A5064225965- Smart Grid Energy Management
- Optimal Power Flow Distribution
- Electric Power System Optimization
- Complex Network Analysis Techniques
- Disaster Management and Resilience
- Integrated Energy Systems Optimization
- Microgrid Control and Optimization
- Infrastructure Resilience and Vulnerability Analysis
- Opinion Dynamics and Social Influence
- Evacuation and Crowd Dynamics
- Mental Health via Writing
- Power System Optimization and Stability
- Energy Load and Power Forecasting
- Misinformation and Its Impacts
- Smart Grid Security and Resilience
- Public Relations and Crisis Communication
- Power System Reliability and Maintenance
- Probabilistic and Robust Engineering Design
- Lightning and Electromagnetic Phenomena
- Electromagnetic Compatibility and Noise Suppression
- Computational Physics and Python Applications
- Electric Vehicles and Infrastructure
- Healthcare professionals’ stress and burnout
- Thermal Analysis in Power Transmission
- High voltage insulation and dielectric phenomena
Harvard University
2022-2023
Massachusetts General Hospital
2023
Harvard University Press
2023
Virginia Tech
2018-2022
Northumbria University
2020
King Abdulaziz University
2020
Lawrence Livermore National Laboratory
2020
Khalifa University of Science and Technology
2020
Babol Noshirvani University of Technology
2015-2017
Abstract Smart grids are typically modelled as cyber–physical power systems, with limited consideration given to the social aspects. Specifically, traditional system studies tend overlook behaviour of stakeholders, such end‐users. However, impact end‐users and their on operation response disturbances is significant, particularly respect demand distributed energy resources. Therefore, it essential plan operate smart by taking into account both technical aspects, crucial role active passive...
Power grids include entities such as home-microgrids (H-MGs), consumers, and retailers, each of which has a unique sometimes contradictory objective compared with others while exchanging electricity heat other H-MGs. Therefore, there is the need for smart structure to handle new situation. This paper proposes bilevel hierarchical designing planning distributed energy resources (DERs) storage in H-MGs by considering demand response (DR). In general, upper-level based on H-MG generation...
Disinformation can alter or manipulate our values, opinions, and rational decisions toward any life event because disinformation, such as fake news rumors, is propagated rapidly broadly in online social networks (OSNs). Game-theoretic models help people maximize the benefits from dynamic interactions. This work presents an opinion framework formulated by repeated, incomplete information games that model OSN users’ subjective opinions. The users may update their opinions using various...
This paper presents the analysis of a novel framework study and impact different market design criterion for generation expansion planning (GEP) in competitive electricity incentives, under variable uncertainties single year horizon. As investment incentives conventionally consist firm contracts capacity payments, this study, problem is considered from strategic company (GENCO) ′ s perspective, modelled as bi-level optimization method. The first-level includes decision steps related to...
The aim of this paper is to provide a bi-level model for the expansion planning on wind investment while considering different load ranges power plants in systems at multi-stage horizon. Different technologies include base units, such as thermal and water peak units gas turbine. In model, subsidies are considered means encourage turbines. order that uncertainties related demand turbine can be taken into consideration, these effects modelled using variety scenarios. addition, characterized by...
The increasing penetration of renewable energy resources in power systems, represented as random processes, converts the traditional deterministic economic dispatch problem into a stochastic one. To estimate uncertainty (SED) for purpose forecasting, conventional Monte-Carlo (MC) method is prohibitively time-consuming practical applications. overcome this problem, we propose novel Gaussian-process-emulator (GPE)-based approach to quantify SED considering wind penetration. Facing...
A modern power system is characterized by a stochastic variation of the loads and an increasing penetration renewable energy generation, which results in large uncertainties its states. These bring formidable challenges to planning operation process. To address these challenges, we propose cost-effective, iterative response-surface-based approach for chance-constrained AC optimal power-flow problem that aims ensure secure systems considering dependent uncertainties. Starting from...
Each year, several disasters occur, resulting in enormous human, infrastructural, and economic losses. To minimize losses ensure an adequate emergency response, it is vital to prepare the community for greater shock absorption recovery after occurrence. This raises concept of resilience also demands appropriate metrics prediction models improved preparedness adaptability. While a impacted three main ways during disaster, namely social, physical, cyber there are currently no tools model their...
