate harmonic distribution in power systems with limited number of harmonic meters. This paper focuses on a new technique for optimal placement of measurement devices and observability analysis for power systems harmonic state estimation. The proposed method optimizes the number of measurements and minimizes the error of estimation at the same time. The method is tested on the IEEE 14-bus power system to show its precision.

关键词： Harmonic analysis Current measurement power harmonic filters Voltage measurement State estimation Transmission line measurements

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A reliability-oriented outlook on the critical components of power distribution systems

A reliability-oriented outlook on the critical components of...

引用

9th IET International Conference on Advances in power system control, Operation and management (APSCOM 2012)

作者： Payman Dehghanian Mahmud Fotuhi-Firuzabad Sharif University of Technology Tehran Tehran IR Center of Excellence in Power System Management and Control Sharif University of Technology Tehran Iran

ISBN: (纸本)9781629930831

Critical components of a system denote to those which have considerable influences on its both technical and economical performance. This paper is concentrated on the identification of critical components in power distribution systems, more from a reliability viewpoint, to be planned for maintenance schedules. A new straightforward scheme is proposed based on the common load point reliability indices which can easily get through the components prioritization. The presented scheme can then mathematically find the most critical ones to be put under reliability centered maintenance (RCM). Since the maintenance plans are then applied where necessary, the proposed method helps in more effectively reaching the benchmarked reliability indices of a distribution utility, with the minimum costs and the maximum benefits. The effectiveness and applicability of the offered scheme are finally reflected in its application on a real distribution system, i.e. Swedish distribution network belonging to the BIRKA Nat distribution system in the Stockholm City area.

关键词： Critical components Reliability centered maintenance (RCM) Reliability indices power distribution systems Crucial components Electricity Distribution systems reliability index MAINTENANCE PLANS dispensing system

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Impacts of plug-in hybrid electric vehicle uncertainty and grid unavailability on home load management

Impacts of plug-in hybrid electric vehicle uncertainty and g...

引用

International Conference on Environment and Electrical Engineering (EEEIC)

作者： Mohammad Rastegar Amir Safdarian Mahmud Fotuhi-Firuzabad Farrokh Aminifar Center of Excellence in Power System Management and Control Department of Electrical Engineering Sharif University of Technology Tehran Iran

A massive focus has recently been made on demand response (DR) programs, aimed to the electricity price reduction, reliability improvement, and energy efficiency. Basically, DR programs are divided into twofold main categories, namely incentive-based programs and price- or time-based programs. The focus of this paper is on priced-based DR programs including consumer responses to the time differentiated pricing. Home load management (HLM) program is designed to control responsive appliances and charging/discharging cycles of plug-in hybrid electric vehicles (PHEVs) by the consumer. Uncertain parameters associated with PHEV, i.e. its departure/travelling time and energy consumption as well as the grid unavailability in serving the loads are incorporated in the proposed probabilistic HLM model. Numerical simulations are conducted to illustrate the investigated notions and to verify the advantages of the developed model.

关键词： Home appliances Batteries Energy consumption Uncertainty Electricity Petroleum Load modeling

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Transmission grid fault diagnosis by wide area measurement system

Transmission grid fault diagnosis by wide area measurement s...

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IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)

作者： A. Salehi Dobakhshari A. M. Ranjbar Center of Excellence in Power System Management and Control Department of Electrical Engineering Sharif University of Technology Tehran Iran

While the importance of wide area measurement system (WAMS) consisting of phasor measurement units (PMUs) is recognized, there are still unidentified applications that can be addressed with the advance of technology. Traditionally, power system operators diagnosed the fault point through the status of protective relays and circuit breakers of the protection system. In large blackouts, however, the malfunction of protection system has itself often been among the suspects of the disaster. This paper proposes an alternative fault diagnosis approach independent of the function of protection system, utilizing PMU data and bus impedance matrix (Z bus ). First, the proposed method diagnoses the fault area, and next the fault line is diagnosed. Fault location along the diagnosed line is also estimated by wide-area measurements. The proposed method is applied to the IEEE 118-bus test system where the results indicate successful diagnosis of the faulted lines throughout the grid as well as wide area fault location along the faulted line.

关键词： Phasor measurement units Fault diagnosis Circuit faults Artificial intelligence power transmission lines Current measurement Transmission line measurements

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Islanding detection for PV and DFIG using decision tree and AdaBoost algorithm

Islanding detection for PV and DFIG using decision tree and ...

