Sahar Rahim

Sahar Rahim
COMSATS University Islamabad-Wah Campus · Electrical & Computer Engineering

PhD Scholar in Electrical Engineering
Working on POWER grid resilient and stability

About

16
Publications
5,600
Reads
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438
Citations
Additional affiliations
January 2016 - present
COMSATS University Islamabad
Position
  • Lecturer
Education
September 2019 - June 2023
Zhejiang University
Field of study
  • Electrical power engineering

Publications

Publications (16)
Article
Over the past decade, escalating trends toward renewable energy resources, electrified transportation, magnifying load demand, erratic energy reserve capacities, dynamic demand response programs, and fast ubiquitous connectivity models have amplified the complexity of energy predicaments owing to the acute intensification of operational and technic...
Article
The power grid infrastructure encounters multiple uncertainties such as unprecedented energy generation from non-dispatchable resources, erratic load, intensifying energy demand, the transition towards electric mobility, and the electricity market that exaggerate the decision-maker’s difficulties in the power system. How to deal with massive real-t...
Article
Full-text available
In smart grids, a hybrid renewable energy system that combines multiple renewable energy sources (RESs) with storage and backup systems can provide the most cost-effective and stable energy supply. However, one of the most pressing issues addressed by recent research is how best to design the components of hybrid renewable energy systems to meet al...
Article
Full-text available
In smart grids, a hybrid renewable energy system that combines multiple renewable energy sources (RESs) with storage and backup systems can provide the most cost-effective and stable energy supply. However, one of the most pressing issues addressed by recent research is how best to design the components of hybrid renewable energy systems to meet al...
Chapter
The concept of cloud computing is becoming popular with each passing day. Clouds provide virtual environment for computation and storage. Number of cloud users is increasing drastically which may cause network congestion problem. To avoid such situation, fog computing is used along with cloud computing. Cloud act as a global system and fog works lo...
Presentation
Full-text available
Conference Paper
The concept of cloud computing is becoming popular with each passing day. Clouds provide virtual environment for computation and storage. Number of cloud users is increasing drastically which may cause network congestion problem. To avoid such situation, fog computing is used along with cloud computing. Cloud act as a global system and fog works lo...
Chapter
Demand side management (DSM) and demand response (DR) are the key functions in smart grids (SGs). DR provides an opportunity to a consumer in making decisions and shifting load from on-peak hours to off-peak hours. The number of incentive base pricing tariffs are established by a utility for the consumers to reduce electricity consumption and manag...
Conference Paper
Demand side management (DSM) and demand response (DR) are the key functions in smart grids (SGs). DR provides an opportunity to a consumer in making decisions and shifting load from on-peak hours to off-peak hours. The number of incentive base pricing tariffs are established by a utility for the consumers to reduce electricity consumption and manag...
Article
In this paper, we comparatively evaluate the performance of home energy management controller which is designed on the basis of heuristic algorithms; genetic algorithm (GA), binary particle swarm optimization (BPSO) and ant colony optimization (ACO). In this regard, we introduce a generic architecture for demand side management (DSM) which integrat...
Conference Paper
Full-text available
In this paper, we introduce a generic architecture for demand side management (DSM) and use combined model of time of use tariff and inclined block rates. The problem formulation is carried via multiple knapsack and its solution is obtained via ant colony optimization (ACO). Simulation results show that the designed model for energy management achi...
Thesis
Full-text available
Smart grid (SG) is evolutionary idea in which all components of conventional power grid are modernized with the advance integration of information technology, sensors and autonomous system. The bi-directional flow of information and power in SG with optimal integration of renewable energy sources encourage customers to participate in energy managem...
Conference Paper
The energy demand of residential end users has been so far largely uncontrollable and inelastic with respect to the power grid conditions. In this paper, we describe a scheme to solve multiple knapsack problems (MKP) using heuristic algorithms. Keeping total energy consumption of each household appliance under certain threshold with maximum benefit...
Conference Paper
Regarding energy efciency in Wireless Sensor Networks (WSNs), routing protocols are engaged in a playful manner suggesting a consciousness of high value. In this research work, we present Circular Joint Sink Mobility (CJSM) scheme for WSNs. Our proposed scheme increases the stability period, network lifetime and throughput of the WSN. The beauty of...

Questions

Questions (12)
Question
I need a dataset for hourly solar and wind production in 2021 in the area of Illinois, USA. Can anyone help me?
**Irradiance and wind speed are not required.
Question
I am implementing Distributionally robust optimization using bender decomposition in GAMS. Can anyone provide me with any helping material or source code for the implementation of expansion planning problems?
Question
Can anyone have a code or guide to implement expansion planning problems using Distributionally robust optimization?
Question
Share the simplest way to understand the basics of the planning problems.
Question
Why do we use Benders decomposition to solve a distributionally robust optimization model?
Question
Dear Network,
I need your expert suggestions, "What should I do if I do not agree with the points of the objection of two reviewers out of eight on my manuscript".
Expert opinions will be highly appreciated
Thank you.
Question
Which solver we can use to solve Robust Optimization with a low computational burden?
*Need to solve the bulk data optimization problem.
Question
Need to solve the bulk data optimization problem.

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Cited By

Projects

Project (1)
Project
Pollution free and Cost-efficient system for the electrical power industry