This article develops a community resilience optimization method subject to power flow constraints in the cyber-physical-social systems engineering, which is solved using multiagent-based algorithm. The tool that makes nexus between electric generation on physical side and consumers prosumers social Specifically, levels of emotion, empathy, cooperation, health consumers, are modeled proposed approach while accounting for system their impact critical loads, include hospitals, shelters, gas...
According to the Department of Energy, demand response provides an opportunity for end-users play a significant role in efficiency, reliability, resilience, and sustainability power grid. This is made possible owing existence storage devices diversity energy sources at customer level advent Internet Things. Social influences psychological traits consumers affect their behavior decision-making. Consequently, there necessity bring humans, organizations, societies on system together through...
The reliable operation of a power distribution system relies on good prior knowledge its topology and state. Although crucial, due to the lack direct monitoring devices switch statuses, information is often unavailable or outdated for operators real-time applications. Apart from limited observability system, other challenges are nonlinearity model, complicated, unbalanced structure scale system. To overcome above challenges, this paper proposes Bayesian-inference framework that allows us...
According to the European Union Emissions Trading Scheme, energy system planners are encouraged consider effects of greenhouse gases such as CO 2 in their short-term and long-term planning. A decrease carbon emissions produced by power plant will result a tax decrease. In view this, Dynamic carbon-constrained Equilibrium programming equilibrium constraints (DCC-EPEC) Framework is suggested explore distinct market models on generation development planning (GEP) electricity markets over...
Emergency services and utilities need appropriate planning tools to analyze improve infrastructure community resilience disasters. Recognized as a key metric of is the social well-being during disaster, which made up mental physical health. Other factors influencing directly or indirectly are emotional health, emergency services, availability critical infrastructures such food, agriculture, water, transportation, electric power, communications system. It turns out that in computational...
The COVID-19 pandemic has severely harmed every aspect of our daily lives, resulting in a slew social problems.Therefore, it is critical to accurately assess the current state community functionality and resilience under this for successful recovery.To end, various types sensing tools, such as tweeting publicly released news, have been employed understand individuals' communities' thoughts, behaviors, attitudes during pandemic.However, some portions news are fake can easily mislead respond...
To characterize the current state of mental health within surgical workforce in United States.
The role of distribution system operators (DSOs) has been changed due to deregulation in the sector power systems. In this paper, a bi-level optimization problem is proposed manage day-ahead scheduling an unbalanced with several micro-grids (MGs) decentralized manner. framework, at first level, micro-grid (MGOs) solve their minimize cost for next 24 hours independently and send aggregated demand DSO. Then, level optimization, DSO adjusts main transformer capacitor banks' tap position through...
This paper aims to presents dynamic stochastic an equilibrium problem with constraints (DSEPEC) model invistigate the generation capacity expansion at a certain time horizon and presence of dominant producers. The DSEPEC is proposed while there uncertainty in predicted demand, it modeled based on discrete Markov model. Each producer by bi-level optimization so that first level second provide models for investment operation decisions, respectively. supply function (SFE) used short-term...
This paper presents a Multi-stage stochastic bi-level model for the expansion planning of Wind resources in power systems at multi-stage horizon. In this paper, system consists combination fossil fuel technologies and investment. Demand is characterized by certain number demand blocks. The uncertainty each block (for time period curve) determined scenario. Afterwards, suggested converted to mathematical programming with some equilibrium constraints. Following that, after linearization, mixed...
In this paper we investigate the resiliency planning of interdependent electric power systems and emergency services. We effect level empathy, cooperation, coordination, flexibility, experience individuals on their mental well-being. Furthermore, explore impact information that is provided by services availability energy physical, mental, social well-being individuals. For our simulations, use a stochastic, multi-agent-based numerical framework reported in companion for estimating community...
Power systems serve social communities that consist of residential, commercial, and industrial customers. As a result, the disaster resilience power system should account for community resilience. The behavior psychological features all stakeholders involved in influence level preparedness, mitigation, recovery, adaptability, Hence, there is need to consider community's effect on dependence between them determining system's resilient human-made natural hazards. community, such as county,...