- Optimal Power Flow Distribution
- Power System Reliability and Maintenance
- Smart Grid Energy Management
- Electric Power System Optimization
- Microgrid Control and Optimization
- Power System Optimization and Stability
- Reliability and Maintenance Optimization
- Electric Vehicles and Infrastructure
- Smart Grid Security and Resilience
- Advanced Battery Technologies Research
- Integrated Energy Systems Optimization
- Probabilistic and Robust Engineering Design
- Electrical Fault Detection and Protection
- Energy Load and Power Forecasting
- HVDC Systems and Fault Protection
- Infrastructure Resilience and Vulnerability Analysis
- Power Systems Fault Detection
- Thermal Analysis in Power Transmission
- Islanding Detection in Power Systems
- Energy Efficiency and Management
- Hybrid Renewable Energy Systems
- Smart Grid and Power Systems
- Electric and Hybrid Vehicle Technologies
- Power Transformer Diagnostics and Insulation
- Wind Energy Research and Development
Sharif University of Technology
2015-2024
Aalto University
2019-2023
University of Trieste
2021-2022
University of Alberta
2021-2022
University of California, Santa Cruz
2021-2022
Institute of Electrical and Electronics Engineers
2010-2022
American University of Beirut
2022
Eindhoven University of Technology
2022
INESC TEC
2021
Universidade do Porto
2021
Despite the economic and environmental advantages of plug-in hybrid electric vehicles (PHEVs), increased utilization PHEVs brings up new concerns for power distribution system decision makers. Impacts on networks, although have been proven to be noticeable, not thoroughly investigated future years. In this paper, a comprehensive model is proposed study PHEV impacts residential systems. so doing, fundamental characteristics, i.e., battery capacity, state charge (SOC), energy consumption in...
Considerable developments in the real-time telemetry of demand-side systems allow independent system operators (ISOs) to use reserves provided by demand response (DR) ancillary service markets. Currently, many ISOs have designed programs utilize reserve DR electricity This paper presents a stochastic model schedule wholesale Demand-side is supplied providers (DRPs), which responsibility aggregating and managing customer responses. A mixed-integer representation DRPs its associated cost...
In this paper, a model for the optimal placement of contingency-constrained phasor measurement units (PMUs) in electric power networks is presented. The conventional complete observability first formulated and then, different contingency conditions including losses line outages are added to main model. communication constraints which would limit maximum number measurements associated with each installed PMU considered as limitations. relevant formulations also proposed make more...
This paper proposes a hierarchical outage management scheme to enhance the resilience of smart distribution system comprised multi-microgrids against unexpected disaster events. In this regard, after identifying main features and requirements for resilient scheme, an appropriate framework is devised roles tasks different entities in are introduced. Based on framework, microgrids schedule their available resources first stage using novel model predictive control-based algorithm. second stage,...
Advancements in smart grid technologies have made it possible to apply various options and strategies for the optimization of demand response (DR) electricity markets. DR aggregation would accumulate potential schedules constraints offered by small- medium-sized customers participation wholesale Despite advantages hourly markets, practical market tools that can optimize economic available aggregators participants are not readily attainable. In this context, paper presents an framework The...
This paper investigates the application of immunity genetic algorithm (IGA) for problem optimal placement phasor measurement units (PMUs) in an electric power network. The is to determine sites minimal set PMUs which makes system observable. Incorporating immune operator canonical (GA), on condition preserving GA's advantages, utilizes some characteristics and knowledge problems restraining degenerative phenomena during evolution, so as improve efficiency. type prior about parts solution...
Proliferation of renewable energy resources in distribution networks has captured companies' attention towards more active management tools. Thanks to the smart grid paradigm, hourly network reconfiguration, which is still among immature ideas, can bring activeness required handle fluctuating output resources. The aim this study analyze worthiness reconfiguration presence For doing so, a mathematical model devised minimize daily losses via applying reconfigurations. mixed integer...
Presence of energy hubs in the future vision networks creates a great opportunity for system planners and operators to move towards more efficient systems. The role as intermediate multi-carrier (MCE) systems calls generic framework study new upcoming technical well economical effects on performance. In response, this paper attempts develop general optimization modeling coupled power flow studies different infrastructures. This, large-scale nonlinear problem, is approached through robust...
Phasor measurement units (PMUs) are rapidly being deployed in electric power networks across the globe. Wide-area system (WAMS), which builds upon PMUs and fast communication links, is consequently emerging as an advanced monitoring control infrastructure. Rapid adaptation of such devices technologies has led researchers to investigate multitude challenges pursue opportunities synchrophasor technology, PMU structural design, placement, miscellaneous applications from local perspectives,...
Demand response enabled by time-varying prices can propel the power industry toward a greater efficiency. However, noncoordinated of customers may lead to severe peak rebounds at periods with lower prices. In this regard, coordinated demand scheme mitigate concerns about rebounds. This paper presents system-wide management model coordinate provided residential customers. The objective is flatten total load profile that subject minimum individual cost first formulated as bi-level optimization...