引用

IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)

作者： Seyed Sohail Madani Ali Abbaspour Mojtaba Beiraghi Payam Zamani Dehkordi Ali Mohammad Ranjbar Center of Excellence in Power System Management and Control Department of Electrical Engineering Sharif University-áof Technology Tehran Iran

ISBN: (纸本)9781467325950

Under smart grid environment, islanding detection plays an important role in reliable operation of distributed generation (DG) units. In this paper an intelligent-based islanding detection algorithm for PV and DFIG units is proposed. Decision tree algorithm is used to classify islanding detection instances. This algorithm is rapid, simple, intelligible and easy to interpret. The error rate of this method is reduced by Adaptive Boosting (AdaBoost) technique. The proposed method is tested on a distribution system including PV, DFIG and synchronous generator. Probable events in the system are simulated under diverse operating states to generate classification data set. First and second order derivatives of locally measured electrical parameters are used for construction of 16-dimensional instances. The results indicate that Adaboost technique yields improved islanding detection accuracy. This algorithm is capable of detecting islanding phenomenon under operating states with negligible power mismatch.

关键词： Feature extraction Support vector machine classification Decision trees Classification algorithms Circuit breakers Wind farms Data mining

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A decision tree-based method for power system fault diagnosis by synchronized Phasor Measurements

A decision tree-based method for power system fault diagnosi...

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IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)

作者： Payam Zamani Dehkordi Ahmad Salehi Dobakhshari A. M. Ranjbar Center of Excellence in Power System Management and Control Department of Electrical Engineering Sharif University of Technology Tehran Iran

This paper introduces a novel approach for power system fault diagnosis based on synchronized phasor measurements during the fault. The synchronized measurements are obtained in real time from Phasor Measurement Units (PMUs) and compared with offline thresholds determined by decision trees (DTs) to diagnose the fault. The DTs have already been trained offline using detailed power system analysis for different fault cases. While the traditional methods for fault diagnosis use the status of protective relays (PRs) and circuit breakers (CBs) to infer the fault section in the power system, the proposed method uses the available signals following the fault and thus can be trusted even in case of protection system failure. Therefore, fault diagnosis can be achieved successfully especially in blackout situations, where many CBs and and/or PRs malfunction. Simulation results on the IEEE 118-bus test system show that the proposed method is highly accurate in wide area fault diagnosis in spite of incomplete system observability.

关键词： Area measurement Phasor measurement units Robustness Noise measurement

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Post Optimal Analysis application on the reliability evaluation of the Iran power grid

Post Optimal Analysis application on the reliability evaluat...

引用

International Conference on Environment and Electrical Engineering (EEEIC)

作者： Amir Safdarian Mahmud Fotuhi-Firuzabad Center of Excellence in Power System Management and Control Department of Electrical Engineering Sharif University of Technology Tehran Iran

Access to a computational tractable method for representing the system more realistically has always been an important issue in power system reliability assessment. The Post Optimal Analysis (POA), as a well recognized technique to attack a set of similar optimization problems, has been successfully used to assess the reliability of composite systems. This method exploits the similarity of the system states to speed up the contingency evaluation procedure without sacrificing the accuracy of the results. In this paper, the performance and practical feasibility of the POA technique for power system reliability evaluation is tested using the Iran power grid. The POA based approach is applicable in both sorts of state sampling methods namely analytical enumeration (AE) and Monte Carlo simulation (MCS). Considering the dimension of the Iran power grid, in this paper system states are sampled using the MCS approach. In the simulations, a diverse range of reliability indices at both overall system and individual load point levels are computed with/without POA accommodation. The accuracy and execution time associated with the POA based method are compared with those obtained using the conventional method. Although considerable efforts have been devoted to collect and compile equipments performance data in the Iran grid data collection system, the uncertainty in the availability data of components is inevitable. Accordingly, a sensitivity analysis is carried out to investigate the effects of possible errors in equipments forced outage rates (FORs). The impacts on system risk of different peak load levels are also investigated.

关键词： Reliability power system reliability power grids Interconnected systems Optimization Indexes power transmission lines

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A novel method to assess distribution system reliability considering smart solar cell

A novel method to assess distribution system reliability con...

引用

Iranian Conference on Smart Grids (ICSG)

作者： Mohammad Rastegar Mahmud Fotuhi-Firuzabad Amir Safdarian Center of Excellence in Power System Management and Control Department of Electrical Engineering Sharif University of Technology Tehran Iran

One of the most important issues in the smart grid is to quantitatively assess the impacts of distributed energy resources (DER) on the distribution system reliability. Solar cells (SCs) as developing DERs are normally placed close to the load centers. In this paper, a new algorithm is developed to evaluate distribution system reliability, considering SCs in the vicinity of the end-users. The probabilistic nature of the demand and SC power output are investigated to solve challenges of integrating these intermittent resources with the distribution system. In a smart home, to handle the variation of SC generation, solar load controller (SLC) is utilized to match load and generation of SCs during the islanding mode. Harmonizing load and generation by SLC may cause continual fluctuation in the on/off mode of appliances. In this paper, a structure is proposed to supply the critical load throughout periods in which SC cannot supply the entire associated demand. Simulation results reveal that the proposed method outperforms the conventional one, particularly from the accuracy points of view, while keeping the simplicity and elegance in a reasonable range. Numerical simulations are investigated to verify the miscellaneous aspects of the proposed approach.

关键词： Reliability power generation Home appliances Solar radiation power system reliability Probability density function Indexes

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