
Sahar RahimCOMSATS University Islamabad-Wah Campus · Electrical & Computer Engineering
Sahar Rahim
PhD Scholar in Electrical Engineering
Working on POWER grid resilient and stability
About
16
Publications
5,600
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
438
Citations
Introduction
Additional affiliations
January 2016 - present
Education
September 2019 - June 2023
Publications
Publications (16)
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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)
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.
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?
Can anyone have a code or guide to implement expansion planning problems using Distributionally robust optimization?
Share the simplest way to understand the basics of the planning problems.
Why do we use Benders decomposition to solve a distributionally robust optimization model?
Need to know logic behind it
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.
Which solver we can use to solve Robust Optimization with a low computational burden?
*Need to solve the bulk data optimization problem.
Need to solve the bulk data optimization problem.
Projects
Project (1)
Pollution free and Cost-efficient system for the electrical power industry