This paper presents a stochastic framework for day-ahead scheduling of microgrid energy storage systems in the context multi-objective (MO) optimization. Operation cost normal conditions and load curtailment index case unscheduled islanding events (initiated by disturbances main grid) are chosen as criteria proposed scheme. In practice, duration disconnection from upstream network is unknown incidents cannot be predicted with certainty. To properly handle uncertainties associated time such...
This paper concentrates on degradation of electric vehicle (EV) lithium-ion batteries in vehicle-to-grid (V2G) programs and proposes a practical wear cost model for EVs charge scheduling applications. As the first step, all factors affecting cycle life are identified their impacts process investigated. Subsequently, general battery loss is devised incorporating pertinent associated with charging discharging activities V2G Modeling as series equal-payments over life, mechanism calculating...
Energy infrastructures are perceived continuously vulnerable to a range of high-impact low-probability (HILP) incidents-e.g., earthquakes, tsunamis, floods, windstorms, etc.- the resilience which is highly on demand. Specifically suited battery energy storage system (BESS) solutions, this paper presents new resilience-driven framework for hardening power distribution systems against earthquakes. The concept fragility curve applied characterize an earthquake hazard, assess its impact systems,...
This paper proposes a new framework for home energy management (HEM) in the context of renewable-based residential hub using probabilistic optimization approach. Different converters and storages, including combined heat power, plug-in hybrid electric vehicle, storage unit, solar panels, generic household appliances, are considered hub. The customer's cost is as objective HEM problem different operational limits components modeled constraints. two-point estimate method incorporated this to...
Fast charging station is indispensable for widespread use of plug-in hybrid electric vehicle (PHEV), as it provides a mean to fully charge PHEV in short period time. Application electrical storage systems (ESSs) fast stations considered way reduce operational costs the and alleviate negative impacts operation on power grid. This paper proposes an approach determine optimal size system station. In first step, demand calculated considering characteristics well driving patterns owners. The ESS...
This paper investigates the optimal operation of distribution feeder reconfiguration (DFR) strategy in smart grids with high penetration plug-in electric vehicles (PEVs) and correlated wind power generation. The increased utilization PEVs system stochastic volatile behavior along renewable sources such as turbines (WTs) can create new challenges that will affect DFR greatly. In order to reach most efficiency from PEVs, idea vehicle-to-grid (V2G) is employed this make a bidirectional flow...
Electric spring (ES) as a breakthrough in power electronics has led to revolution demand-side management. This paper presents flexible management (FPM) of networked microgrid (MG) the presence renewable energy sources (RESs) and flexibility (FSs). The FSs include novel topology integrated unit ES with electric vehicles (EVs) parking (IUEE) incentive-based demand response program (DRP). proposed FPM model is formulated an optimization problem that minimizes difference between expected cost...
Achieving high-distribution reliability levels and concurrently minimizing capital costs can be considered as the main issues in distribution system optimization. Determination of optimum number location switches automation is an important issue from economical points view. In this paper, a novel three-state approach inspired discrete version powerful heuristic algorithm, particle swarm optimization, developed presented to determine locations two types (sectionalizers breakers) radial...
Multiple energy carriers (MECs) have been broadly engrossing power system planners and operators toward a modern standpoint in studies. Energy hub, though playing an undeniable role as the intermediate implementing MECs, still needs to be put under examination both modeling operating concerns. Since wind continues one of fastest-growing resources worldwide, its intrinsic challenges should also treated element crucial vision future networks. In response, this paper aims concentrate on online...
As a matter of course, the unprecedented ascending penetration distributed energy resources, mainly harvesting renewable energies, is direct consequence environmental concerns. This type resource brings about more uncertainties in power system operation and planning; consequently, it necessitates probabilistic analyses performance. paper develops new approach for load flow (PLF) evaluation using unscented transformation (UT) method. The UT method recognized as powerful assessing stochastic...
As a matter of course, the unprecedented ascending penetration distributed energy resources (DERs), mainly harvesting renewable energies (REs), is concomitant with environmentally friendly concerns. This type are innately uncertain and bring about more uncertainties in power system, consequently, necessitates probabilistic analyses system performance. Moreover, parameters may have considerable level correlation to each other, addition their uncertainties. The two point estimation method...
Automation is acknowledged by distribution utilities as a successful investment strategy to enhance reliability and operation efficiency. However, practical approaches that can handle the complex decision-making process faced decision makers justify long-term financial effects of automation have remained scarce. An automated remote-controlled sectionalizing switch play fundamental role in an network. This paper introduces new optimization approach for terms remotely controlled placement....
In this paper, an analytical approach for the reliability modeling of large wind farms is presented. A systematic method based on frequency and duration utilized to model a farm like multistate conventional unit, where probability, occurrence, departure rate each state can be obtained using regional regime turbine characteristics. The proposed capable finding both annual average time load curtailment analytically in presence power. northern region Iran with speed registration one year...