- Smart Grid Energy Management
- Power System Reliability and Maintenance
- Optimal Power Flow Distribution
- Smart Grid Security and Resilience
- Electric Power System Optimization
- Microgrid Control and Optimization
- Human-Automation Interaction and Safety
- Energy Load and Power Forecasting
- Reliability and Maintenance Optimization
- Elevator Systems and Control
- Electricity Theft Detection Techniques
- Power Systems and Technologies
- Integrated Energy Systems Optimization
- Electric Vehicles and Infrastructure
- Power Systems Fault Detection
- Building Energy and Comfort Optimization
- Power System Optimization and Stability
- Electrical Fault Detection and Protection
- Risk and Safety Analysis
- Healthcare Technology and Patient Monitoring
- Service-Oriented Architecture and Web Services
- Advanced Battery Technologies Research
- Infrastructure Resilience and Vulnerability Analysis
- Multi-Criteria Decision Making
- Smart Cities and Technologies
K.N.Toosi University of Technology
2016-2025
University of Tehran
2007-2020
Iran University of Science and Technology
2009-2020
Kherson National Technical University
2018
Islamic Azad University Islamshahr Branch
2007-2013
Aalto University
2010
Islamic Azad University, Tehran
2005-2009
Imperial College London
2007
This paper proposes a multi-objective phasor measurement units (PMUs) placement method in electric transmission grids. Further consideration is devoted to the early PMU formulations, simultaneously determine minimum number of PMUs, as well maximum redundancy. Moreover, new methodology presented for valuation observability under contingencies, including line outages and loss PMUs. Furthermore, generalized function introduced allocate PMUs presence conventional non-synchronous measurements....
Energy hubs, as the prospect of future energy systems, are efficient and reliable frameworks for generation, conversion, storage, consumption in multicarrier systems. Existing urban facilities smart cities (SCs) can be considered micro hubs (MIEHs), whereas SC itself regarded a macro hub incorporating its MIEHs. Moreover, interconnection MIEHs is particularly important to achieve high-reliability economical city systems (SCESs). This article presents framework reliability-oriented expansion...
This paper introduces a multi-objective fault indicator (FI) placement method in electric distribution systems. The prevalent FI problem formulation is extended by considering effects of existing protection and control devices on customers' restoration time. Moreover, the average time index (CARTI) proposed, as new technical objective function with respect to uncertainties automatic switching. Furthermore, solution approach developed simultaneously minimize indispensable economic objectives....
Maintenance management, as a key part of the asset management practices, plays vital role in enhancing reliability electricity distribution systems (EDS) where realizing highly reliable EDS is being attributed higher and criticality today's modern society. In this paper, new approach proposed to improve through optimal scheduling preventive maintenance (PM) tasks allocation automatic switches. The suggested objective for PM schedules switch minimize combination customer-based (system average...
A new solution method is introduced to the problem of optimally deploying manual and automatic switches in distribution systems, where product two continuous variables inverse a variable are reformulated as linear relation. This leads (mixed integer problem) MILP power flow formulation too. The objective function includes cost reliability. term itself capital investment, installation, maintenance costs (MC) well customer interruption (CIC); while reliability represented by system average...
Natural disasters like earthquakes, storms, and floods have an adverse impact on the critical infrastructures operation. The severity of occurred damages infrastructure can be assessed by failure probabilities using fragility curves. In this paper, a <underline xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">S</u> tochastic xmlns:xlink="http://www.w3.org/1999/xlink">I</u> nfrastructure xmlns:xlink="http://www.w3.org/1999/xlink">D</u> amage...
This paper presents a new solution approach to determine the optimal number and locations of both manual automatic switches, with respect probabilities all feasible control sequences under contingencies. Furthermore, transformer bus failure rates are incorporated in proposed problem formulation reach more practical results. An artificial bee colony based algorithm is also introduced solve optimization problem. Besides, prevalent cost function switch placement extended by incorporating...
Maintenance management-as a part of the asset management policies-plays vital role in enhancing reliability electricity distribution system (EDS). The electric utility companies devote considerable effort to allocate their financial resources critical parts system, achieve higher efficiencies. In this paper, practical method is proposed for reliability-centered maintenance budgeting. determines optimal actions and execution times EDS feeders. objective minimize total cost, including:...
