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检索条件"机构=Electrical Engineering Department and Centre of Excellence in Power System Management and Control"

共 115 条记录，以下是51-60 订阅

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An ECS-control scheme to improve power quality in grid connected wind farms

An ECS-control scheme to improve power quality in grid conne...

引用

6th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2012

作者： Hosseini, Hossein Kalantar, Mohsen Electrical Engineering Department Iran University of Science and Technology Tehran Iran Centre of Excellence for Power System Automation and Operation Iran

ISBN: (纸本)9780769547305

Penetration of wind power in power systems causes power quality problems. Consuming large amount of reactive power and injection of harmonic currents are two main problems. In this paper a new control scheme for Energy Capacitor system (ECS) is presented and is applied to compensate reactive power demand and harmonic currents. For this purpose power quality indices according to IEC standard are used. The new scheme is simulated using PSCAD/EMTDC in a grid including a wind farm and a nonlinear load. Simulation results clearly show that this control scheme which applied in ECS improves power quality as per IEC standard as well as reduces harmonics of supply current. © 2012 IEEE.

关键词： power quality

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Small energy resources management for voltage control in transmission level

Small energy resources management for voltage control in tra...

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17th electrical power Distribution Network Conference, EPDC 2012

作者： Horoufiany, Majid Kkazemi, Aahad Maleki, V. Centre of Excellence for Power System Automation and Operation Department of Electrical Engineering Iran University of Science and Technology Tehran Iran Electrical Engineering Department Engineering Faculty Shahrekord University Shahrekord Iran

ISBN: (纸本)9781467314183

High penetration of energy resources and energy storage in smart grids has increased capability of reactive power production. The accurate performance of inverters which connect resources to grids can quickly provide the necessary reactive power consumption or injection for voltage correction. Using the communication infrastructure and management created in smart grids, these end-user reactive-power-capable devices can be coordinated for voltage support. Energy management system (EMS) is responsible for network management in smart grids. The assistants, as Distribution management system (DMS), can be used in very widespread grid to make some of the decisions to control different parts of networks. In this paper, a framework for voltage control by EMS and DMS by introducing a new coefficient is presented. This coefficient is calculated in real time for selection a group of buses that is used for reactive power compensation and voltage correction. Finally discussed how resources selected by DMS. © 2012 Iranian Association of Elect.

关键词： Energy management systems

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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

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. © 2012 IEEE.

关键词： Data mining

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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...

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

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

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

Post Optimal Analysis application on the reliability evaluat...

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

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

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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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Multi-objective particle swarm optimization for transient secure congestion management

Multi-objective particle swarm optimization for transient se...

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2012 11th International Conference on Environment and electrical engineering, EEEIC 2012

作者： Moslemi, Ramin Shayanfar, Heydar Ali Wng, Lingfeng Centre of Excellence for Power System Automation and Operation Iran University of Science and Technology Tehran Tehran Iran Department of Electrical Engineering and Computer Science University of Toledo Toledo OH 43606 United States

ISBN: (纸本)9781457718281

Congestion is a condition in power systems operation in which some transmission lines become fully loaded. This problem intervene considerable amount of extra cost and increase burdens of power market participants. To alleviate congestion, the operator of power system pays participants to modify their active power generation or consumer side demand. This change in operating point would put the power system in the peril and the stability margins would drop because of the increase in participation of critical generators and load demand. Considering security margins as secondary function could maintain power system from instability points by restraining participation of generators and demands. In this paper a multi-objective version of particle swarm optimization is employed to find Pareto solutions of novel secure congestion management in which congestion management cost and Corrected Transient Energy Margin are considered as two competing objective functions. The proposed method has been tested on the New-England power system to validate the efficacy of proposed method. © 2012 IEEE.

关键词： Costs

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