Self-healing is one of the essential properties smart grid. Improving self-healing capability grid referred to as healer reinforcement. In this paper, a new reinforcement approach introduced, contributing PHEVs, through optimal parking lot (PL) placement and sizing, under contingencies, by considering available control protective devices. Moreover, PL sizing problem formulation extended PHEVs participation both backup storage units in process. contribution could provide electricity for...
Reliability-centered maintenance (RCM) as a subset of the reliability assessment problems, is powerful tool for enhancing reliability, and subsequently achieving customers’ higher satisfaction. However, deterministic RCM models could scarcely guarantee global optimality feasibility their solutions with real-world uncertain failure rates. In this paper, robust model proposed to consider impact rate uncertainty in scheduling problem, followed by two-stage development. The solved using Benders...
Demand forecasting plays an important role as a decision support tool in power system management, especially smart grid and liberalized market. In this paper, demand method is presented by using vector regression (SVR). The proposed applied to practical hourly data of the Greater Tehran Electricity Distribution Company. SVR parameters are selected optimization process investigation on different kernel functions. Moreover, correlation analysis used find exogenous variables. Acceptable...
Although the severity of COVID-19 pandemic has appears to have subsided in most parts world, nevertheless, addition six million deaths, it yielded unprecedented challenges economy, energy, education, urban services, and healthcare sectors. Meanwhile, based on some reports, smart solutions technologies had significant success achieving pandemic-resilient cities. This paper reviews city initiatives contributions prevention treatment coronavirus disease, as well reducing its destructive impact,...
In this study, an analytical method is proposed to calculate exerted axial and radial forces on the high low voltage (LV) windings in core type power transformers. Hence, modelling approach compute short circuit currents transient mode steady state. The model includes non-linear characteristics of materials, eddy effects, symmetrical asymmetrical hysteresis loops used laminates. Then, LV are analytically computed order certify obtained results, two-dimensional (2D) time stepping finite...
In this study, the electric vehicle parking lot (PL) allocation problem is solved through considering PLs ancillary services in both reliability‐related and operational programmes. The objective function aims to simultaneously minimise total reliability cost system average interruption duration index. of includes: customer cost, PL installation, incorporation costs. can provide two restoration process, including: acting as a backup unit for interrupted zone storage feeder, reduce congestion...
Power system reliability enhancement is one of the main goals pursued by making systems smart. Self-healing, which includes fault detection, isolation, reconfiguration and service restoration, most notable feature smart grids in this regards. Increased penetration distributed generation sources power has even more facilitated restoration process. Onn other hand, significant progress technologies used battery manufacturing economically justified utilization electric vehicles improvement...
In the most common hierarchical control structure for microgrids, secondary layer relies on communication technologies receiving feedback data and sending commands. The imperfections of such as delays can cause oscillations during voltage frequency restoration which degrade power quality. This work aims at studying this effect in case a typical AC microgrid islanded mode. For purpose, stochastic delay models industrial protocols are combined with simulation model together its system up to...
In today's world, power outages significantly impact people's lives. Improving the reliability and resiliency of electricity distribution system (EDS) can reduce negative outages. this regard, remote control switches (RCSs) are efficient devices that play a crucial role in enhancing EDSs. However, challenge lies strategically placing these to minimize This paper proposes mixed-integer linear programming (MILP) formulation for optimal allocation RCSs. It considers load uncertainties aims...
Utilities confront challenges to optimally plan and develop the distribution grids both for reducing their imposed costs satisfying customers' electricity needs. In this paper, optimal allocation of automatic manual sectionalizing switches as well protective devices is performed in presence load flexibilities. Control could improve duration-based reliability indices, while frequency-based indices. incentives penalties emergency demand response programs (EDRP) are determined based upon...
Power distribution fault statistics provide splendid resource for extracting experimental knowledge. The extracted knowledge includes the inherit characteristics of network assets. Analysis and estimation failures require a comprehensive understanding faults in terms relevant effective parameters. This paper outlines data-driven model to represent momentary failure rate most influential factors based on study recorded historical data as well expert's experiments Greater Tehran Electricity...